Senior AI Software Engineer Google Jobs in Bengaluru

Senior Software Engineer (Backend) Location: Bengaluru Hiring is still rooted in outdated processes manual screening, unconscious bias, long feedback cycles, and excessive administrative overhead. Organizations spend more time managing hiring than discovering real talent. At Talview, we re changing that with AI that actually works. We build GenAI-powered hiring and assessment platforms that make recruitment faster, fairer, and scalable. Our AI Products Alvy The world s first AI Proctoring Agent. Ivy A conversational AI Interviewer transforming first-round screenings. Our impact: 10M+ assessments delivered across 120+ countries. The Role We are looking for a Senior Software Engineer (Backend) to build high-performance systems. You will work across Talview s backend ecosystem including PostgreSQL, Redis, AWS Lambda, GraphQL, Hasura, Temporal, and microservices to deliver secure, reliable, and globally scalable solutions. What You ll Do Design and operate scalable microservices supporting millions of assessments. Monitor and optimize system performance and efficiency. Own backend services end-to-end from development to maintenance. Collaborate with Frontend, QA, Product, and Customer Success teams. Solve engineering challenges directly impacting platform stability. You Might Be a Fit If You Have Required Qualifications: 4 6 years of backend engineering experience, primarily with Node.js. Deep understanding of OOP, design patterns, and SOLID principles. Experience with unit, integration, and functional testing. Strong knowledge of distributed systems and SQL (PostgreSQL). Working knowledge of Docker, Kubernetes, and microservices. Familiarity with: Time-series & Messaging: InfluxDB, Prometheus, Kafka, RabbitMQ, SQS. Caching & Frameworks: Redis, Hasura, Apollo. Cloud: AWS S3, Azure Blob. Bonus Points: Experience in SaaS or high-scale product environments. Hands-on experience with AI-assisted coding tools (Cursor, Windsurf, etc.). Understanding of Agile/Scrum methodologies. Our Culture: The 5Cs We re driven by Collaboration, Commitment, Credence, Customer-centricity, and Candor. We work together, ship quality, and communicate openly. What You Get Competitive compensation and best-in-class hardware. Flexibility: 5-day work week and flexible hours. Growth: Accelerated career paths in a fast-scaling organization. Perks: Stocked pantry, monthly lunches, and annual offsites.

Senior Software Engineer (Frontend) Location: Bengaluru Hiring is still trapped in the past: manual screening, unconscious bias, and administrative overload. Talview is changing that with AI that actually works. We build GenAI-powered hiring and assessment platforms that make recruitment faster, fairer, and scalable. Our AI Products Alvy: The world s first AI Proctoring Agent for intelligent, scalable exam monitoring. Ivy: A conversational AI Interviewer enabling unbiased first-round assessments. Impact: 10M+ assessments delivered across 120+ countries for global enterprises. The Role We re seeking a Senior Frontend Engineer passionate about building fast, intuitive, and elegant user experiences. You will lead frontend initiatives, architect high-performance UI systems, and elevate engineering standards across the organization. This is ideal for engineers who thrive on technical leadership and solving complex UX challenges. What You ll Actually Do Lead & Mentor: Guide engineers, drive execution, and ensure top-tier UI quality. Architect Interfaces: Build scalable, high-performance, and accessible applications. Collaborate Deeply: Partner with Product, Design, and Backend teams to shape workflows. Performance & Accessibility: Optimize rendering and responsiveness while enforcing WCAG and ARIA guidelines. Engineering Standards: Maintain code quality through reviews, best practices, and improved CI/CD pipelines. You Might Be a Fit If... Required Qualifications: 4 6 years building modern frontend applications. Expert-level HTML, CSS, and JavaScript knowledge. Strong experience with React, React Hooks, Jest, and React Testing Library. Deep understanding of accessibility standards (WCAG, ARIA). Experience with Git, CI/CD pipelines, and modern build tools. Proven ability in mentoring or leading other engineers. Bonus Points For: Experience with Frontend performance optimization. Knowledge of Micro-frontend architecture or Design Systems. Hands-on experience with AI-assisted coding tools (Cursor, Windsurf, Codex, etc.). Our Culture: The 5Cs We live by Collaboration, Commitment, Credence (trust), Customer-centricity, and Candor. We work together, ship quality, and keep it real. What You Get Competitive compensation and the best hardware/software tools. Work-Life Balance: 5-day work week with flexibility. Perks: Fully stocked pantry, monthly team lunches, and annual offsites. Growth: Strong career acceleration in a fast-growing product company.

Job Title: Senior Product Engineer Location: Bengaluru, Karnataka, India Department: MathCompany India (Product Engineering) Experience: 4.5 to 7 years About TheMathCompany TheMathCompany (MathCo ) is a global Enterprise AI and Analytics company, empowering Fortune 500 and Global 2000 companies with custom-built AI products and platforms. We blend deep domain knowledge, analytics, and cutting-edge technology to solve real-world business challenges. Our proprietary platform NucliOS powers smart, scalable solutions, enabling rapid and sustainable transformation. Join our vibrant team of engineers, data scientists, and designers who are building transformative enterprise products that deliver 3x 5x ROI within their first year of launch. Role Overview As a Senior Product Engineer, you ll play a key role in developing, maintaining, and optimizing full-stack web applications. This is a hands-on role where you'll be responsible for designing both backend services and frontend interfaces, while ensuring high-quality, scalable, and secure performance. You ll collaborate cross-functionally with product managers, designers, and fellow engineers to deliver enterprise-grade software products. This is a great opportunity to contribute to impactful solutions while expanding your technical leadership in a high-growth, agile environment. Key Responsibilities Full Stack Development Design, build, and manage REST APIs, backend services, and deployment pipelines. Develop responsive UI components using modern JavaScript frameworks (e.g., React, Angular, Vue). Architect and manage application databases, handling data modeling, integration, and optimization. Implement secure authentication and authorization protocols (e.g., OAuth2, OIDC, SAML). Own the end-to-end development lifecycle from concept through to deployment and support. Product Development & Collaboration Partner with product managers and UI/UX designers to convert requirements into scalable technical solutions. Drive product performance and usability by identifying opportunities for optimization. Act as a key technical stakeholder, participating in product roadmap discussions and sprint planning. Code Quality & Testing Write clean, maintainable, and efficient code following SOLID principles and industry best practices. Conduct peer code reviews and mentor junior engineers. Develop and maintain unit tests, integration tests, and ensure comprehensive test coverage. Contribute to CI/CD pipelines and participate in deployment and infrastructure automation. Technical Skills Required 4.5 7 years of experience in full-stack product development. Strong programming in Python or Node.js (bonus: Rust/Go). Advanced front-end development with JavaScript, HTML, CSS, and frameworks like React, Vue, or Angular. Strong grasp of object-oriented design, SOLID principles, and modern design patterns. Experience designing and implementing relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases. Proficient in cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with infrastructure tools: Docker, Kubernetes, Terraform, CloudWatch. Comfortable using version control and project tools like GitHub, Azure DevOps, and JIRA. Soft Skills & Work Style Strong problem-solving mindset and high attention to detail. Effective collaborator and communicator, both within the engineering team and cross-functionally. Familiarity with Agile methodologies (SCRUM), sprint cycles, and backlog grooming. Ability to juggle multiple tasks and deliver under tight deadlines in a fast-paced environment. Work on innovative products delivering real ROI for Fortune 500 companies. Be part of a people-first culture that values transparency, curiosity, and collaboration. Accelerate your career in an organization that rewards initiative and impact. Get access to state-of-the-art tools, resources, and learning programs. Apply now and join us in redefining how enterprise software gets built!

Job Title: Senior AI Engineer Location: Bengaluru, Karnataka, India Department: GenAI Experience: 4.5 to 7 years Open Positions: 5 About the Role As a Senior AI Engineer, you will design, build, and maintain scalable AI solutions with a strong focus on Generative AI technologies such as large language models (LLMs), embeddings, and retrieval techniques. You will lead a team of AI engineers and collaborate with stakeholders to deliver impactful AI-driven products aligned with business goals. Your role includes mentoring, project planning, ensuring data quality, and driving continuous process improvements. Key Responsibilities Design, develop, and deploy scalable AI/ML solutions, specializing in advanced Generative AI (LLMs, embeddings, retrieval-augmented generation, prompt engineering). Lead, mentor, and develop a team of AI engineers in a collaborative, inclusive environment. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure projects align with overall business objectives and data strategies. Oversee data quality, integrity, and security in AI engineering projects. Build reusable frameworks to enhance the efficiency and scalability of AI systems. Manage client communications to translate requirements into technical outcomes. Identify skill gaps and create opportunities for professional development. Drive initiatives for improving data operations and AI delivery efficiency. Required Technical Skills 4.5 to 7 years of experience developing and deploying scalable AI/ML solutions. Strong expertise in data modeling, relational and NoSQL databases, software development lifecycle, unit testing, and functional programming. Proficient in designing and implementing advanced Generative AI solutions including LLMs, embeddings, retrieval techniques, and prompt engineering. Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems. Proficiency with Databricks workflows, including job and cluster management, and API usage. Solid understanding of data structures, algorithms, multiprocessing, and optimization techniques. Skilled in Python libraries such as Pandas, NumPy, FastAPI for data processing and API development. Expertise in SQL optimization and database schema design. Experience deploying AI models using Docker and Kubernetes. Familiarity with version control using GitHub. Hands-on experience with cloud platforms like Azure, AWS, or GCP for AI deployments. Optional experience with PySpark for data processing. Basic understanding of CI/CD pipelines and deployment best practices. Required Non-Technical Skills Strong problem-solving ability with financial impact awareness in both team management and solution delivery. Excellent verbal and written communication skills, comfortable interacting with mid-level client management. Ability to balance pragmatic solutions versus perfect outcomes and rally teams accordingly. Strong interpersonal skills including conflict resolution, empathy, negotiation, and active listening. Demonstrated leadership and mentorship capabilities. Self-motivated with a strong sense of ownership. Good to Have Familiarity with data visualization tools and techniques. Understanding of data security, privacy, governance, and compliance frameworks. Experience with graph databases and graph processing frameworks. Knowledge of data virtualization and federation methods. Skills in data profiling and data quality management. Education Bachelor s degree in Engineering, Computer Science, or a related field. Qualification : Bachelors degree in Engineering, Computer Science, or a related field.

Job Title: Senior Software Engineer Customer Solutions Location: Bengaluru, India Employment Type: Full-time Department: Engineering About Commure Commure is revolutionizing healthcare with AI-powered technologies designed to eliminate administrative overhead and give clinicians more time with patients. Our platform combines advanced LLM AI, RTLS, and workflow automation to streamline clinical operations, improve patient engagement, and enhance care delivery. We support 250,000+ clinicians across hundreds of care sites nationwide and we re just getting started. If you're passionate about building life-changing solutions in one of the world s most vital industries, now is the time to join. About the Role As a Senior Software Engineer on the Customer Solutions team, you ll be instrumental in building and customizing applications on top of our Patient Experience Platform to address client-specific needs. Your work will directly impact how healthcare providers interact with our technology and serve patients better. Key Responsibilities Translate business and client requirements into scalable, maintainable technical solutions. Design, develop, and integrate customized applications and services using our core platform. Collaborate with internal teams and customers to prioritize features and maintain a customer-focused development backlog. Build long-term client relationships through technical leadership and delivery excellence. Implement and maintain observability through logging, monitoring, and alerting systems. Apply SRE and DevOps practices to improve stability and incident response. Coordinate testing and quality assurance activities in collaboration with QA teams. Stay informed on healthcare tech trends and integrate innovations into the platform. Participate in client-facing meetings to advise on feasibility, risks, and technical trade-offs. Mentor junior engineers and contribute to a strong engineering culture. Required Qualifications Bachelor's or Master s degree in Computer Science, Engineering, or a related field. 3+ years of professional software development experience. Frontend: React, Next.js, TypeScript Backend: Python, Node.js Cloud: Proficiency in AWS, Azure, or GCP with experience in cloud-native architectures CI/CD: Familiarity with tools like GitHub Actions, Google Cloud Build, etc. Infrastructure: Experience with Docker, Kubernetes, and IaC principles Monitoring & Observability: Implemented logging, tracing, and alerting systems Production Support: Experience with on-call rotations and incident response Strong communication and collaboration skills with cross-functional teams Experience working directly with clients to deliver technical solutions Understanding of APIs, webhooks, and third-party system integrations in healthcare Preferred Skills Familiarity with HIPAA, FHIR, HL7, and other healthcare standards Understanding of data privacy, compliance, and security best practices Strong problem-solving abilities and adaptability in dynamic environments Experience in client support, customization, or professional services engineering is a plus Why You ll Love Working at Commure + Athelas Mission-Driven Work Help transform healthcare through meaningful technology. Elite Backing Backed by General Catalyst, Sequoia, Y Combinator, and more. Explosive Growth 500%+ YoY growth pre-merger and Series D funded. Competitive Benefits Flexible PTO, health insurance, parental leave, and more (location-specific). Be part of the future of healthcare. Join Commure and help build intelligent, scalable systems that truly matter. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or a related field.

Senior Software Engineer Google Ads Location: Bengaluru, Karnataka, India Company: Google Minimum Qualifications Bachelor s degree or equivalent practical experience. 5+ years of experience in software development using one or more programming languages. Strong understanding of data structures and algorithms. 3+ years of experience in testing, maintaining, or launching software products. 1+ year of experience in software design and architecture. Preferred Qualifications Master s degree or PhD in Computer Science or a related technical field. 1+ year of experience in a technical leadership role. Experience developing accessible technologies. About the Role Google s software engineers are at the core of building next-generation technologies that shape the way billions of users interact with information and each other. This role demands versatility, a strong grasp of core computer science concepts, and a readiness to solve challenges across the technology stack. As a Senior Software Engineer in the Google Ads team, you will work on products that power the open internet and connect advertisers with billions of users worldwide. You ll design and develop solutions across domains including search, display, shopping, travel, video advertising, and analytics. Your work will help businesses of all sizes from local startups to global enterprises achieve measurable results with trusted, impactful advertising tools. Key Responsibilities Design, develop, test, deploy, and maintain scalable software solutions. Write clean, efficient, and well-tested code for product or system development. Participate in and/or lead design and architecture reviews to assess and choose optimal technologies. Review code written by peers to ensure adherence to best practices regarding style, testability, and performance. Troubleshoot and resolve system or product issues through root cause analysis of hardware, network, or software components. Maintain and contribute to internal documentation and educational materials; adapt content based on user feedback and product changes. Qualification : Bachelors degree or equivalent practical experience.

Job Title: Lead Salesforce Engineer Location: Bangalore, India Job Type: Full-Time (Hybrid Work Model) Experience Level: 8+ Years About Eightfold: Eightfold AI is revolutionizing the way we think about skills, careers, and talent management. With over $410 million in funding and a valuation of over $2B, we are leading the industry with our AI-powered Talent Intelligence Platform. Our mission is to transform how organizations hire, develop, and retain talent, ultimately helping individuals transform their careers. Join a dynamic team of innovators and make a tangible impact on employment worldwide. Led by experts with backgrounds from Google, Facebook, and IIT, we re on a mission to redefine how talent is connected with opportunity. What You Will Do: As a Lead Salesforce Engineer, you will lead the design, development, and enhancement of Salesforce solutions, ensuring scalability and maintainability. You will be involved in both technical leadership and hands-on development, driving improvements while mentoring junior and senior developers. Key Responsibilities: Salesforce Solutions Design: Lead and architect the development of Salesforce solutions, including customizations, programming, and data migrations. Project Management: Participate in the planning and execution of Salesforce initiatives, leading the delivery of features, enhancements, and KTLO work items. Team Leadership: Mentor and guide a team of Salesforce developers, ensuring adherence to best practices and alignment with enterprise architecture. Code Reviews & Best Practices: Promote coding best practices, perform solution and code reviews, and ensure compliance with Salesforce best practices. Stakeholder Collaboration: Work closely with GTM systems, RevOps, and business teams to define and execute on Salesforce system enhancements. Technical Debt Management: Identify technical debt and propose design strategies to restructure or overcome existing limitations without compromising functionality. Agile/Scrum Methodologies: Use Agile practices to drive development, including sprint planning, standups, and retrospectives. Salesforce Development: Develop and deploy solutions using Apex, Visualforce, Lightning Web Components (LWC), Salesforce CPQ, Flows, and APIs. Salesforce Performance Optimization: Continuously monitor Salesforce performance, identifying areas for improvement and optimization. Knowledge Transfer & Post-Delivery Support: Coordinate post-delivery activities including support, documentation, and knowledge transfer. Proof of Concept: Lead the creation and demonstration of proof of concepts to address complex business needs. Cross-Functional Collaboration: Work with teams across departments to ensure effective integration and deployment of Salesforce solutions. Qualifications: Required Skills & Experience: 8+ years of experience in implementing Salesforce CRM capabilities, with strong expertise in Salesforce Sales Cloud, Service Cloud, CPQ, and Experience Cloud. Advanced proficiency in Salesforce development tools including Apex, JavaScript, VisualForce, LWC, SOQL, REST API, and Bulk API. Deep understanding of Salesforce architectures, data models, and best practices. Proficient in Salesforce deployment (Metadata API, ChangeSets, Version Control) and data governance (profiles, permission sets, data visibility). Expertise in middleware integration tools, data analysis, and ensuring data hygiene. Strong problem-solving skills with the ability to manage high-level software issues. Solid understanding of Salesforce security practices (e.g., profiles, permission sets, sharing settings). Familiarity with Agile/Scrum methodologies and experience with development cycles, including UAT and deployment. Strong verbal and written communication skills, including presentation skills. Bachelor s degree in Computer Science or related field. Good to Have: Salesforce Certifications (e.g., Salesforce Certified Platform Developer, Salesforce Certified Technical Architect). Exposure to middleware integration tools. Impactful Work: Play a key role in transforming the future of employment and talent management with AI. Growth Opportunity: Eightfold has received $410M in funding and boasts a $2B+ valuation, offering immense opportunities for career growth. Hybrid Work: Enjoy a flexible, hybrid work model that balances remote work with in-office collaboration twice a week in Bangalore or Noida. Inclusive Culture: We believe in equal opportunity and diversity in the workplace, welcoming individuals from all backgrounds. How to Apply: If you are an experienced Salesforce Engineer with a passion for solving complex business problems and leading innovative projects, apply today to join Eightfold AI s mission to reshape how talent and opportunity meet! Qualification : Bachelors degree in Computer Science or related field.

Job Title: Senior Software Engineer Backend Location: Bangalore, India Job Type: Full-Time | Hybrid Experience Required: 3 5 Years About Eightfold.ai At Eightfold.ai, we are on a mission to solve one of the most critical challenges of our time employment. We are building the world s first AI-powered Talent Intelligence Platform that helps organizations hire, develop, and retain a diverse and high-performing workforce. By leveraging deep-learning AI and data science, Eightfold is transforming how individuals and companies unlock potential and make career-defining decisions. We have raised $410M+ in funding and are backed by leading investors with a valuation of over $2 billion. If you re passionate about solving meaningful problems at scale, this is your opportunity to make a lasting impact. About the Role We are looking for a Senior Backend Engineer who thrives on solving complex system-level problems and building scalable backend platforms that serve thousands of global enterprise users. You ll be part of a highly motivated engineering team working on impactful products for large enterprises, governments, and nonprofits. What You ll Do Design and develop robust, scalable, and configurable backend applications and modules with a strong focus on performance and reusability. Contribute to distributed systems design, microservices architecture, and scalable API development. Collaborate cross-functionally with Product, Design, and Engineering to deliver feature-rich experiences. Work with AI-assisted development tools like GitHub Copilot and Cursor to boost development velocity. Engage in technical discussions, code reviews, and architectural planning to improve overall software quality. Prototype, test, and iterate on new ideas that push the boundaries of our product capabilities. 3 5 years of industry experience with a strong foundation in computer science fundamentals, data structures, and algorithms. Proven experience in backend application development and a passion for solving system design and scalability challenges. Strong problem-solving mindset and ownership of end-to-end product development. Exposure to cloud-based infrastructure (preferably AWS) is a plus. Curiosity to work on AI-driven applications and modern coding tools. Excellent collaboration and communication skills with a proactive attitude. Our Backend Tech Stack Languages: Python, SQL, Bash Frameworks & Libraries: Flask, TensorFlow Infrastructure & Tools: Docker, Ansible, Apache Spark, Solr Databases: MySQL, AWS Aurora, Redshift Cloud Services: AWS S3, CloudFormation, SNS, SQS Note: Experience with similar technologies is also welcome. Shape the future of work through cutting-edge AI products that solve real-world hiring challenges. Thrive in a high-impact, high-ownership culture built around innovation and autonomy. Work alongside world-class engineers, researchers, and product leaders. Competitive compensation, equity opportunities, and comprehensive health benefits. Hybrid work model: Return to the office 2x per week. Equal Opportunity Statement Eightfold.ai is an equal opportunity employer committed to building an inclusive and diverse workforce. We welcome applications from all backgrounds regardless of race, religion, gender, sexual orientation, or disability. Apply Now If you re a backend engineer who loves tackling hard problems, building scalable systems, and working in a mission-driven environment Eightfold wants to hear from you.

Software Engineer III - AI/ML, Platforms and Devices Company: Google Location: Bengaluru, Karnataka, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience in data structures or algorithms. 1 year of experience in one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred Qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience developing accessible technologies. About the Job Google's software engineers work on cutting-edge technologies that transform how billions of users connect, explore, and interact with information. Our products must handle data at a massive scale, far beyond web search. We seek engineers who bring innovative ideas from various fields, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), natural language processing (NLP), UI design, and mobile development. As a Software Engineer, you will work on training and optimizing complex machine learning (ML) models for the Tensor Processing Unit (TPU). By enabling models across diverse applications like camera, speech, Translate, TTS (Text-to-Speech), and others on Edge TPU, you will gain valuable experience in efficient model architectures, optimization techniques, and on-device machine learning at Google. You will also be responsible for managing project priorities, deadlines, and deliverables. Google's mission is to organize the world s information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, software, and hardware to create radically helpful experiences for users. We design and develop new technologies and hardware to make user interactions faster, more seamless, and powerful. Whether advancing form factors, improving interaction methods, or innovating new ways to capture and sense the world around us, our Devices & Services team is helping make people's lives better through technology. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation or educational content and adapt based on product updates and user feedback. Triage product or system issues, debug, track, and resolve by analyzing the source of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing. Qualification : Master's degree or PhD in Computer Science or a related technical field.

Software Engineer III - Machine Learning, Google One Company: Google Location: Bengaluru, Karnataka, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience with data structures or algorithms in either an academic or industry setting. Preferred Qualifications: Experience with Data Analytics, Privacy Data Handling, Privacy Design Document, and Mathematical Optimization. Understanding of Machine Learning (ML). Excellent software engineering and problem-solving skills through programming. Excellent communications skills. About the Job Google software engineers create next-generation technologies that transform how billions of users connect, explore, and interact with information. Our products must scale to handle vast amounts of data, and our work extends far beyond web search. We are looking for engineers with fresh ideas from a variety of areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), natural language processing (NLP), UI design, and mobile technologies. As a Software Engineer at Google, you will work on projects that are critical to Google s needs, with opportunities to switch teams and projects as our fast-paced business grows. We need engineers who are versatile, show leadership qualities, and are enthusiastic about taking on new problems across the full-stack to push technology forward. Google One (G1) is Google s membership service rooted in storage, offering access to premium features. Our team works across multiple product areas to personalize user experiences through Machine Learning. The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments such as desktop, mobile, and applications. These products provide enterprises, and ultimately end users, the ability to utilize and manage services at scale. We build innovative software products from apps to TVs, from laptops to phones that impact people s lives globally. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation or educational content and adapt based on product updates and user feedback. Triage product or system issues, debug, track, and resolve them by analyzing the source of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Senior Machine Learning Engineer Location: Bengaluru, India Company: Chevron Experience Required: 5 10 Years Department: AI/ML Engineering Work Mode: Hybrid / Global Operations Support About the Role Chevron is actively seeking a Senior Machine Learning Engineer to join our cutting-edge AI team. You will be responsible for designing, building, and optimizing advanced machine learning systems that power transformative applications in artificial intelligence. In this role, you will develop self-learning applications and refine AI systems using robust engineering, statistics, and software design practices. Key Responsibilities Study and transform data science prototypes into production-ready systems Design scalable and robust machine learning systems Research and implement modern ML algorithms and tools Develop ML applications based on business and technical requirements Select appropriate datasets, data pipelines, and data representation techniques Run experiments and evaluate results to fine-tune models Perform statistical analysis and ML performance optimization Train and retrain models as new data becomes available Extend and customize existing ML libraries and frameworks Stay up to date with the latest ML research and trends Required Qualifications 5 10 years of proven experience as a Machine Learning Engineer or in a similar role Hands-on experience with Azure Machine Learning and MLOps Strong skills in data structures, data modeling, and software architecture Deep knowledge of math, probability, statistics, and algorithm design Proficient in programming languages: Python, R Familiarity with ML frameworks and libraries such as Keras, PyTorch, scikit-learn Excellent analytical and problem-solving skills Strong communication and teamwork abilities Working Hours Chevron supports international teams. Work hours are scheduled to align with global collaboration: Work Days: Monday to Friday Shift Options: 8:00 AM 5:00 PM or 1:30 PM 10:30 PM IST Opportunity to work on impactful ML/AI solutions at enterprise scale Flexible work culture with global exposure Advanced tools, infrastructure, and data at your fingertips Professional growth in a forward-thinking, innovation-driven environment Equal Opportunity Statement Chevron is an equal opportunity employer and adheres to inclusive hiring practices. All qualified candidates will receive consideration without regard to race, gender, age, religion, nationality, sexual orientation, disability, or any other protected status. Chevron also participates in E-Verify as required by law in applicable jurisdictions. Apply Today

Executive Assistant | ThoughtWorks | Bangalore, India Location: Bangalore, India Employment Type: Full-time, Regular Industry: Information Technology About ThoughtWorks At ThoughtWorks, we are a dynamic and inclusive community of innovative professionals who are transforming technology consultancy. With over 30 years of impact, we help our clients solve complex business challenges with cutting-edge technology. If you are passionate about continuous learning and want to make a meaningful difference, join us and contribute to extraordinary work that pushes boundaries and accelerates digital transformation. Job Overview Key Responsibilities Calendar & Schedule Management: Take charge of managing multiple calendars, scheduling meetings, appointments, and travel arrangements for executives. Prioritize and balance tasks to keep everyone organized and on track. Meeting Coordination: Lead the process from pre-meeting prep to post-meeting follow-up. You ll organize and prepare for meetings, take minutes, distribute action items, handle logistics, and ensure seamless execution. Travel Arrangements: Be the go-to travel coordinator! Book flights, hotels, and other arrangements for the team. Manage travel budgets and handle all necessary travel documentation with precision. Expense Management: Process and track expense reports for multiple stakeholders, ensuring compliance with company policies and budgets. Task Prioritization: Manage multiple tasks simultaneously, ensuring deadlines are met and workflows are optimized. Job Qualifications Technical Skills: Experience: 4-6 years of experience working as an executive assistant to senior executives (D, V, and C-level). Organization & Time Management: Excellent organizational skills with the ability to manage multiple priorities, schedules, and travel logistics with efficiency. Communication Skills: Strong verbal and written communication skills with the ability to interact with internal and external stakeholders effectively. Proficiency in Office Tools: Expertise in office software and productivity tools such as Microsoft Office, Google Suite, and other collaboration platforms. Professional Skills: Discretion & Confidentiality: Ability to handle sensitive information with the utmost discretion and confidentiality. Flexibility & Adaptability: Adaptable to changing work hours and responsibilities as needed, maintaining a calm and solution-oriented approach. Expense & Budget Management: Ability to process and track expenses for multiple stakeholders while ensuring adherence to budgetary constraints. Problem-Solving & Decision Making: Strong interpersonal and problem-solving skills to manage various operational challenges. At ThoughtWorks, there s no one-size-fits-all career path. We balance autonomy with a culture that fosters professional development. With numerous interactive tools and development programs, you ll have ample opportunity to grow and enhance your career. We believe in helping each other be our best, and this commitment to continuous learning extends to every team member. Join us to thrive in a collaborative, dynamic, and innovative environment. At ThoughtWorks, we believe in pushing boundaries, continuously learning, and creating extraordinary impact together. We empower you to grow while contributing to the success of cutting-edge projects with global impact.

Position: Senior Data Scientist Location: Bangalore Employment Type: Full-time Experience Required: 5 to 7 years Purpose of the Position: The Senior Data Scientist will play a key role in designing, developing, and implementing machine learning models and algorithms to solve complex business problems. The role involves collaborating with data scientists, software engineers, and business stakeholders to deliver scalable, efficient machine learning solutions that drive innovation and improve business outcomes. Key Responsibilities: Model Development and Optimization: Develop, train, and optimize machine learning models to meet business objectives. Ensure models are accurate, efficient, and scalable. Data Pipeline and Infrastructure: Design and maintain robust data pipelines to support machine learning workflows. Ensure data quality and integrity throughout the data lifecycle. Deployment and Monitoring: Deploy machine learning models into production. Monitor model performance and implement improvements as needed. Collaboration and Communication: Work with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate complex technical concepts to non-technical stakeholders. Research and Innovation: Stay up to date with the latest advancements in machine learning and AI. Experiment with new techniques and technologies to enhance the organization's capabilities. Essential Skills: Machine Learning Frameworks: Experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Programming Languages: Strong skills in Python and R. Data Processing: Experience with tools like Pandas, NumPy, and Spark. Model Deployment: Experience with Docker, Kubernetes, MLflow, and FastAPI. Databases: Strong experience in databases like Snowflake, MongoDB, and Cosmo DB. Statistical Analysis: Strong foundation in statistics and probability. Model Management: Experience establishing model management, monitoring, support, and maintenance frameworks. ML Lifecycle: Experience setting up ML lifecycle processes and governance policies, as well as providing L0, L1, and L2 support. Desired Skills: Deep Learning: Familiarity with deep learning frameworks like TensorFlow or PyTorch. Natural Language Processing (NLP): Understanding of NLP techniques and applications. Cloud Computing: Experience with cloud platforms like AWS, Azure, or Google Cloud. Big Data Technologies: Knowledge of big data technologies such as Hive, Pig, or Cassandra. Software Engineering: Proficiency in software development and version control systems like Git. Qualifications: Education: Master's degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience: Over 5 years of experience in machine learning, with a proven track record of developing and deploying models. Certifications: Relevant certifications in machine learning or data science are a plus. Key Qualities: Analytical Thinking: Strong analytical and problem-solving skills. Communication: Excellent verbal and written communication skills. Team Player: Ability to work effectively in a collaborative team environment. Adaptability: Flexibility to adapt to changing business needs and technologies. Innovation: A proactive approach to exploring new ideas and technologies. Apply now to join our dynamic team and lead innovation through machine learning and AI! Qualification : Master's degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field.

Job Title: Senior Cloud Development Engineer Location: Bengaluru, Karnataka, India About Us: Cloud Software Group combines the capabilities of both Citrix and TIBCO, creating one of the world's largest cloud software providers, serving over 100 million users globally. By joining Cloud Software Group, you will make a significant impact, helping real people access the cloud-based products they rely on to get their work done from anywhere. Our team values passion for technology, the courage to take risks, and the empowerment of every individual to dream, learn, and build the future of work. This is an exciting time to bring your skills to the cloud and be a part of our evolving journey! About This Team: We are seeking a Senior Cloud Development Engineer to join our dynamic DaaS (Desktop as a Service) team. In this role, you'll work with cutting-edge cloud technologies to develop and maintain scalable, secure cloud services. You will be a key contributor to the Citrix DaaS Product Line, working alongside a talented team of engineers to build resilient microservices that power our customer-facing applications. Your work will directly influence the experience of customers and partners globally. Job Description: As a Senior Cloud Development Engineer, you will be responsible for: Back-End Development: Improve business logic, enhance existing features, and build new ones to support the Citrix DaaS product line. Collaboration: Work cross-functionally with teams to define, design, and ship new features that enhance the DaaS experience. Continuous Improvement: Research and evaluate new technologies to maximize development efficiency, with a focus on adopting Generative AI tools where applicable. Agile Methodology: Embrace agile practices such as Jira, SCRUM, SAFE, or Kanban to deliver high-quality products on time. Best Practices: Institute coding standards, including code reviews, integration testing, unit testing, logging, and instrumentation to ensure the robustness of the codebase. Troubleshooting: Understand and resolve field issues, performing root cause analysis and implementing preventive measures to improve performance and security in cloud environments. Required Experience/Skills: Bachelor's Degree (BE/BTech) in a technical field or equivalent work experience. 4+ years of relevant work experience in cloud development or software engineering. Strong understanding of computer science fundamentals, particularly algorithms and data structures. Excellent communication and collaboration skills to effectively discuss technical concepts with cross-functional teams. Strong problem-solving and troubleshooting abilities, with an emphasis on resolving performance and security issues in cloud environments. Preferred Qualifications: Development experience with .NET technologies such as C#. Scripting experience with languages such as Python or PowerShell. Familiarity with cloud computing technologies, including platforms like Microsoft Azure or Amazon EC2. Experience with Sumo Logic or Splunk for troubleshooting and monitoring in cloud environments. At Cloud Software Group, you're not just joining a company; you're becoming part of a team that values your contributions and encourages you to innovate. This is your chance to be a part of one of the largest cloud solution providers, working on cutting-edge technologies that impact millions of users globally. You ll have the opportunity to work in a fast-paced, collaborative environment where your skills are valued and developed. Equal Opportunity Employer: Cloud Software Group is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state, and local laws that prohibit employment discrimination. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, gender identity, sexual orientation, ethnicity, national origin, citizenship, religion, genetic carrier status, disability, pregnancy, childbirth, or any other protected classification. Qualification : Bachelor's Degree (BE/BTech) in a technical field or equivalent work experience.

Job Title: Principal Cloud Development Engineer Location: Bengaluru, India About Cloud Software Group: Cloud Software Group (CSG), home to Citrix and TIBCO, is one of the largest global providers of cloud-based technologies, empowering over 100 million users worldwide. As a Principal Cloud Development Engineer, you will play a pivotal role in shaping the future of Desktop-as-a-Service (DaaS) solutions helping deliver secure, scalable, and intelligent platforms that drive modern work experiences from anywhere. We re entering an era of accelerated innovation and transformation now is the perfect time to bring your technical leadership, cloud expertise, and mentorship mindset to the forefront. About This Team: The DaaS team at CSG is responsible for designing and building scalable and resilient cloud-native microservices that power Citrix s core virtualization offerings. This team collaborates across product, architecture, operations, and customer success groups to build next-gen capabilities on Azure, AWS, and other hybrid environments. Your Role and Responsibilities: As a Principal Cloud Development Engineer, you will be expected to: Lead design and architecture discussions for cloud-native solutions within the Citrix DaaS product line. Drive the development of scalable and secure backend features, with emphasis on business logic, cloud security, and performance. Mentor junior and senior engineers, guiding them in coding best practices, design decisions, and technical growth. Collaborate with Product Managers, UX Designers, Support, and Site Reliability Engineers to build customer-centric features and maintain high service uptime. Contribute to strategic technical initiatives, including the adoption of Gen AI tools, DevSecOps automation, and performance tuning of production systems. Participate in on-call escalation support, helping debug complex issues and lead incident resolution. Promote a culture of continuous learning and improvement through code reviews, technical sessions, and post-incident analysis. Required Experience and Skills: 14+ years of experience in cloud software development using .NET (C#), Java, or equivalent Object-Oriented Programming languages. Strong computer science fundamentals (algorithms, data structures, systems design). Proven track record in building and leading cloud-native microservices with modern deployment practices (CI/CD, IaC, Kubernetes, Docker). Strong cloud platform expertise, especially in Microsoft Azure or Amazon EC2. Deep understanding of cloud security, including identity/access management, encryption, compliance, and incident response. Advanced knowledge in automation scripting (Python, PowerShell). Familiarity with troubleshooting tools like Sumo Logic, Splunk, or equivalent observability platforms. Experience with Terraform, CI/CD pipelines, and managing Kubernetes-based deployments. Strong communication, collaboration, and mentoring abilities. Preferred Qualifications: Prior experience building secure services in the DaaS, VDI, or enterprise SaaS domain. Hands-on experience with Azure Active Directory, Microsoft AD, or other identity solutions. Moderate understanding of cryptographic protocols and encryption standards. Familiarity with Agile/SAFe development methodologies. Contributions to open-source or technical publications are a plus. Impact: Influence the architecture and direction of mission-critical cloud platforms used globally. Mentorship: Be a technical leader shaping the next generation of engineers. Innovation: Work with a company at the edge of a "Cambrian leap" in cloud evolution. Culture: Inclusive, forward-thinking, and driven by curiosity and collaboration. Flexibility & Benefits: Competitive salary, performance bonus, flexible work model, health insurance, wellness programs, and more. Equal Opportunity Statement: Cloud Software Group is committed to Equal Employment Opportunity and prohibits unlawful discrimination of any kind. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by law.

About the Job: Join a diverse team at Google dedicated to pushing boundaries and developing custom silicon solutions that power the future of Google s direct-to-consumer products. You will play a crucial role in shaping the next generation of hardware experiences that deliver unparalleled performance, efficiency, and integration across the globe. At Google, we combine the best of AI, software, and hardware to create innovative products that are loved by millions worldwide. Our mission is to organize the world s information and make it universally accessible and useful, and we aim to improve lives through cutting-edge technology. As a Senior Digital Design Verification Engineer, your expertise will contribute to the development of highly complex SoCs (System on Chips) and custom silicon solutions, ensuring they meet Google s high standards for performance and reliability. Responsibilities: Verification Planning & Design: Plan the verification of digital design blocks at the Sub-System level. Work closely with design engineers to fully understand the design specifications and identify important verification scenarios. Verification Environments: Create and enhance constrained-random verification environments using SystemVerilog and UVM (Universal Verification Methodology). You will also leverage formal verification tools and techniques, including SVA (SystemVerilog Assertions), for design validation. Debugging & Collaboration: Work closely with design engineers to debug and identify functional issues in design blocks, ensuring the delivery of functionally correct designs. Cross-functional Collaboration: Collaborate with architecture, design teams, software teams, and other stakeholders to define and execute the overall verification strategy for SoCs. Verification Ownership: Take ownership of functional verification for intellectual property (IP), serving as the primary point of contact for cross-functional teams to resolve issues and ensure a smooth integration process. Quality Assurance: Drive and contribute to the quality assurance process to ensure a high standard of verification and successful delivery of designs. Minimum Qualifications: Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field (or equivalent practical experience). 8 years of experience working with verification methodologies and languages such as UVM and SystemVerilog. Proven experience in developing and maintaining verification testbenches, test cases, and environments. Preferred Qualifications: Master s Degree in Electrical Engineering, Computer Science, or a related field (or equivalent practical experience). Experience with low power verification, debugging, Gate Level Simulation (GLS), and formal verification techniques. Track record in successfully leading design verification for IPs, delivering them to multiple SoCs. Proven experience in driving cross-functional teams to ensure quality tape-outs and navigating dependencies with various stakeholders. Strong expertise in driving or owning sub-system level verification and managing all associated complexities. Innovation at Scale: Contribute to building revolutionary hardware and software products used by millions of people across the world. Growth & Learning: Collaborate with world-class engineers and learn from experts in the field. Cutting-edge Technology: Work at the intersection of AI, software, and hardware to shape the future of computing. If you re passionate about digital design verification and eager to contribute to cutting-edge silicon solutions, we d love to hear from you. Join Google s mission to make people s lives better through technology! Google is an equal opportunity employer.

Job Title: Cloud-Based AI Developer - Advanced Analytics Group (AAG) Company: Bain & Company Job Type: Full-Time Employment Type: Permanent What Makes Us a Great Place to Work: We are proud to be consistently recognized as one of the world s best places to work, a champion of diversity, and a model of social responsibility. We are currently ranked #1 on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four for the last 13 years. Diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, creating an environment where you can thrive both professionally and personally. We are publicly recognized for being a great place to work for diversity and inclusion, women, LGBTQ, and parents. Who You ll Work With: As a member of Bain s Advanced Analytics Group (AAG), you will work alongside generalist consultants to help clients across industries solve their biggest problems using expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics, and data engineering. AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in tech, data science, marketing analytics, and academia. We are committed to building a diverse and inclusive team and encourage candidates of all backgrounds to apply. What You ll Do: As a member of the AAG, you will be responsible for designing, developing, and maintaining cloud-based AI applications that provide high-quality, scalable, and secure solutions for our clients. Your work will encompass the full stack, from API design to deployment, delivering analytics solutions across various sectors. Cloud-Based AI Development: Design, develop, and maintain cloud-based AI applications, ensuring scalability and security, leveraging full-stack technology solutions. Cross-Functional Collaboration: Work with product managers, data scientists, and other engineers to define and implement analytics features that meet business requirements. Cloud and Containerization: Use Kubernetes and containerization technologies to deploy, manage, and scale applications in cloud environments for optimal performance. API & Microservices Development: Develop and maintain APIs and microservices to expose analytics functionality, adhering to industry best practices for design and documentation. Security and Compliance: Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations. Troubleshooting and Performance Monitoring: Continuously monitor and troubleshoot application performance, resolving issues impacting system reliability and user experience. Code Reviews and Best Practices: Participate in code reviews and contribute to the establishment of coding standards to ensure high-quality, maintainable code. Emerging Trends and Technologies: Stay current with emerging trends in cloud computing, data analytics, and software engineering to enhance the platform s capabilities. Collaboration with DevOps: Work with DevOps and infrastructure teams to automate deployment and release processes, optimizing the development workflow. Client Collaboration: Collaborate closely with business consulting teams to assess opportunities and develop analytics solutions across sectors. Education and Influence: Influence and educate clients on analytics application engineering capabilities, supporting their teams directly. Travel: Expect occasional travel (30%) for project work. About You: Required Qualifications: Education: Master s degree in Computer Science, Engineering, or a related technical field. Experience: 3+ years of experience at Senior or Staff level, or equivalent. Expertise in client-side technologies such as React, Angular, Vue.js, HTML, and CSS. Experience with server-side technologies such as Django, Flask, and Fast API. Proficiency with cloud platforms (AWS, Azure, GCP) and Terraform automation (good to have). 3+ years of expertise in Python. Experience using Git for version control and collaboration. Familiarity with DevOps, CI/CD, and tools like GitHub Actions. Demonstrated interest in LLMs, prompt engineering, and Langchain. Experience with workflow orchestration tools such as dbt, Beam, Airflow, Luigi, Metaflow, Kubeflow, or similar. Experience in the implementation of large-scale structured or unstructured databases, as well as containerization technologies like Docker and Kubernetes. Skills and Knowledge: Strong interpersonal and communication skills to explain complex engineering topics to colleagues and clients from various disciplines. Curiosity, proactivity, and critical thinking. Solid computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and software architecture. Expertise in designing API interfaces and knowledge of data architecture and database schema design. Familiarity with agile development methodologies. Join Bain & Company: Become a part of a forward-thinking team committed to solving complex problems, building innovative solutions, and delivering impactful data analytics and AI solutions. Collaborate with talented professionals and gain valuable experience that shapes the future of data analytics and AI. Qualification : Masters degree in Computer Science, Engineering, or a related technical field.

Company Overview At Intuit, we re on a mission to power prosperity for people and communities around the globe. With products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, we serve over 100 million customers worldwide. Our goal is simple ensure everyone has the opportunity to thrive financially. We re constantly innovating, finding new ways to help people manage their finances better, and we need a passionate, skilled Full Stack Engineer to help us revolutionize the future of finance with AI-driven experiences. Job Title: Full Stack Engineer - AI Development At Intuit, our AI team is pushing the boundaries of what's possible in financial technology. We re building cutting-edge solutions that deliver personalized, proactive insights to millions of users. As a Full Stack Engineer on our team, you ll play a pivotal role in creating the infrastructure and applications that bring these AI innovations to life. This is a unique opportunity to work with the latest AI technologies while building impactful web applications for TurboTax, QuickBooks, and beyond. Responsibilities: Develop High-Performance Applications Design, develop, and deploy consumer-facing web applications that integrate seamlessly with our AI models and services. Ensure that applications are scalable, modular, and secure, delivering high-quality experiences to millions of users. Collaborate with Cross-Functional Teams Work closely with data scientists, machine learning engineers, and product managers to transform complex algorithms and data into intuitive, user-friendly interfaces. Contribute to the development of AI platforms and tools for model training, deployment, and monitoring. Backend System Design Build and maintain robust backend systems to support the AI-powered features across Intuit's portfolio. Take ownership of the end-to-end product lifecycle, including resolving defects/bugs and working on post-release patches. Champion Best Practices Promote best practices in software development, including thorough code reviews, unit testing, and documentation. Stay up-to-date with the latest trends in AI, web development, and cloud technologies. UI/UX & Prototypes Design and develop web, software, and mobile applications with a focus on accessibility, internationalization, and user experience. Contribute to the architecture and design of projects to ensure scalability and performance. Qualifications: Educational Background BS/MS in Computer Science or equivalent field. Technical Expertise 5+ years of experience in full-stack software development with a strong focus on JavaScript, HTML, CSS, and backend frameworks such as Node.js, Python/Django, or Java/Spring. Proficiency with modern web technologies and architectures such as React, Angular, Vue.js, and RESTful APIs. Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Familiarity with databases (SQL and NoSQL) and data pipelines. Programming & Frameworks Strong experience with Kotlin/Java and web technologies. 4+ years of experience with APIs (creating and consuming) using REST or GraphQL. Experience with UI frameworks like React, Angular, and JavaScript in a single-page architecture. Experience with unit testing and Test-Driven Development (TDD). Data Management & Systems Familiarity with Postgres, Data Lakes, Kafka, and schema modeling will be a plus. Solid foundation in writing scalable web applications that follow best practices in accessibility, internationalization, and instrumentation. Collaboration & Communication Strong communication skills with the ability to work effectively in a cross-functional team. Ability to contribute to both individual work and team-based projects in an Agile environment. Bonus Points: AI/ML Expertise Experience with machine learning frameworks like TensorFlow or PyTorch and AI/ML model deployment. Contributions to open-source projects related to AI or web development. Experience with data visualization tools and techniques to present AI insights effectively. Join Intuit and become part of a forward-thinking team that is shaping the future of financial technology. You ll have the opportunity to work on innovative AI-driven projects that have the potential to impact millions of people s financial lives. Here, your contributions matter, and you ll be empowered to build scalable, secure, and high-performance systems that drive true change. Qualification : BS/MS in computer science or equivalent

Minimum Qualifications: Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience. 3 years of experience with systems automation and tooling using Python, Go, or any other programming language. 3 years of experience in managing technical infrastructure (e.g., deployment, maintenance, troubleshooting). 3 years of experience in Linux Internals, Networking, and Systems administration. Preferred Qualifications: 6 years of experience in implementing, troubleshooting, and supporting computing systems. Experience with DevOps tools such as Terraform, Puppet, Ansible, Jenkins. Experience with cloud provider ecosystems of cloud service providers. Experience in supporting large-scale complex cloud-based infrastructure. Experience in one of the High Performance Computing (HPC) Schedulers such as LSF, Symphony, NC, or SLURM. Excellent investigative, problem-solving, and communication skills. About the Job: Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don t just write code to fix bugs but emphasize the development of tools and solutions that fix classes of problems. We know it s hard to control what you can t measure so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments, and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters. Google brings together people with a wide variety of backgrounds, experiences, and perspectives. We encourage them to collaborate, think big, and take risks in a blame-free environment. We promote self-direction to work on meaningful projects while striving to create an environment that provides the support and mentorship needed to learn and grow. Together we engineer and build the infrastructure, tools, access, and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter. In this role, you will be responsible for building and operating the underlying foundation infrastructure used for designing custom silicon. This includes compute platforms, CI/CD, Cloud, groups and Access Control Lists (ACLs), source control, dashboards, resource economy, and bench labs used by silicon engineers in their daily work. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities: Ensure the timely delivery of silicon designs using Google Cloud Platform (GCP) within a fluid environment. Monitor and uphold high standards for internal services on Google Cloud. Provide support, maintain, and deploy team-supported infrastructure and documentation. Collaborate closely with engineering teams to implement and develop on Google Cloud infrastructure. Automate tasks wherever needed. Qualification : Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.

About Ansys For over 50 years, Ansys has been at the forefront of innovation, enabling companies across industries to push boundaries through the predictive power of simulation. From sustainable transportation to life-saving medical devices, our solutions help bridge the gap between design and reality. At Ansys, we empower our employees to turn visionary ideas into reality. Join us and shape the future of simulation technology! Role Overview As a Senior R&D Engineer, you will join the SeaScape Research and Development team, working on cutting-edge semiconductor analysis software. You will contribute to the development of ANSYS RedHawk-SC, the industry s first EDA solution built on the SeaScape Elastic Compute Architecture, designed to handle massive datasets and distributed computing. This role requires strong C++ programming skills, problem-solving abilities, and a solid foundation in semiconductor design. Key Responsibilities Software Development & Optimization Design, develop, and optimize high-performance software for semiconductor analysis. Write efficient, scalable, maintainable, and robust code in C++. Implement unit, regression, and system-level tests to ensure high-quality code. Diagnose and fix complex software issues. Collaboration & Process Adherence Work closely with technical leads, engineers, and managers to refine and improve solutions. Learn and follow best practices in software engineering and semiconductor design. Communicate effectively within the team to ensure smooth collaboration. EDA & Semiconductor Analysis Develop expertise in IC Layout specification formats (Oasis, GDS). Work on parasitic extraction, gate/transistor-level design, and power analysis. Optimize EDA software for large-scale simulations and distributed computing. Required Qualifications & Skills Education & Experience: Bachelor s or Master s degree in Computer Science, Electrical/Electronics Engineering, or a related field. 4-6 years of experience in a product-based company. Technical Expertise: Proficiency in C++ for high-performance computing. Strong knowledge of data structures, algorithms, and debugging. Experience working with Linux operating systems. Basic understanding of IC layout specifications (Oasis, GDS). Familiarity with gate-level and transistor-level electronic design. Soft Skills: Ability to learn quickly and work in a fast-paced environment. Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Preferred Qualifications (Nice to Have) EDA & Semiconductor Analysis: Experience with parasitic extraction for advanced semiconductor nodes. Knowledge of transistor-level simulation and gate-level power analysis. Familiarity with IC physical design and RTL optimization. High-Performance Computing & Distributed Processing: Experience with distributed processing, debugging, and optimization. Knowledge of AI/ML, GPU architectures, CUDA, and vectorization libraries (Google Highway). Experience with high-bandwidth networking (InfiniBand). Software Development & Automation: Experience in commercial software development, build automation, and testing. Work on Industry-Leading Technology Build next-gen EDA and semiconductor simulation software. Career Growth Be part of an innovative, research-driven environment. Collaborate & Innovate Work alongside industry experts in high-performance computing & semiconductor analysis. Inclusive & Diverse Culture We believe diverse thinking leads to better outcomes. At Ansys, we commit to excellence, integrity, and innovation Together, we power the future of simulation. Apply Now & Be a Part of Ansys' Innovation Journey!