Description AI Cloud Team @Salesforce is looking for talented Senior Manager like you to to lead an exceptional engineering team in transforming the customer service landscape. Salesforce AI Cloud team brings the revolutionary AI technology to Salesforce CRM business at scale. The platform and application teams ( like Einstein Bots) under AI Cloud is looking for a Sr Manager to lead an exceptional engineering team to build and enhance the chatbots, ML models and services. You will leverage your experience in the areas of ML/NLP to help develop and refine our AI strategy and products like Einstein Bots, scaling the AI and ML services and ML Ops deployment pipelines while ensuring our stringent data privacy, security, residency, and compliance goals. Our mission is to deliver rich and compelling conversational experiences through multiple channels, enabling users to resolve issues faster and enhancing brand engagement and satisfaction. We're not just about development; we're about end-to-end ownership, directly improving customer experiences through a fast user feedback cycle. You'll be part of an industry-leading enterprise solution that leverages AI to automate customer service requests through friendly conversational interfaces, directly impacting millions of users worldwide.If you're passionate about AI, customer service experience, and making a real impact, the AI Cloud team is the place for you. Join us on this exciting journey of innovation and transformation. What You ll Do: Collaborate with Salesforce AI Cloud leaders to co-create and refine the AI strategy and roadmap. Drive the execution and delivery of features by collaborating with many multi-functional teams, architects, product owners and engineer. Lead the design, development and maintenance of high-quality and highly available AI/ML models, services and ML Ops deployments, chatbot solutions etc. Partner with Product Managers and Technical Program Managers to closely track progress across multiple work-streams while delivering goals for varying stakeholders. Prioritize retaining and attracting top talent, continuously invest in the development of high-performing teams, and passionately champion the success of both the team and its individual members. Be the service owner and ensure that our services are reliable and consistently available. Collaborate with cross-functional teams to ensure that high availability is a priority in all stages of development and deployment. Promote a culture of open communication and support within the team ensuring all voices are heard and the team is fostering a collaborative environment. Drive continuous improvement initiatives by identifying inefficiencies and developing solutions to enhance quality, reduce costs, and improve timelines. Daily management of stand-ups as the Scrum Master for engineering teams. Occasionally chipping in to development tasks such as coding and feature verifications to assist teams with release commitments, to gain an understanding of the deeply technical product as well as to keep your technical skill sharp Required Skills: A related technical degree required. 12+ years experience building, scaling and maintaining large scale, complex AI products and/or services in the B2B (or B2C) SaaS industry. This experience should include building and sustaining large-scale solutions that operate around the clock, 24/7. 5+ years of people management experience, with at least 3+ years in leading teams focused on AI/ML initiatives. Knowledge and understanding of SaaS, PaaS, IaaS industry with hands-on experience of public cloud offerings (AWS, GAE, Azure). Experience in SaaS incident management, handling customer escalations and proactively working with customer success teams. Knowledge of professional software engineering best practices including coding standards, code reviews, source code management, continuous integration, build processes, testing, and operations. Experience with agile development methodologies is a must, and ScrumMaster experience is highly preferred. Exceptional verbal and written communication skills, along with strong organizational and project management abilities, and the capacity to work effectively in a distributed team setting. Passionate about engineering productivity, service ownership and customer success. Ability to be nimble, proactive, comfortable working with minimal specifications. Preferred Skills: Strong knowledge of Salesforce product and platform features, capabilities, and best use of it. Experience with NLP techniques and tools for text analysis and processing. Experience with cutting-edge machine learning techniques such as reinforcement learning, GANs, and advanced neural network architectures. Expertise in generative AI technologies, including experience with models such as GPT, DALL-E, and other generative adversarial networks (GANs). A track record of publications in top-tier conferences or journals and/or patents in the field of machine learning or data science. Knowledge of best practices and regulations around data privacy and security, such as GDPR, HIPAA, or CCPA. Ability to work with multilingual data sets and develop models that can handle multiple languages. Qualification : A related technical degree required.

Position: Mechatronics & Big Data Scientist Developer Department: Research & Development Reporting To: General Manager Location: Bengaluru Key Responsibilities Machine Learning: Select features, build, and optimize classifiers using advanced machine learning techniques. Data Mining: Perform data mining using state-of-the-art methods to extract valuable insights from large datasets. Data Enhancement: Extend the company s datasets with third-party data sources when necessary to improve model accuracy and relevance. Data Collection & Processing: Improve data collection procedures to include all necessary information for building analytic systems. Data Cleansing & Integrity: Process, cleanse, and verify the integrity of data used for analysis to ensure reliable results. Ad-hoc Analysis: Perform ad-hoc analysis as needed, presenting the results in a clear, actionable manner. Anomaly Detection: Design and implement automated anomaly detection systems, tracking their performance over time to ensure accuracy. Behavioral Competencies Data-Driven: Strong inclination toward working with data and applying analytical thinking to solve complex problems. Detail-Oriented: Meticulous in data analysis and system development to ensure quality and precision in results. Skills and Expertise Machine Learning Algorithms Strong understanding of machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Data Science Tools Experience with common data science toolkits like R, Weka, NumPy, and MatLab. Proficiency in at least one (preferably NumPy or R) is highly desirable. Data Visualization Skilled in data visualization tools such as D3.js, GGplot, or similar. Database Management Experience with query languages such as SQL, Hive, Pig, NiFi, or others depending on the company s stack. Familiarity with NoSQL databases like InfluxDB, MongoDB, Cassandra, HBase. Statistical Analysis Strong applied statistics skills, including distributions, statistical testing, and regression analysis. Programming Skills Good scripting and programming skills in languages like PHP, Slim, SQL, and Laravel. Big Data Technologies Knowledge of Hadoop, HDFS, NiFi, and other big data platforms and technologies. Qualifications Essential: MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field. Experience: Minimum 2 years of hands-on experience in developing SDKs and working with Big Data platforms. Proven track record in machine learning, data mining, and data science projects. Qualification : MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field

Position: AGV Technical Specialist Department: Research & Development Reporting To: General Manager Location: Bengaluru Key Responsibilities AGV Design & Development Lead the design and development of AGV systems, including electrical, electronics, and navigation systems. Design, implement, and troubleshoot **line follower, inductive, RFID, and SLAM (LiDAR)** based navigation systems. Develop and apply communication protocols for **multi-AGV coordination**. Component Selection & Interface Select and interface **safety PLCs, standard PLCs, area scanners, servo motors**, and other AGV components. Hands-on experience with the programming and integration of various hardware components in AGV systems. AGV System Architecture Design and implement **multi-AGV architecture**, ensuring scalability and efficiency. Independently manage AGV platform functions such as **scheduling, health monitoring, and fault management**. Optimize the AGV platform to meet specifications and performance requirements while exploring innovative solutions for indigenization. Peripheral Equipment Integration Manage the integration of peripheral equipment with AGVs and ensure seamless communication. End-to-End Responsibility Oversee the complete AGV design and deployment lifecycle from the control perspective. Ensure the full transition from requirements design to commercial deployment, including coding, testing, and debugging system software. Review and validate new product designs and provide post-production support. Innovation & Documentation Apply innovative design thinking to develop and document AGV solutions. Create layouts, drawings, and implement designs through software or web portals. Prepare and review BOMs, wiring diagrams, and cost estimates for AGV solutions. Skills & Expertise Core Skills Vehicle control system design (essential). Proficiency in Python, C, C++ (essential). Expertise in vehicle-to-base station communication. Strong knowledge of vehicle odometer control. AGV-Specific Skills In-depth experience with **AGV navigation**, including **SLAM, LiDAR, RFID, and inductive systems**. Experience with **safety PLC, PLCs, area scanners, and servo motors** integration. Familiarity with AGV scheduling, fault management, and health monitoring systems. System Integration Expertise in integrating sensors and other vehicle components in AGVs. Familiarity with developing and deploying solutions in an **IIoT/Cloud platform** environment (good to know). Communication & Documentation Strong verbal and written communication skills for customer interaction and requirements gathering. Experience in creating **BOMs, wiring diagrams**, and supporting deployment efforts. Qualifications Essential: BE in Mechatronics, Computer Science, Mechanical Engineering, or equivalent. Experience: 5-6 years of experience in AGV design and development, with a strong understanding of vehicle controls, communication protocols, and multi-AGV systems. Qualification : BE in Mechatronics, Computer Science, Mechanical Engineering, or equivalent

Position: Graphic UI Developer Department: Research & Development Reporting To: General Manager Location: Bengaluru Key Responsibilities Design & Development Work closely with a team of developers to create **innovative and intuitive graphic designs** for applications, functions, and brand-relevant design. Utilize graphic design tools to demonstrate R&D projects and bring new design ideas to life. Lead a small team of two developers in building full-fledged application development experiences. Standardize design components across multiple projects and code them for test production and deployment. Design Thinking & Implementation Apply **design thinking** to conceptualize and transfer ideas into images, drawings, or designs for embedded systems. Develop, code, and implement designs into software systems for embedded devices. Manage the entire system lifecycle from requirements design to production and commercial deployment release. Testing & Optimization Design, develop, code, test, and debug system software. Review code and designs to ensure quality and compliance. Analyze and optimize system efficiency, stability, and scalability. Product Integration & Support Integrate and validate new product designs. Support software QA and optimize I/O performance. Provide post-production support and troubleshooting. Assess third-party and open-source software for integration potential. Behavioral Competencies Innovation: Strong ability to adapt innovative design thinking and transfer those ideas into visual and functional components. Team Leadership: Ability to lead a small team effectively while also being hands-on in the development process. Communication: Strong written and spoken communication skills, with the ability to clearly explain complex concepts and designs. Problem Solving: Proactive in identifying issues and solving them with creative, efficient solutions. Skills and Expertise Graphic Design Tools Expertise in **Photoshop, Adobe Illustrator**, or similar graphic design tools. (**Essential**) Programming & Development Strong knowledge of **C, C++ (OOPs concepts), HTML, CSS, and JavaScript**. (**Essential**) Familiarity with **QT, QML, PyQt**. (Good to know) Python programming experience is a plus. (Good to know) 3D Design & Animation Experience with 3D animation tools like **Unity3D, Blender**, etc. (Good to know) Storytelling & Storyboarding Ability to create compelling **storyboards and storytelling** for design concepts. (Good to know) Testing & POC Setup Proficiency in writing test code and setting up **proof-of-concept (POC)** designs with available lab resources. Qualifications Essential: Bachelor's degree in Arts, Mechanical Engineering, Computer Science, Graphics & Animation Design, or equivalent. Experience: 2-4 years of professional experience in **graphic design and development**. Hands-on experience in **UI/UX design**, coding, and the development of graphic-intensive applications. Qualification : Bachelor's degree in Arts, Mechanical Engineering, Computer Science, Graphics & Animation Design, or equivalent

Position: Embedded Software Developer Department: Research & Development Reporting To: General Manager Location: Bengaluru Key Responsibilities Embedded System Development Work with a team of developers to design, create, and implement **embedded systems and applications** for R&D projects, which will later be integrated into BFW machines. Develop embedded software from requirements gathering to production and commercial deployment. Assist an in-house team of embedded developers in the creation of **prototype boards, coding, and testing**. Demonstrate previous embedded projects, including examples and supporting audiovisual materials. Software Design & Implementation Design, develop, test, and debug **embedded system software**. Review and optimize code for efficiency, stability, and scalability. Analyze system resources and integrate new product designs into the system. Interface with hardware design and development teams to ensure seamless integration. Testing & Support Provide **post-production support** and assist in the debugging and troubleshooting of embedded systems. Support software **quality assurance (QA)** and optimize I/O performance for embedded systems. Third-Party Software Integration Assess and integrate **third-party and open-source software** solutions as needed for system functionality. Behavioral Competencies Component Selection: Ability to select appropriate components for embedded systems based on requirements. Communication: Strong written and verbal communication skills for documentation, team collaboration, and customer interaction. Problem Solving: Ability to work independently, troubleshoot issues, and optimize system performance. Skills and Expertise Core Programming Skills Proficient in **C, C++, and Python**. (**Must know**) Expertise in **QT and QML**. (**Must know**) Hardware Knowledge Experience with schematic design, PCB component placements, layouts, and artwork. (Good to know) Understanding of **EMC standards** and their application in hardware design. (Good to know) Microcontroller & Processor Expertise Working knowledge of **8, 16, and 32-bit microcontrollers**. (**Must know**) Experience with **32-bit and 64-bit microprocessors**, including ATOM, ARM, PIC, Atmel, etc. (**Must know**) Communication Protocols Proficient with communication protocols such as **RS232C, RS485, USB, TCP/IP, Modbus RTU/TCP, and shared memory (Redis)**. (**Must know**) POC & Testing Setup Proficient in creating **proof-of-concept (POC)** layouts and writing test code for available lab resources to validate designs. Qualifications Essential: Bachelor's degree in Mechanical Engineering, Computer Science, or related field (or equivalent). Experience: Minimum of **2 years of experience** working and developing embedded software for platforms. Proficiency in developing software and working with hardware in an embedded environment. Qualification : Bachelor's degree in Mechanical Engineering, Computer Science, or related field (or equivalent)

Principal Applied Scientist Location: Bangalore, Karnataka, India Employment Type: Full-Time Overview Join the Computational Advertising Team within the AI & Research organization at Microsoft. We are seeking a passionate Principal Applied Scientist with expertise in machine learning, deep learning, natural language processing, and optimization. The team works on some of the most exciting problems in machine learning, powering the search advertising ecosystem of Bing, which holds a 30% share of desktop search in the US and a significant presence worldwide. The Principal Applied Scientist will contribute to building large-scale machine learning systems that model user responses, ranking, and various other business applications. Your work will have direct business impact, collaborating with top-tier machine learning scientists and engineers to deliver innovative solutions. Key Responsibilities Design & Implement ML Algorithms: Develop, tune, and analyze complex algorithms for large datasets and real-time systems in the advertising ecosystem. Productionize Machine Learning Models: Focus on deploying machine learning models in large-scale production environments, ensuring high-quality and sustainable performance. Collaborate with Experts: Work closely with cross-functional teams of scientists and engineers to integrate advanced machine learning techniques into production systems. Research & Development: Contribute to ongoing research in machine learning, optimization, and information retrieval to advance the core technologies in search advertising. Mentorship & Thought Leadership: Share your expertise with the team, mentor junior scientists, and help shape the direction of research efforts within the team. Qualifications Required Qualifications: Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical Engineering, or related field AND 6+ years of relevant experience (e.g., statistics, predictive analytics, research), OR Master's degree in a related field AND 4+ years of relevant experience, OR Doctorate in a related field AND 3+ years of relevant experience, OR Equivalent experience in machine learning, research, or applied statistics. Additional Requirements: Strong understanding of probability, statistics, machine learning, A/B testing, and optimizing ML models for accuracy. Experience with distributed computing systems (e.g., Hadoop, Spark) for large-scale training and prediction with ML models. Hands-on experience implementing machine learning algorithms from research papers to production systems. Expertise in TensorFlow or PyTorch and deep learning models. Preferred Qualifications: Solid understanding of natural language processing (NLP), information retrieval, and optimization techniques. Experience working with large-scale, real-time systems and databases. Strong track record of delivering machine learning systems to production and optimizing them at scale. Microsoft s mission is to empower every person and organization on the planet to achieve more. At Microsoft, you ll have the opportunity to work with the brightest minds, contribute to cutting-edge AI advancements, and make a significant impact in a growing $100 billion global market. Employee Benefits Industry-leading healthcare coverage Generous paid time off and family leave policies Access to continuous learning and professional development resources Employee discounts and savings programs Opportunities to collaborate with the world s leading AI experts Global networking and community engagement opportunities Microsoft is an equal opportunity employer. We are committed to fostering an inclusive environment where all individuals are treated with respect, regardless of race, gender, religion, disability, or any other characteristic protected by law. Qualification : Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical Engineering, or related field AND 6+ years of relevant experience (e.g., statistics, predictive analytics, research), OR Master's degree in a related field AND 4+ years of relevant experience, OR Doctorate in a related field AND 3+ years of relevant experience, OR Equivalent experience in machine learning, research, or applied statistics.

Engineer, Principal/Manager - Machine Learning, AI Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced and visionary Principal AI/ML Engineer to lead research, development, and optimization of AI inference systems. This role involves developing high-performance AI models, optimizing deployments across various hardware platforms, and contributing to research in model compression, quantization, and hardware-aware optimization. Education & Experience PhD with 6+ years, Master's with 7+ years, or Bachelor's with 8+ years in Engineering, CS, or related field. 20+ years of experience in AI/ML development; 5+ years in inference optimization and debugging. Key Responsibilities Model Optimization & Quantization Optimize models using quantization (INT8, INT4, mixed precision), pruning, and knowledge distillation. Implement PTQ and QAT techniques for deployment. Experience with TensorRT, ONNX Runtime, OpenVINO, TVM. AI Hardware Acceleration & Deployment Target platforms: Hexagon DSP, CUDA GPUs, TPUs, NPUs, FPGAs, Habana Gaudi, Apple Neural Engine. Use Python APIs: cuDNN, XLA, MLIR for hardware acceleration. Benchmark and debug performance across platforms. AI Research & Innovation Research on efficient AI inference: model compression, low-bit precision, sparse computing. Explore architectures like Sparse Transformers, Mixture of Experts, Flash Attention. Publish in ML conferences: NeurIPS, ICML, CVPR; contribute to open-source projects. Technical Expertise Optimization of LLMs, LMMs, LVMs for inference. Deep Learning frameworks: TensorFlow, PyTorch, JAX, ONNX. Expert in CUDA, cuPy, Numba, TensorRT, ONNX Runtime, OpenVINO. Skilled in Python for scalable AI development. Experience with ML runtime delegates: TFLite, ONNX, Qualcomm AI Stack. Debugging: Netron, TensorBoard, PyTorch Profiler, Nsight, perf, Py-Spy. Cloud inference: AWS Inferentia, Azure ML, GCP AI Platform, Habana Gaudi. Hardware-aware optimization: oneDNN, ROCm, MLIR, SparseML. Contributions to open-source and research publications are a strong plus. Leadership & Collaboration Lead a team of engineers in Python-based AI inference and optimization. Collaborate with researchers, software engineers, DevOps, and hardware vendors. Define debugging, deployment, and performance tuning best practices.

Job Title: AWS / Azure Architect Job Overview: We are seeking a skilled and experienced AWS / Azure Architect to join our team. This individual will be responsible for transforming customer business requirements into innovative, scalable solutions based on Java and other open-source technologies. You will lead architecture discussions, oversee the implementation of solutions, and provide technical guidance to development teams to ensure successful project execution. Key Responsibilities: Solution Design & Architecture: Translate business requirements into cutting-edge, efficient technical solutions using Java and open-source technologies. Lead the architectural discussions and design the overall solution framework, ensuring it aligns with business goals. Define development structures, standards, and best practices for solution implementation. Implementation & Guidance: Take a hands-on approach in the implementation of solutions, providing technical direction to implementation teams. Design and implement Continuous Integration / Deployment (CI/CD) pipelines. Develop and maintain technical documentation to ensure clarity and knowledge sharing. Pre-Sales Support: Participate in Request for Proposals (RFPs) and Proof of Concept (PoC) / Proof of Value (PoV) creation. Present and communicate architectural solutions effectively to prospects and clients, building confidence in the proposed solutions. Research & Development: Stay updated on the latest technological advancements in Java, open-source technologies, cloud computing, and microservices. Share new insights with the team and continuously improve the organization's technical capabilities. Technical Skills & Experience Required: Cloud Infrastructure & Architecture: 10-12 years of experience in designing and delivering enterprise-level solutions, with a focus on Java/Python technologies. 5-6 years of hands-on experience in architecting solutions on AWS and/or Azure. Expertise in cloud architecture, including hybrid infrastructures, multi-zone/cluster setups, and disaster recovery design. Core Technical Knowledge: Strong understanding of cloud design principles, including scalability, resiliency, and high availability. Extensive experience with database systems (SQL & NoSQL) and microservices architectures. Knowledge of key technologies like Docker, Kubernetes, and containerization concepts. Software Engineering & Development: Proficient in data structures, algorithms, design patterns, and application design methodologies. Expertise in developing and deploying RESTful web services, with a focus on performance and security. Familiarity with Test-Driven Development (TDD) and Behavior-Driven Development (BDD) practices, using tools like JUnit and TestNG. Cloud-Specific Expertise: In-depth knowledge of cloud platforms (AWS / Azure), including infrastructure setup, services, networking, security policies, and Kubernetes (EKS). Experience in deploying enterprise-level applications on cloud platforms, managing production environments, and optimizing performance. Preferred Qualifications: Hands-on experience with cloud-native application architectures. Familiarity with CI/CD pipeline setup and automation tools. Strong problem-solving abilities and the capability to mentor and lead cross-functional teams. What We Offer: The opportunity to work on cutting-edge cloud solutions for enterprise clients. A collaborative and dynamic work environment. Opportunities for career growth and continuous learning in the cloud computing space.

Job Title: Data Scientist Location: Bengaluru Experience: 4+ Years About Linarc: Linarc is revolutionizing the construction industry. As the emerging leader in construction technology, we are redefining how projects are planned, executed, and delivered. Built for general contractors, construction managers, and trade partners, Linarc offers a next-generation platform that delivers unmatched collaboration, automation, and real-time intelligence to construction projects. Our mission is to eliminate inefficiencies, streamline workflows, and drive profitability, empowering teams to deliver projects faster, smarter, and with greater control. Join us in shaping the future of construction tech. If you thrive in a dynamic, fast-growing environment and want to make a significant impact, Linarc is the place for you. This is a full-time position based in Bengaluru. Roles and Responsibilities: Data Analysis & Modeling: Develop and implement machine learning models to address complex business problems. Build predictive models and algorithms to forecast customer behavior, product usage, and business outcomes. Conduct statistical analysis and hypothesis testing to uncover key insights and trends. Data Engineering & Processing: Clean, preprocess, and transform large-scale datasets from multiple sources. Design and optimize data pipelines for both real-time and batch processing. Business Insights & Reporting: Collaborate with business teams to define key performance indicators (KPIs). Develop dashboards and reports to effectively communicate findings and business performance. Present actionable insights and recommendations to stakeholders and leadership teams. Product Improvement: Partner with product managers to integrate data-driven insights into product features. Monitor model performance and continuously improve accuracy and scalability. Run A/B tests to evaluate the impact of product changes and optimize user experience. Research & Development: Stay updated with the latest developments in machine learning, artificial intelligence, and data science. Explore and implement new techniques and tools to drive innovative solutions and improve outcomes. Qualifications: Minimum Experience: 3 years of professional experience in Data Analytics, Data Science, AI, or Machine Learning. Technical Expertise: Deep analytical expertise in applying statistical solutions to business problems. Experience with exploratory data analysis of large datasets using tools like SQL, Hive, Spark, or similar. Proficiency in machine learning and deep learning tools such as Scikit-learn, TensorFlow, PyTorch, and familiarity with techniques like Neural Networks, Gradient Boosting, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines, Clustering, etc. Experience working with visualization tools such as Tableau and Power BI. Business & Innovation: Demonstrated ability to innovate solutions and solve business problems using data science techniques. Desirable Additional Experience: 4+ years of experience in data science or machine learning in a product-focused environment. Experience working with relational or document databases. Proficiency in C, Python, PyTorch, Java, JavaScript, Node.js, React.js, or Vue.js. Strong knowledge of hypothesis testing and regression analysis. Experience in a SaaS product environment. Educational Qualifications: Bachelor s/Master s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.

CPU Performance Engineer Company Arm Location Bengaluru Job Overview At Arm, we are building the Future of Computing. Achieving generational performance gains requires deep understanding of the core, microarchitecture, system-level details, and the workloads that run on them. We are seeking a highly motivated and skilled engineer to drive analysis, characterization, and deep understanding of complex infrastructure workloads. This is a versatile and high-visibility role requiring collaboration with global teams including hardware architects, software engineers, and toolchain experts. Your work will help shape the next-generation CPU microarchitecture through comprehensive workload performance analysis. Responsibilities Perform performance analysis and characterization of complex infrastructure workloads to identify software and microarchitectural improvements for next-generation processors/systems. Analyze CPU performance, power, and cost while identifying key technology challenges and opportunities for innovation. Collaborate with Arm architects to develop technologies that contribute to maintaining a best-in-class compute systems roadmap. Develop expertise in the competitive landscape and emerging technologies in areas such as infrastructure, computer vision, and machine learning. Required Skills and Experience Strong knowledge and experience in CPU architecture and microarchitecture, gained through development, research, or performance analysis/modeling/design. Ability to break down workload performance into insights spanning software (applications, toolchain, libraries) and CPU/system microarchitecture. Proven ability to work effectively both independently and as part of geographically distributed teams across multiple functional groups. Innovative mindset with a strong drive to explore new approaches, influence stakeholders through detailed investigation, and solve challenging technical problems. Bachelor s or Master s degree in Computer Science, Engineering, or a related field, with at least 10 years of experience in CPU or SoC performance analysis. Nice-To-Have Skills and Experience Experience in CPU performance analysis and/or modeling. Background in workload analysis, characterization, and/or optimization of open-source software. Understanding of CPU infrastructure architectures and system-level constraints. Hands-on experience with advanced CPU techniques such as branch prediction and prefetching. Comfort working with emerging technologies and staying current with research advancements. Track record of influencing product roadmaps and delivering innovative solutions through prototypes and empirical analysis. What Arm Offers Arm provides an exceptional collaborative environment, offering exciting challenges and career growth opportunities. If you are interested but feel you don t meet every requirement, we encourage you to apply we value diverse skills and innovative thinking! #LI-KR2 Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field, with at least 10 years of experience in CPU or SoC performance analysis.

About the Job Join us as a Generative AI Engineer, where you ll design and develop cutting-edge AI-powered solutions that redefine creativity and innovation. Your work will push the boundaries of what s possible in content generation, from text and images to audio and beyond. In this job, you will: Research & Development: Stay up-to-date with the latest advancements in generative AI and deep learning. Contribute to the development of novel models, exploring innovative algorithms and methodologies. Model Architecture: Design custom generative models using neural network architectures like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and others tailored for specific applications. Data Processing: Prepare and preprocess large-scale datasets for model training. Apply techniques like data augmentation, normalization, and transformation to improve performance. Training & Optimization: Train generative models using frameworks like TensorFlow and PyTorch, optimizing for efficiency, speed, and quality. Hyperparameter Tuning: Fine-tune models for optimal performance, balancing convergence speed, stability, and output diversity. Evaluation Metrics: Develop metrics to assess the quality, diversity, and novelty of generated content. Continuously iterate and improve models based on these metrics. Deployment: Work with software engineers to integrate generative models into production systems, ensuring scalability, reliability, and performance. Collaboration: Partner with data scientists, machine learning engineers, designers, and product managers to translate business requirements into generative AI solutions. Documentation: Document research, experiments, and codebase thoroughly for internal use and external stakeholders. Continuous Learning: Stay informed on emerging technologies, attend industry events, and contribute to ongoing innovation. Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Engineering, or related fields. Strong foundation in machine learning, deep learning, and neural networks. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Hands-on experience with generative models like GANs, VAEs, and their practical applications. Solid understanding of data preprocessing, feature extraction, and model evaluation. Experience training and optimizing neural networks on large-scale datasets. Familiarity with cloud computing and distributed systems (AWS, Azure, GCP) is a plus. Strong problem-solving skills and a creative mindset. Excellent communication and teamwork abilities. A portfolio of generative AI projects or publications is a strong advantage. About Gramener We create software that tells data stories. For example: We advised a global computer manufacturer to focus on order delivery time, increasing NPS by 18% and generating incremental revenue of >$50M. We helped a foundation predict mosquito release points, reducing the process time from 3 weeks to 2 hours in their mission to protect 100M lives from malaria over 5 years. We re good at what we do, which is why we re growing 40% year-over-year. We re looking for passionate innovators to help us scale further. First-hand experience with C-suite-focused business advisory in data & analytics. Opportunities to collaborate with data science experts, domain champions, and client teams, being part of transformative change. A chance to experiment, take risks, and solve meaningful problems. Supportive colleagues and a dynamic environment you ll love working in. Key Metrics for Success Solution quality and business value delivered to clients. Successful project deliveries. Customer satisfaction on engagements. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Engineering, or related fields.

Description Johnson & Johnson is currently seeking a RWD Data Scientist, to join our Data Science and Digital Health function Innovative Medicine Research & Development located in Hyderabad/ Bangalore, India. Remote work may be considered case-by-case and if approved by the Company. At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/ . The RWD Data Scientist, will work with real world data sets to identify cohorts using complex queries in order to inform site identification strategies, diversity planning, patient journeys and protocol optimization. Working with the Director, Global Data Science, Portfolio Management, you will use your deep RWD expertise and pharmaceutical industry knowledge to advance the use of real-world data to improve clinical trial productivity and efficiency. Major responsibilities include building complex cohort queries in SQL against multiple differently formatted databases. Building sophisticated and informative visualizations for study teams including heat maps, Sankey diagrams, and other charts. Major responsibilities include cohort creation, site list and diversity analysis, building visualizations for patient journeys and localization, and process automation for cohort creation. Responsibilities: Act as a hands-on cohort builder with SQL queries against targeting differently formatted data sets. Creating and integrating site lists with information about physicians, practice sites, patient counts, diversity, and other metrics used in site selection. Supporting the creation of diversity plans. Creation of RWD study dashboards Build visualizations for cohort such as heat maps, Sankey diagrams. Participate in project teams and collaborate working closely with data science, and clinical study teams to optimize queries and create desired output. Qualifications Master s degree in a quantitative field such as computer science, epidemiology (preferred), computational biology, statistics, or a related discipline. At least 3 years of relevant experience in healthcare or life sciences industry is required At least 3 years of relevant hands-on data science experience in an R&D environment, commercial, medical affairs, scientific affairs and/or is required Familiarity with medical coding (ICD-10, LOINC, SNOMED, NDC, etc.)_ Familiarity with large datasets, understanding of data analysis workflows, and/or knowledge of querying languages such as SQL is required. Handling of healthcare relevant datasets, such as EHR, insurance claims or registry data, is required. Proficient with one or more programming language such as Python (preferred), R, C++, or Java is required. Experience with visualization software/tools such as R, Spotfire, Tableau, etc. is preferred Strong problem-solving skills with a solution-oriented mindset Excellent communication, interpersonal, and written skills are required Qualification : Masters degree in a quantitative field such as computer science, epidemiology (preferred), computational biology, statistics, or a related discipline.

Job Title: Lead Analyst Market Research Location: Bangalore Employment Type: Full-Time Job Overview We are seeking a strategic and intellectually driven Lead Analyst to join our Sector Research team. In this role, you will lead deep-dive research into emerging global technology sectors, define scalable research frameworks, and produce high-impact insights. This position is ideal for professionals passionate about startups, emerging technologies, and becoming thought leaders in their sectors. Key Responsibilities Conduct in-depth research and develop deep domain expertise in assigned technology sectors such as SaaS, FinTech, HealthTech, Enterprise Applications, or ClimateTech. Design and implement structured research frameworks and data definitions for complex, evolving business models. Track and evaluate high-potential startups, technologies, and emerging global trends. Produce detailed sector landscapes, strategic reports, and research notes with actionable insights. Contribute to the development of scoring models and tagging frameworks to scale intelligence across platforms. Review and mentor the work of junior analysts to maintain quality, consistency, and research depth. Act as a sector-level thought partner and contribute to shaping the company s broader research direction. Graduates from top-tier institutions (IITs, NITs, BITS, IIMs) preferred. 4 8 years of experience in market research, consulting, venture capital/private equity, analytics, or strategy roles. Strong exposure to startups, emerging technologies, and sector-specific developments. Experience in secondary research, framework development, and report writing. Exceptional analytical, written, and verbal communication skills. Proven ability to work independently, define structure in ambiguity, and mentor cross-functional teams in a fast-paced environment. What You Can Expect at Tracxn Meritocracy-driven, candid, and transparent culture no internal politics. Work with intellectually curious and driven colleagues. Opportunity to design and implement research processes for accuracy, scalability, and impact. Continuous learning and mentorship in a high-growth environment. Clear, performance-based career progression with leadership visibility. Qualification : Graduates from top-tier institutions (IITs, NITs, BITS, IIMs) preferred

Research Engineer Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: 0-8 years Company: IBM Research India (IRL) Introduction: IBM Research is the innovation engine of IBM and is the largest industrial research organization in the world. With 12 labs across 6 continents and over 3200 researchers globally, we produce more patents daily than any other organization. At IBM Research India (IRL), we are shaping the future of computing in areas like AI, Hybrid Cloud, and Quantum Computing. Our work is at the forefront of breakthrough innovations in Foundation Models, AI systems, large-scale data engineering, and more. We are looking for top talent to join us in our exciting and dynamic projects, pushing the boundaries of innovation. As a Research Engineer, you will work on pioneering research and development in the most cutting-edge fields of AI and computing. Role Overview: The Research Engineer role at IBM India Research Lab (IRL) involves working on challenging, dynamic, and highly innovative projects in the fields of AI, machine learning, and data systems. Your responsibilities will span multiple areas including optimizing AI models for large-scale distributed systems, pre-training foundation models, and developing real-world use cases that leverage IBM s infrastructure and models. Key Responsibilities: Optimized Runtime Stacks for Foundation Models: Work on fine-tuning, inference serving, and large-scale data engineering for AI models. Focus on multi-stage tuning, reinforcement learning, inference-time compute, and preparing data for complex AI systems. Model Optimization Across Accelerators: Develop solutions to optimize models for multi-accelerator environments, particularly focusing on IBM s AIU accelerator. Work on compiler optimizations, specialized kernels, libraries, and tools to enhance model performance. Pre-training and Deployment of Foundation Models: Participate in pre-training language models and multi-modal foundation models. Work on distributed training procedures, model alignment, and creating pipelines for various tasks, including LLM-generated data pipelines. Research and Use Case Development: Develop and implement use cases that effectively leverage infrastructure and models to drive real-world value. Contribute to creating frameworks for human-data collection and deploying models on user-centric platforms. Required Education and Experience: Education: A Master s degree in Computer Science, AI, or related fields from a top institution. Experience: 0-8 years of experience working with modern ML techniques, including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, and inference optimizations. Technical Skills: Experience with big data platforms such as Ray and Spark. Experience with Pytorch FSDP and HuggingFace libraries. Proficiency in programming with Python or web development technologies. Mindset and Attitude: A growth mindset and pragmatic approach to problem-solving. Preferred Experience: Research Experience: Peer-reviewed research at top machine learning or systems conferences. Advanced Technical Skills: Experience working with pytorch.compile, CUDA, Triton kernels, GPU scheduling, and memory management. Open Source Contributions: Experience working within open-source communities, contributing to or developing open-source projects. Innovative Environment: Be at the forefront of technological innovation, working on cutting-edge projects in AI, quantum computing, and more. Global Impact: Work on projects that influence both academic research and commercial product development, making a global impact. Career Development: IBM offers abundant opportunities for learning and growth, with access to the latest technologies and research. Collaborative Culture: Work with a diverse team of world-class researchers and engineers in a collaborative, open-source-driven environment. Apply today and become a part of the team that s redefining innovation. Qualification : A Masters degree in Computer Science, AI, or related fields from a top institution.

The Principal Threat Research Engineer will identify, analyze, and mitigate evolving cyber threats by creating and maintaining effective threat detection signatures. This role requires deep expertise in understanding modern cyber threats, malware behavior, and signature writing for advanced threat detection technologies. You will work closely with cross-functional teams, such as threat intelligence, incident response, and security product development, to enhance the organization s defense capabilities and provide strategic insight into the threat landscape. Key Responsibilities: Signature Writing & Development: i) Design and develop accurate, high-quality signatures and detection rules for threat detection systems (IDS/IPS, AV, EDR). ii) Improve and update detection logic to adapt to the latest threats, exploits, and attack vectors. iii) Optimize detection signatures to minimize false positives and maximize detection efficiency across various security platforms. Threat Research & Analysis: i) Lead in-depth research into emerging cyber threats, malware, APT groups, and TTPs (Tactics, Techniques, and Procedures). ii) Analyze attack patterns, behavior, and malicious code to identify new detection opportunities. iii) Track and understand evolving threat landscapes, including new vulnerabilities, exploits, and attack campaigns. Collaborative Threat Intelligence: i) Collaborate with global threat intelligence teams to share threat research findings and develop a comprehensive understanding of adversarial behavior. ii) Maintain relationships with external threat-sharing communities and organizations to stay up-to-date on the latest threat information. iii) Support the security team in responding to active threats, providing detection strategies and remediation guidance. Detection Engineering & Optimization: i) Work closely with the detection engineering team to integrate custom and third-party signatures into existing detection platforms (SIEM, IDS/IPS, EDR). ii) Identify gaps in current detection methodologies and implement improved detection capabilities for advanced threats, such as zero-day exploits, fileless malware, and APT campaigns. iii) Conduct performance testing and tuning of signatures to ensure system stability and effectiveness under various network environments. Thought Leadership & Knowledge Sharing: i) Act as a subject matter expert on threat detection, signature development, and malware analysis for internal and external stakeholders. ii) Lead and mentor junior threat researchers and engineers by providing guidance, training, and technical expertise. iii) Create research reports, blogs, whitepapers, and presentations to communicate key research findings and trends to technical and non-technical audiences. Required Qualifications: Bachelor s or Master s degree in Computer Science, Cybersecurity, Information Security, or a related field. 8+ years of experience in cybersecurity, with a focus on threat research, signature development, or malware analysis. Proven experience in writing and optimizing signatures for IDS/IPS, antivirus, and endpoint detection and response (EDR) solutions. Deep knowledge of cyber threats, including malware, ransomware, phishing, and advanced persistent threats (APTs). Strong understanding of network protocols, system internals (Windows, Linux), and attack techniques such as fileless malware, obfuscation, and evasion. Proficiency with malware analysis tools (e.g., IDA Pro, Ghidra), network analysis tools (e.g., Wireshark, Zeek), and sandbox environments. Experience with signature formats such as YARA, Snort, Suricata, and regular expression-based detection logic. Familiarity with MITRE ATT&CK framework and how it maps to threat detection and signature development. Strong problem-solving and analytical skills, with an ability to think critically about threat detection and mitigation strategies. Excellent verbal and written communication skills, with the ability to convey complex threat intelligence and detection strategies to a diverse audience. Ability to work collaboratively across teams and mentor junior team members. Preferred Qualifications: Relevant cybersecurity certifications such as CISSP, GIAC, OSCP, or GREM. Expertise in scripting and automation (Python, PowerShell, Bash) to automate threat research and signature writing processes. Experience with cloud-based threat detection and response (e.g., AWS GuardDuty, Azure Sentinel). Familiarity with advanced hunting techniques, including threat hunting using logs, endpoint data, and network data. Employee Value Proposition (EVP): At Aryaka, we offer a dynamic and innovative work environment where you will have the opportunity to make a significant impact in the network security industry. Our commitment to cutting-edge technology and customer satisfaction provides a platform for continuous learning and professional growth. Qualification : Bachelors or Masters degree in Computer Science, Cybersecurity, Information Security, or a related field.

Job Title: Robotics Solution Engineer Location: Bengaluru Key Focus Areas: The ideal candidate will have experience and expertise in 40-60% of the following domains: Task Development: Breaking down complex robotic tasks (e.g., pick, orient, place) and designing efficient workflows. Simulation and Validation: Using advanced physics-based simulation tools to model and validate robotic systems and interactions. System Integration: Seamless integration of hardware, software, and sensors tailored to customer environments. Customer-Centric Solutions: Customizing robotic solutions to fit specific customer requirements and constraints. Foundational R&D and ML Development: Supporting research and machine learning algorithm development to enhance robotic perception, autonomy, and decision-making. Roles and Responsibilities: Physics-Based Simulation Development: Develop comprehensive physics-based models for robots, environments, and their interactions. Create and validate dynamic models involving rigid body dynamics, contact physics, material properties, and compliance, especially for multi-arm robotic systems. Build and maintain digital twins of physical robots and real-world environments. Algorithm Development & Implementation: Design, implement, and validate control and motion planning algorithms for multi-arm robots, focusing on manipulation and grasping. Optimize kinematics, dynamics, and force-based control strategies for real-time robotic applications. Support learning-based algorithm implementation for real-time perception and manipulation, including simulation-based testing and validation. Machine Learning Applications: Apply machine learning techniques to robotic perception and decision-making. Implement learning-based algorithms for perception and manipulation tasks. Testing, Validation & Optimization: Develop protocols to validate simulation accuracy by bridging virtual and real-world performance. Create automated test sequences and metrics for robust validation across various scenarios. Analyze simulation results to enhance system performance, safety, and reliability, suggesting design improvements. Collaboration & Cross-Functional Support: Work closely with controls engineers to validate and tune control systems in simulation. Collaborate with algorithm, software, and hardware teams to refine systems and resolve issues. Provide insights from simulation analyses to guide product improvements. Documentation & Reporting: Document simulation approaches, assumptions, and validation outcomes clearly. Prepare detailed reports on system performance, testing results, and optimization opportunities. Skills and Experience: Core Expertise: Advanced physics-based modeling and numerical simulation techniques. Deep understanding of robot kinematics, dynamics, and control theory. Experience with simulation validation and verification methodologies. Sensor modeling for cameras, force/torque sensors, etc. Motion planning algorithm knowledge. Familiarity with machine learning frameworks (PyTorch, TensorFlow) and real-time control implementation. Software & Tools: Experience with physics simulation platforms like NVIDIA Isaac Sim/Omniverse, CoppeliaSim, Mujoco, PyBullet, PhysX, Gazebo, or equivalents. Proficient in Python and C++ for scripting and automation tasks. Comfortable integrating CAD software and managing version control with Git. Engineering & Analysis: Skills in system dynamics modeling and error analysis. Developing test plans and performing root cause analysis. Conducting feasibility studies and model validation. Required Qualifications: Bachelor s or Master s degree in Robotics, Mechanical Engineering, or related fields. Minimum 3 years of professional experience in robotics engineering, with a focus on simulation and modeling. Strong foundation in robot kinematics, dynamics, and control systems. Proficient in Python and C++ programming. Experience with physics engines (PhysX, Bullet, PyBullet) and validating simulation results with real-world data. Preferred Qualifications: Master s or PhD in Robotics, Computer Science, or a related discipline. Hands-on experience with NVIDIA Isaac Sim/Omniverse or similar simulation platforms. Background in computer graphics, sensor modeling, and digital twin technologies. Qualification : Bachelors or Masters degree in Robotics, Mechanical Engineering, or related fields.

Inside Sales - Bangalore Location: Bangalore Role: Inside Sales Experience: 1 - 4 years Number of Positions: 2 Qualifications: MBA Job Description: Job Purpose: The purpose of this role is to maximize lead generation and progression of leads through the sales funnel, ultimately increasing revenue potential from marketing-driven and outbound programs. This role will require close collaboration with broader teams like demand generation marketing & pre-sales teams, and also sales colleagues in the field to support developing qualified opportunities and meeting monthly and quarterly targets. Responsibilities and Accountabilities: Experience with Software Product Selling or Solution Selling or Concept Selling. Engagement with business accounts focused on developing opportunities in the assigned geography. Experience managing the breadth of business development activities Research, Prospecting, Outreach, and effectively engaging with prospects. Utilize telephone and other tools to remotely influence customers at senior levels in target organizations. Follow-up on highly targeted marketing campaigns to deliver incremental High-Quality Leads and manage leads through to interested/potential opportunity status and ensure conversion to qualified status. Work with appropriate regional marketing managers and regional sales teams to plan and execute outbound demand generation activity as required. Ensure all activity is appropriately captured and tracked within the CRM and ensure that all prospect information is maintained and is up-to-date. Consistently follow designated sales and marketing processes to ensure robust lead and operational measurement and reporting. Work with regional marketing management to ensure integrity, validity, and appropriateness of the contact database. Develop and maintain strong knowledge of leading Digital Eco-Systems by reading industry and country-specific press and appropriate industry websites. Maintain a consistently high call rate aimed at achieving monthly and quarterly meeting and opportunity targets. Responsible and accountable for creating a healthy pipeline. Utilize social selling techniques using Social Media Platforms like LinkedIn, Twitter, Facebook, and Instagram, etc. Must be a go-getter who s willing to make the effort to get things done. Skills and Qualifications: MBA / University degree would be advantageous. Marketing or related fields preferred, but not mandatory. University graduates are welcome to apply. 1-2 years of tech industry experience preferred. Highly motivated and result-oriented with a can-do entrepreneurial spirit. High energy and determination to achieve/exceed monthly/quarterly targets. Proven communication & influencing skills using written and verbal communication, including telephone. Strong Presentation, communication, organization, multitasking, and time management skills. Qualification : MBA / University degree would be advantageous.

Job Title: Software Engineer Role Overview: The Software Engineer is responsible for the development, maintenance, and optimization of software solutions and applications. This role involves applying scientific methods to analyze and solve software engineering challenges while contributing to research, design, development, and long-term maintenance. The position requires independent problem-solving skills, technical leadership, and collaboration with team members and stakeholders. Key Responsibilities: Software Development & Engineering: Designs, develops, and maintains software applications using industry best practices. Applies scientific methods to analyze and resolve software engineering problems. Ensures software quality, performance, and security through testing and optimization. Technical Leadership & Innovation: Exercises original thought and judgment in solving complex technical challenges. Leads software development activities, mentoring junior engineers when required. Drives innovation by proposing and implementing cutting-edge solutions. Collaboration & Stakeholder Engagement: Works closely with internal and external stakeholders to understand project requirements. Provides expert advice and recommendations proactively. Explains complex technical concepts to a variety of audiences to ensure clarity. Project & Process Management: Acts as a key contributor in complex software development environments. Assesses and adapts to project challenges, formulating innovative solutions. Manages costs and ensures profitability for specific projects or work areas. Maintains compliance with best practices in software design, development, and documentation. Continuous Learning & Professional Growth: Builds expertise in software engineering disciplines to meet industry standards. Creates informal networks and fosters a knowledge-sharing culture within and outside the team. Motivates and inspires team members to achieve technical and commercial goals. Required Skills & Competencies: Strong understanding of programming concepts, software design, and development principles. Ability to work autonomously with minimal supervision. Experience leading software development teams in a complex environment. Excellent problem-solving skills with a proactive mindset. Strong communication skills, capable of conveying technical concepts to diverse audiences. Ability to work under pressure while maintaining high-quality standards. This role provides an exciting opportunity to contribute to innovative software solutions while leading and collaborating with cross-functional teams.

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!

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Global lead and member of the senior leadership team in Automated Driving engineering organization, responsible for developing and delivering Qualcomm Reference Platform (QRP) product from systems, software, safety, and deployment perspectives. In this role, you will lead OEM and Tier1 engagements from engineering perspective, partner closely with core engineering leads from different areas to build a competitive AD product, and drive the future needs based on customer feedback and global deployment experiences. 2+ years of working with operating budgets and/or project financials. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 10+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 9+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Engineering or related work experience. 4+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Principal Duties and Responsibilities: Leverages expert Systems knowledge and experience to implement and oversee the research, design, development, simulation, and/or validation of systems-level software, hardware, architecture, algorithms, and solutions while ensuring system-level requirements and standards are met. Oversees the functional analysis that drives requirements and specifications and defines and aligns with standards for hardware and software. Leads multiple teams in the analysis and development of system level design including requirements, interface definition, functional/performance definition, and implementation of a new system or modification of an existing system. Collaborates with high-level representatives from other functions internally (e.g., testing group, product group, customers) and externally to develop and execute system design. Creates overarching system strategy to direct work for multiple project teams; translates strategy into a strong execution plan. Develops and implements standards for the triage of problems at the system level; presents results of testing and debugging to internal and external stakeholders. Level of Responsibility: Decision-making is critical in nature and impacts program, product, or project success. Requires verbal and written communication skills to convey highly complex and/or detailed information. May require strong negotiation and influence with large groups or high-level constituents. Oversees budgets, schedules, and performance standards for multiple departments or functional areas. Has a great degree of influence over key organizational decisions (e.g., is making or directly making key decisions that will have substantial impact over the organization). Tasks often require multiple steps which can be performed in various orders; extensive planning, problem-solving, and prioritization must occur to complete the tasks effectively. Preferred Qualifications: Master's/PhD Degree in Engineering, Computer Science or related field. 15+ years of Systems Engineering or related work experience. 10+ years of experience in developing and leading AD/ADAS products 6+ years of experience working in a large matrixed organization. 6+ years of supervisory experience. 3+ years of work experience in a role requiring interaction with executive leadership (e.g., Vice President level and above). Qualification : Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 10+ years of Software Engineering or related work experience.ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 9+ years of Software Engineering or related work experience.ORPhD in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Engineering or related work experience.