Field Work Jobs in Bengaluru

Junior Engineer - Distributed Control Systems (DCS) Location: Bengaluru Experience: 0 - 2 Years Openings: 1 About the Role: As a Junior DCS Engineer, you'll report to the Assistant Manager Engineering Services. Your primary purpose will be to support the complete product lifecycle for DCS applications, focusing on software application development, hardware programming, and crucial commissioning and testing activities. This is a hands-on technical role ideal for someone looking to build their expertise in industrial automation, requiring both analytical skills and a readiness to travel. What You'll Do: HMI Graphic Development: Develop and design Human-Machine Interface (HMI) graphics for DCS systems, ensuring intuitive and effective user interfaces. DCS Software Development: Assist with and learn to develop and program software applications for Distributed Control Systems, with a focus on ABB 800xA. System Programming & Commissioning: Participate in the programming, commissioning, and testing of 800xA systems on-site, gaining practical experience in live environments. Project Lifecycle Support: Support the team across the entire project lifecycle, from initial software development through to final commissioning. Travel: Be prepared to travel to customer sites across India for commissioning activities as needed. What We're Looking For: Educational Qualification: A Bachelor's degree in Electrical and Electronics Engineering (EEE), Instrumentation, Electronics, or Electronics & Communication. Experience: Candidates with 0-2 years of experience in industrial automation, control systems, or relevant project work will be considered. Technical Skills: Good analytical skills to understand and troubleshoot system functionalities. An understanding of the complete project lifecycle from software development to commissioning, especially in ABB 800xA, is highly beneficial. Willingness to learn and grow in a technical environment. Software Proficiency: Strong knowledge of Microsoft Office, Excel, and PowerPoint. Communication: Strong communication skills in English for effective internal and external interactions. Physical Requirements: Must be physically fit and willing to travel to customer locations across all regions of India. If you're a recent graduate or early-career engineer with a passion for DCS systems and eager to launch your career in industrial automation, we encourage you to apply! Qualification : A Bachelor's degree in Electrical and Electronics Engineering (EEE), Instrumentation, Electronics, or Electronics & Communication

Job Title: Junior Accountant Location: Bangalore North, Karnataka, India Job Type: Full-Time Experience Required: 2 4 Years Industry: Entertainment / Mobile Gaming About Us We are one of India s most exciting and fast-growing mobile gaming companies. Since our founding in 2014, we have been shaping the global mobile gaming landscape in partnership with Modern Times Group (MTG). Our mission is to craft simple yet impactful casual games at massive scale. Our portfolio includes global hits such as Daily Themed Crossword, WordTrip, WordJam, WordWars, WordTrek, TileMatch, and Jigsaw. Position Summary We are seeking a Junior Accountant to support our finance team in executing day-to-day accounting operations and ensuring timely compliance with financial and regulatory standards. You will play a vital role in maintaining accurate financial records, facilitating monthly closures, and supporting internal controls. Key Responsibilities Perform daily accounting operations including general ledger maintenance, cash receipts, accounts payable/receivable, and revenue/expenditure analysis using Tally and Dynamics 365 Business Central. Track and account for fixed assets and ensure proper depreciation. Process monthly payouts accurately and on schedule. Record prepaid expenses and manage periodic adjustments. Ensure timely and accurate compliance with GST, TDS, and other applicable tax filings. Assist with monthly, quarterly, and year-end closings and financial reports. Support MIS reporting, including P&L statements, balance sheets, and related financial summaries. Coordinate with auditors and regulatory bodies as required. Requirements 2 4 years of proven work experience in accounting or finance. Proficiency in Tally ERP (latest version) and Dynamics 365 Business Central, especially in handling TDS and GST. Strong command of MS Office, especially Excel. Thorough knowledge of accounting principles, taxation (GST, TDS), and regulatory standards. Experience in Income Tax and GST filings and working with statutory reports. Ability to prepare monthly financial statements and MIS reports independently. High attention to detail, accuracy, and time management. Good communication and collaboration skills. Bachelor s degree in Finance, Accounting, or a related field. Work at one of India's top-performing mobile gaming companies. Join a talented team in a fast-paced, innovative environment. Gain exposure to world-class business operations and finance practices. Competitive benefits and growth opportunities. Qualification : Bachelors degree in Finance, Accounting, or a related field.

Competitive Technical Research Analyst Location: Bangalore, India Job Summary Rubrik is seeking a Competitive Technical Research Analyst to empower our sales teams with strategic competitive intelligence. You will be instrumental in maintaining internal collateral, developing battle cards, presentations, and delivering impactful sales training that highlights Rubrik s strengths against competitors. You will collaborate closely with sales, product marketing, and product management teams to provide up-to-date market insights and help Rubrik stay ahead in the data protection and cybersecurity space. Key Responsibilities Collaborate with Sales Enablement to develop sales tools such as cheat sheets, presentations, and training materials. Work alongside Field Enablement and Field Success teams to integrate competitive strategies into sales plays. Develop defensible, data-backed competitive analyses showcasing Rubrik s advantages over competitors. Provide quarterly competitive landscape reports through detailed data analysis and feedback. Deliver day-zero competitive intelligence support on new Rubrik product features and competitive feature sets. Produce in-depth documentation comparing Rubrik solutions with competing products for internal teams. Partner with Product Management and Marketing to create collateral supporting demand generation efforts. Required Qualifications 5+ years in a sales engineer, solution architect, or quota-carrying role within a field sales team. Experience with data protection solutions such as Cohesity DataProtect, Veeam Backup & Recovery, Dell EMC IDPA/DataProtect, Veritas NetBackup, or Commvault. Familiarity with protecting unstructured data from On-Prem NAS and Cloud Object Storage. Experience crafting technical presentations for sales and customer education. Solid understanding of cloud computing architectures and SaaS application protection focused on cyber resilience. Strong knowledge of customer pain points around data protection and cyber resilience. Excellent collaboration skills to drive projects across teams. Ability to analyze competitor products, strategies, and messaging effectively. Skill in translating technical features into compelling business value propositions. High energy and a speed of sales mindset to act with urgency and curiosity. Rubrik (NYSE: RBRK) is on a mission to secure the world s data. With Zero Trust Data Security , we help organizations build resilience against cyberattacks, insider threats, and operational disruptions. Our Security Cloud, powered by machine learning, protects data across enterprise, cloud, and SaaS applications ensuring data integrity, availability, and rapid recovery.

Machine Learning Engineer - Speech AI (ASR & TTS) Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai Sarvam.ai is a pioneering generative AI startup headquartered in Bengaluru, India. We specialize in leading transformative research and development in speech and language technologies. Focused on building state-of-the-art ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) models, particularly for Indic languages, we aim to redefine human-computer interaction with cutting-edge, AI-driven solutions. Join us as we push the boundaries of Speech AI to create inclusive, scalable, and intelligent voice-based applications for diverse communities worldwide. Role Overview We are seeking an experienced Machine Learning Engineer specializing in Speech AI (ASR & TTS). The ideal candidate will work on deep learning-based ASR and TTS models, improving accuracy, efficiency, and multilingual capabilities while deploying them at scale. The role involves developing and optimizing speech recognition and synthesis models with a focus on low-resource languages, real-time inference, and scalability. If you have a passion for speech processing and deep learning, this is a great opportunity to make a significant impact in a rapidly growing field. Key Responsibilities ASR (Automatic Speech Recognition) Develop, train, and optimize speech-to-text models using state-of-the-art architectures like Wav2Vec, Whisper, Conformer, and DeepSpeech. Implement techniques for low-latency ASR inference, including beam search, language model integration, and real-time transcription. Improve speech recognition accuracy for low-resource languages, especially Indic languages, using transfer learning and data augmentation. Optimize ASR pipelines for noise robustness, speaker adaptation, and domain-specific transcription. TTS (Text-to-Speech) Develop and fine-tune neural TTS models such as Tacotron, FastSpeech, VITS, or WaveNet for high-quality, natural-sounding speech synthesis. Implement multilingual and expressive TTS models with prosody and emotion control. Optimize TTS inference for deployment on edge devices, mobile, and cloud platforms. Improve speech synthesis quality through voice cloning, neural vocoders (HiFi-GAN, WaveGlow), and prosody modeling. General Speech AI Responsibilities Benchmark and profile ASR/TTS models to improve latency, efficiency, and deployment performance. Deploy scalable speech AI APIs on AWS, Azure, or GCP for real-world applications. Optimize ASR & TTS models for edge and offline inference. Stay updated with the latest advancements in speech AI, neural vocoders, and real-time inference techniques. Must-Have Qualifications Experience: 2-3 years of experience in speech AI, deep learning, or machine learning, with a focus on ASR & TTS. Education: Bachelor s or Master s degree in Computer Science, AI/ML, Speech Processing, or a related field. ML Frameworks: Proficiency in PyTorch or TensorFlow for training and deploying ASR/TTS models. ASR Expertise: Experience with speech-to-text architectures like Whisper, Wav2Vec, Conformer, or DeepSpeech. TTS Expertise: Experience with speech synthesis models like Tacotron, FastSpeech, or VITS. Speech Signal Processing: Understanding of MFCCs, STFT, phonemes, prosody modeling, and feature extraction. Inference Optimization: Hands-on experience with TensorRT, ONNX, or quantization (INT8, FP16) for ASR/TTS. Cloud & Edge Deployment: Experience deploying speech models on AWS, GCP, or Azure. Preferred Qualifications Experience with speech diarization, speaker recognition, or language modeling for ASR. Familiarity with zero-shot TTS, voice cloning, and multilingual speech modeling. Understanding of CUDA optimization and low-bit quantization for ASR/TTS models. Contributions to open-source speech AI projects or a strong GitHub portfolio showcasing relevant work. Experience with real-time streaming ASR/TTS applications and low-latency inference. Innovative Impact: Work on AI-driven speech solutions that are changing how people interact with technology, especially in low-resource languages. Cutting-Edge Technology: Contribute to the development of state-of-the-art speech AI models in a rapidly advancing field. Collaborative Environment: Work with a team of experts in AI, machine learning, and speech processing, in a startup culture. Growth Opportunities: Sarvam.ai offers exciting career growth in a fast-paced environment with opportunities for personal and professional development. Interested candidates are invited to submit their resume, cover letter, and any relevant project portfolios or GitHub links showcasing their experience in ASR, TTS, or Speech AI. Strong AI-related projects, whether in industry, research, or personal work, will be highly valued. Qualification : Bachelors or Masters degree in Computer Science, AI/ML, Speech Processing, or a related field.

Network Engineer Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited Job Overview Qualcomm is seeking a highly skilled Network Engineer to join our global network operations team. This role will involve working in 24x7 rotational shifts, supporting a heterogenous global network infrastructure. You will be responsible for supporting, maintaining, and optimizing networks consisting of routers, switches, data center networking gear, and load balancers. The ideal candidate will have experience with Cisco, Aruba, Arista, and Citrix NetScaler technologies, as well as a strong background in monitoring and observability tools like Datadog, Splunk, and CAPM. Key Responsibilities Support a global network infrastructure including routers, switches, data center networking gear, and load balancers. Respond to support requests and troubleshoot service problems or outages. Perform upgrades, new installations, enhancements, and configuration changes as required. Develop and maintain documentation related to networking and IT operations. Adhere to corporate change management policies and practices. Assist in the deployment of global networks and work collaboratively with virtual teams across different regions. Support enterprise-wide initiatives and localized solutions spanning multiple departments and functions. Work closely with other IT groups to gather requirements and present solutions to meet business objectives. Support a broad range of IT networking architectures and implementations. Minimum Qualifications 4 to 5 years of experience in core networking skills including LAN, WAN, Data Center, and Load balancers. Prior solid experience in handling L2 and L3 network issues. 3+ years of working experience configuring Cisco IOS and/or NX-OS network equipment. Experience with networking protocols such as OSPF, EIGRP, BGP, STP, QoS, vPC/MLAG/CLAG, VXLAN, and 802.1x. Proficient in TCP/IP operations and troubleshooting. Experience with individual, group, and vendor-assisted troubleshooting. Experience working in large scale IT operations and high-risk networks. Familiarity with Python and Ansible automation for networking. CCNP Certification. Good experience supporting and implementing campus and data center networks. Excellent communication skills, both verbal and written. Preferred Qualifications Experience with Ansible and/or Python automation for networking. Ability to work as part of a virtual global/regional team with cultural and language differences. Experience with Datadog, Splunk, and CAPM as monitoring/observability tools. Solid understanding of IT networking architectures and implementations. Minimum Education Requirements Bachelor s degree in a technical field such as Computer Engineering, Computer Science, or Information Systems. Alternatively, 1+ year of work experience related to Networked Systems with a Bachelor's degree in a non-technical field. Or, 3+ years of work experience related to Networked Systems without a Bachelor's degree. Physical Requirements Ability to frequently transport and install equipment up to 20 lbs. About Qualcomm Qualcomm is a global leader in mobile and telecommunications technology. Our solutions power a wide range of devices, from smartphones to IoT, and we are shaping the future of networking and communication. Join us to help build next-generation network infrastructure and work with innovative technologies! Apply now and become part of Qualcomm's next-generation network engineering team! Qualification : Bachelors degree in a technical field such as Computer Engineering, Computer Science, or Information Systems.

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.

Senior SAP FICO Consultant Job Description Castaliaz is looking for an experienced Senior SAP FICO (Finance and Controlling) Consultant to join our dynamic team. In this role, you will be responsible for implementing, configuring, and maintaining the SAP Financials and Controlling (FICO) modules, ensuring that they align with our clients' business needs. You will collaborate closely with clients to understand their requirements, offer expert guidance on SAP FICO best practices, and deliver high-quality solutions to optimize financial processes. Role and Responsibilities: Functional Expertise: Understand the functional requirements of accounting processes including General Ledger (GL), Accounts Receivable (AR), Accounts Payable (AP), banks, and fixed assets. Costing and Reporting: Knowledge of Product Costing and CO-PA (Profitability Analysis). Understand the basic CO reporting framework, cost allocation, and settlement cycles. SAP Process Flows: Deep understanding of the SAP process flow for FI, including master data setup and configuration. Cross-Module Integration: Proficient in various master data elements and configurations for FI, as well as cross-module integration with MM (Materials Management) and SD (Sales and Distribution). User Support: Address end-user issues related to day-to-day operations and provide effective solutions to ensure smooth operations. Business Blueprinting: Independently develop Business Blueprints for SAP FICO projects and user requirements, and conceptualize optimal solutions. Testing: Conduct unit testing and facilitate end-user testing to ensure all system configurations work as intended. Taxation Knowledge: Familiarity with India's taxation systems, including Excise, Service Tax, and TDS (Tax Deducted at Source). Revenue Recognition: Experience in handling revenue recognition processes. Special Tasks: Manage special tasks related to SAP FI and CO functionalities. SAP TRM: Exposure to SAP Treasury and Risk Management (TRM) is preferred. Education and Qualifications: Bachelor's Degree in Commerce or a related field. Preferred: MBA in Finance. Work Experience: 3+ years of relevant experience in SAP FICO implementations and support. Location: Bangalore (onsite) About Castaliaz: Castaliaz has been at the forefront of implementing SAP applications across SMEs and large enterprises for over a decade. We are recognized as one of the Top 10 SAP implementation partners in India. With expertise in a variety of SAP solutions, including SAP Cloud, Rise with SAP, S/4HANA, Fiori, Ariba, and Digital Compliance (GST, E-Invoicing, E-way Bill), we help businesses navigate the full lifecycle of SAP implementations and management. Our proven implementation approach has earned the trust and loyalty of our clients across India. Qualification : Bachelor's Degree in Commerce or a related field. Preferred: MBA in Finance.

Chief Analytics Office (CAO) - Data Scientist Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: 2-4 years Company: IBM Chief Analytics Office (CAO) Introduction: At IBM, we believe in the power of AI and data science to transform enterprises. In the Chief Analytics Office (CAO), we work on the front lines of AI-driven enterprise transformations. By joining our team, you will collaborate with innovative leaders and contribute to solving complex problems using the latest AI and machine learning technologies. Here, your skills will not only be valued but nurtured in a dynamic, collaborative environment designed for growth and impact. Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will play a critical role in driving AI and data science initiatives across the enterprise. You will use your technical expertise to develop and deploy machine learning models and data analytics solutions that align with business objectives. This role is focused on translating data insights into actionable recommendations and leading data science projects from concept to execution. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Assist in the implementation and optimization of AI-driven strategies aligned with business stakeholder requirements. Refine data-driven methodologies for enterprise transformation projects. Data Science and AI: Design, implement, and optimize machine learning solutions and statistical models. Perform end-to-end data analysis, from problem formulation through to deployment. Ensure the scalability of AI solutions by leveraging cloud platforms. Apply IBM s data science standards and reusable assets to ensure quality and consistency. Project Support: Lead and contribute across various stages of AI and data science projects, from data exploration to model development and deployment. Monitor project timelines and assist in resolving any technical challenges. Design and implement measurement frameworks to assess the business impact of AI solutions using KPIs. Collaboration: Work closely with stakeholders to ensure alignment with strategic goals. Collaborate with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Provide technical expertise to cross-functional teams, fostering a collaborative environment. Required Education and Experience: Education: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. An advanced degree is strongly preferred. Experience: 2-4 years of experience in data science, AI, or analytics, with a focus on implementing data-driven solutions. Experience with data cleaning, data analysis, A/B testing, and data visualization. Hands-on experience with AI technologies through coursework or projects. Required Technical Skills: Programming and Data Analysis: Proficiency in SQL and Python for data analysis and developing machine learning models. Familiarity with machine learning algorithms such as linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks (e.g., TensorFlow, PyTorch). Cloud Platforms & Data Processing: Experience with cloud-based platforms (e.g., AWS, Azure, IBM Cloud) and data processing frameworks. Specialized Knowledge: Knowledge of large language models (LLMs) and familiarity with IBM s WatsonX product suite. Familiarity with object-oriented programming (OOP) principles. Analytical and Soft Skills: Problem-Solving: Strong analytical skills with the ability to solve complex problems and derive actionable insights from datasets. Communication: Excellent communication skills to explain technical concepts clearly to stakeholders at various levels. Project Management: Ability to handle multiple initiatives simultaneously, prioritize effectively, and meet deadlines in a fast-paced environment. Preferred Experience: Advanced Degree: A Master s degree in a related field is strongly preferred. Impact: Work on innovative projects that directly impact enterprise transformation using the latest AI and data science techniques. Collaboration: Be part of a collaborative environment with a global team of AI experts. Growth: Develop professionally with continuous learning opportunities in the ever-evolving AI field. Work-Life Balance: IBM offers a dynamic work environment with flexibility and career growth opportunities. Apply now and join IBM's Chief Analytics Office as a Data Scientist and be part of the next generation of data-driven innovations. Qualification : A Masters degree in a related field is strongly preferred.

Job Title: Technical Support Specialist Location: Bengaluru Experience: 0-2 Years Job Overview We are looking for a passionate and customer-focused Technical Support Specialist who will provide high-quality support to our customers while ensuring their technical issues are resolved promptly. You will use your technical knowledge to analyze and troubleshoot software problems, collaborate with our Product and Engineering teams, and help improve the overall customer experience. This is a great opportunity for someone eager to develop their technical skills and grow in a fast-paced environment. Key Responsibilities Customer Support: Acknowledge customer concerns, empathize with their issues, and conduct a thorough analysis to offer effective solutions. When needed, ask follow-up questions to refine the diagnosis. Troubleshooting: Leverage your technical knowledge to efficiently troubleshoot software-related issues. Ensure that solutions are accurate and delivered in a timely manner, escalating to senior teams when deeper technical investigation is required. Collaboration: Work closely with Product and Engineering teams to relay customer feedback, and contribute to identifying and implementing new features and functionalities. Technical Communication: Clearly communicate technical details to both technical and non-technical audiences, ensuring all parties understand the issue and the solution. Continuous Learning: Stay up to date with the latest technology trends and new tools, keeping your problem-solving skills sharp. On-Call Support: Participate in an on-call rotation to provide support outside regular working hours as needed. Required Skills & Qualifications Technical Knowledge: Basic understanding of programming and scripting languages such as PHP, Java, Angular, and JavaScript. Operating Systems: Basic knowledge of Windows and Linux OS. Cloud Software: Familiarity with cloud-based software applications, including installation, administration, and troubleshooting. Error Log Analysis: Ability to analyze and interpret error logs for Java programs, Windows OS, and Linux OS. Database Administration: A general understanding of database administration concepts. Cloud Platforms: Exposure to cloud platforms like AWS, Microsoft Azure, or Google Cloud Platform (GCP) is a plus. Networking: Understanding of network fundamentals and the ability to analyze network traces. API Knowledge: Experience or familiarity with API design and development. Security: Understanding of how data is securely transmitted across the network. Communication & Soft Skills Clear Communication: Excellent verbal and written communication skills with the ability to convey complex technical information clearly to a wide range of users. Active Listening: Strong listening skills to effectively understand customer concerns and resolve issues efficiently. Patience and Empathy: Ability to show patience, empathy, and compassion, ensuring customer satisfaction. Fast-Paced Environment: Work in an energetic environment that promotes innovation and fast decision-making. Growth Opportunities: Enjoy accelerated growth, skill development, and rewards for your contributions. Collaborative Culture: Work with industry leaders and the best minds in the field. Flexible Work Hours: Benefit from a flexible work schedule that suits your lifestyle. If this role resonates with you, don t hesitate to apply! We offer plenty of room for growth and an exciting career at iSoftcells. Let s celebrate work and thrive together!

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.

Company Overview Intuit is a global leader in financial technology, powering prosperity for individuals and communities through innovative products like TurboTax, Credit Karma, QuickBooks, and Mailchimp. Serving over 100 million customers worldwide, we believe in providing everyone with the opportunity to thrive. Our goal is to continuously develop groundbreaking solutions to make financial success achievable for all. Job Overview Key Responsibilities Platform Development: Architect and develop web, mobile apps, prototypes, or proofs of concepts for the VEP platform that enable effective conversations between users and experts. Leadership: Lead a small team, guiding them to solve challenging design and programming problems. Serve as the technical subject matter expert and mentor fellow engineers. Coding and Design: Spend 40-60% of your time hands-on coding while also generating technical documentation, communicating design options to stakeholders, and conducting presentations to educate teams and business users. Collaborative Development: Work cross-functionally with product management, QA/QE, and business units to ensure timely results and effective implementation of features. Troubleshooting: Resolve defects and bugs during various stages, including QA testing, pre-production, production, and post-release patches. Agile Practices: Contribute to an Agile environment, helping to iterate and improve our products while maintaining a focus on quality and efficiency. Qualifications 8+ Years of Experience: Experience designing and developing software for web and mobile applications. Leadership Expertise: Strong experience leading teams, presenting, and providing cross-functional leadership to drive technical success. Technical Skills: Proficiency in Object-Oriented Programming (OOD) languages such as Java/J2EE, C#, VB.NET, Python, or C++. You should also be comfortable with the Software Development Life Cycle (SDLC). Web Services Experience: 3+ years of experience with web services (REST/SOAP). Testing Skills: Expertise in unit testing and Test Driven Development (TDD) practices. Strong Communication: Excellent ability to explain complex technical issues to both technical and non-technical stakeholders. Strategic Thinking: Ability to develop strategic plans and align with business objectives while building strong, effective teams. Education: BS/MS in Computer Science or a related field, or equivalent work experience. At Intuit, you'll work on cutting-edge technology and be part of a forward-thinking team, shaping the future of financial technology. If you re looking for an opportunity to lead innovative projects, develop transformative products, and work in a dynamic, collaborative environment, we invite you to apply! Join us at Intuit to make a real difference in the lives of millions! Qualification : BS/MS in computer science or equivalent work experience

MTS Dev Extension Engineer Description Hungry, Humble, Honest, with Heart. The Opportunity Nutanix is creating revolutionary technology, building the software-defined data center and helping customers move to a Hybrid-Cloud model. We're using our love of programming and outstanding backgrounds to change the way companies virtualize their data centers. At Nutanix, you'll find no shortage of challenging problems to work on. We work closely with our product in a collegiate, collaborative environment that encourages open exploration of ideas. The MTS Dev Extension Engineer will work on the Nutanix distributed system infrastructure. About the Team The Dev-Extension team ("DevEx" for short) at Nutanix is a 60+ person team located primarily in the US and India. This team plays a crucial role in maintaining a high NPS score by solving and root-causing challenging customer problems at a code level. Their successes are recognized company-wide, and they have been frequently acknowledged in multiple R&D All Hands meetings. What sets them apart is their deep commitment to sustaining engineering and their holistic approach to addressing customer issues efficiently. Your Role Work as part of the extended software development team on software features and bug triaging. Develop automation tools to identify bottlenecks, perform preliminary root cause analysis, and apply corrective actions. Engage with QA teams when needed to reproduce problems and perform in-depth root cause analysis. Develop a deep understanding of complex distributed systems. Manage internal escalations to the Engineering team in the Nutanix AOS Infrastructure and related areas. Program in a Linux environment to develop and maintain reliable, field-serviceable, and maintainable software components. What You Will Bring Passion for programming and strong proficiency in one or more programming languages: C++, Java, Python, Golang. Excellent analytical and problem-solving skills. Hands-on knowledge of OS concepts, networking, and storage systems. Genuine passion for troubleshooting complex distributed systems. Solid understanding of UNIX/Linux operating systems. Strong written and verbal communication skills, along with effective collaboration abilities. A team player who thrives in fast-paced, startup-like environments. Bachelor's degree in Computer Science or related field (industry experience is a plus). Work Arrangement Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with in-person collaboration. In most cases, this means being in the office at least 2-3 days per week. Some roles and teams may require more frequent in-office presence. Specific guidance and norms will be provided by your manager. Equal Opportunity Employer Nutanix is an Equal Employment Opportunity and (in the U.S.) an Affirmative Action employer. Qualified applicants are considered for employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, protected veteran status, disability status, or any other category protected by applicable law. We hire and promote individuals solely on the basis of qualifications for the job. We strive to foster an inclusive working environment that enables all Nutants to be themselves and do great work in a safe, welcoming environment free of discrimination, intimidation, or harassment. We also ensure that persons with disabilities are provided reasonable accommodations. Qualification : Bachelor's degree in Computer Science or related field (industry experience is a plus).

Software Engineer Power/Thermal Software Products Team Company Qualcomm India Private Limited Job Area Engineering Group > Software Engineering General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drive digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world-class products that meet and exceed customer needs. You will collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master s degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Languages such as C, C++, Java, Python, etc. Job Description Job Overview: The Power/Thermal Software Products Team at Qualcomm focuses on delivering industry-leading power, thermal, and limit software management solutions across Qualcomm s Mobile, Automotive, Compute, IoT, and AR/VR chipsets. In this role, you will work with cross-functional teams to: Identify power optimization and performance tuning opportunities. Perform thermal/limits hardware tuning, characterization, and risk assessment. Develop optimized solutions and mitigation strategies. Conduct system-level analysis of power/thermal use cases. Collaborate with Architecture, Hardware Design, Performance, Power/Thermal Systems, and various Software teams to create optimal system-level power/thermal software solutions. Develop tools and methodologies for competitive analysis to understand competitors strengths and weaknesses. Design and implement thermal mitigation schemes that are best in the industry. Preferred Qualifications 3+ years of experience with Programming Languages such as C, C++, Java, Python, etc. Strong systems/hardware background with a solid understanding of microprocessor architecture and common SoC hardware blocks (interconnects, display, graphics, etc.). Good understanding of operating system concepts including scheduling, memory management, process management, interrupt handling, and device drivers. Experience using debug tools such as JTAG debuggers, oscilloscopes, and logic analyzers. Experience developing power/thermal management software. In-depth knowledge of embedded systems, microcontrollers, SoC power, modems, multimedia, wireless communications, and system-level debugging/analysis for SoC power optimization. Equal Opportunity Employer Statement Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may email [email protected] or call Qualcomm s toll-free number found on their website. Upon request, reasonable accommodations will be provided to support individuals with disabilities during the hiring process. Qualcomm is also committed to ensuring its workplace is accessible to individuals with disabilities. (Please note that this email address is exclusively for accommodation requests. Qualcomm will not respond to requests for application status updates or resume inquiries via this email.) Recruitment Policy Qualcomm s Careers Site is only for individuals seeking employment directly with Qualcomm. Staffing and recruiting agencies, as well as candidates represented by agencies, are not authorized to use this site to submit profiles, applications, or resumes. Any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies and is not responsible for any associated fees. Compliance Notice Qualcomm employees are expected to comply with all applicable policies and procedures, including but not limited to security requirements and protection of company confidential and proprietary information, in line with applicable laws. Qualification : Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

Full-Stack Developer - Windows on Snapdragon Platform Team Company Qualcomm India Private Limited Job Area Engineering Group > Software Engineering General Summary Qualcomm Technologies Inc., the maker of the industry-leading Snapdragon SoCs, is the largest provider of complete chipset solutions for Microsoft Windows on Snapdragon products. Qualcomm is committed to developing solutions for the next generation of Windows on Snapdragon devices. The ideal software engineer will act as a key member of an Agile Scrum Team and play a pivotal role in the end-to-end lifecycle of all Windows-on-Snapdragon product lines. This role requires strong software development skills to act as a hands-on contributor responsible for gathering requirements, designing, and developing improvements to the Windows-on-Snapdragon continuous integration build systems, software release process, and developer operations tools. Strong communication and collaboration skills are essential, as this platform team works closely with internal and external teams to bring up, support, triage, and resolve issues on Qualcomm chipsets. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master s degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Languages such as C, C++, Java, Python, etc. Key Responsibilities Design, develop, test, and maintain web applications using Python and C#. Implement front-end interfaces using ASP.net, HTML, CSS, and JavaScript. Design and maintain SQL databases, writing efficient SQL queries. Develop and maintain automation scripts using PowerShell, CMD, and BAT. Work within version control systems such as Git and Perforce. Contribute to embedded Windows software development with solid programming skills. Apply strong understanding of Operating System concepts, both Windows and Linux. Participate in Windows and/or Linux kernel development activities. Preferred Qualifications 2-5 years of Software Engineering or related work experience. Proficiency in Python, C/C++/C#, SQL, and Shell Scripting. Strong communication and interpersonal skills. Effective problem-solving and debugging capabilities. Experience with Windows OS internals. Experience debugging device drivers using WinDbg, JTAG, or similar tools. Basic understanding of processor architecture and cache subsystems. Experience with PC software development (System BIOS, UEFI, ACPI, Drivers, Applications). Working knowledge of Jenkins and Artifactory. Hands-on experience with Windows program/driver development. Proficiency in Visual Studio as an integrated development environment. Exposure to ARM assembly. Basic understanding of Embedded OS (Kernel architecture, OS services, heap, memory management, multi-core processing, multi-threading, and crash debugging). Strong motivation and ability to learn quickly. Equal Opportunity Employer Statement Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may email [email protected] or call Qualcomm s toll-free number listed on their careers page. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities during the hiring process. (Please note: this email address is intended solely for accommodation requests. Qualcomm will not respond to requests for application status updates or resume inquiries through this contact.) Recruitment Policy Qualcomm s Careers Site is exclusively for individuals seeking employment directly with Qualcomm. Staffing agencies and third-party recruiters are not authorized to submit profiles, applications, or resumes via this site. Any such submissions will be considered unsolicited, and Qualcomm will not be responsible for any associated fees. Compliance Notice All Qualcomm employees must adhere to applicable company policies and procedures, including but not limited to those regarding security, confidentiality, and protection of proprietary information, in compliance with applicable laws.

Position: Sr. Network & Security Systems Engineer Location: Payoda, Global Regions Experience: 12 15 years of IT and business/industry work experience Education: Diploma with 10+ years or Bachelor's in Computer Science, Information Systems, or related field. Equivalent work experience considered. Shift: 24/7 Job Overview: The Sr. Network & Security Systems Engineer will design, implement, and support VMware NSX-based solutions requested by sales managers for various global clients. The role requires advanced technical expertise in NSX environments, strong troubleshooting skills, and experience with networking and security technologies. The candidate will collaborate with cross-functional teams and provide expert-level support to ensure stability and performance of NSX deployments. Key Responsibilities: Review customer High-Level Design (HLD) and Low-Level Design (LLD) documents and assess feasibility, risks, and constraints. Work closely with L1 teams to address global customer problems via virtual meetings. Create and maintain Method of Procedures (MOP) for planned activities and real-time problem resolution. Prepare Root Cause Analysis (RCA) reports and suggest workarounds by consulting OEM knowledge bases. Design hybrid and multi-cloud solutions for private and multi-cloud infrastructures. Prepare Bill of Quantity (BOQ) and Bill of Materials (BOM) by working with internal and external SMEs. Provide technical documentation, including IP schemas and technical specifications. Continuously monitor advancements in virtualization, networking, security, and cloud technologies. Train and support other team members to offload repetitive tasks and take on complex tasks with practice. Technical Skills and Responsibilities: Provide security and network support for physical networking and firewall services. Deliver and maintain network and security infrastructures using NSX/NSX-T. Implement networking and VXLAN technologies and improve network manageability and scalability. Monitor integration with other software-defined networking technologies. Maintain VMware vROps (ARIA) for capacity planning and troubleshooting. Automate network deployment and configuration with integration of compute and storage automation. Support operations and maintenance of VMware virtual infrastructure. Improve customized outlines using NSX, vRA (ARIA), and vRO (ARIA). Key Success Factors: Extensive knowledge of Cisco and VMware products and solutions. Hands-on experience with network diagram tools like Visio and Lucidchart. Ability to build High-Level Design documents independently. Strong understanding of Cisco Solution Life Cycle Prepare-Plan-Design-Implement-Operate-Optimize. Ability to lead technical workshops and explain solutions to non-SMEs. Knowledge of cloud providers like AWS, Azure, and GCP. Required Skills: NSX-T, NSX-T Edge, NSX Firewall, NSX Load Balancer VMware Cloud Foundation vCenter and ESXi vRealize Network Insight and Log Insight Automation scripting experience in Python, PowerShell, or equivalent Experience with Agile development methodologies Certifications: VMware Certified Professional (VCP) or Expert VCP-NV VCDX-NV VCP NV-Adv-Professional Join Us! We offer a collaborative environment, continuous learning opportunities, and a chance to work on advanced technologies. Let s celebrate work and grow together! Qualification : Diploma with 10+ years or Bachelor's in Computer Science, Information Systems, or related field. Equivalent work experience considered.

Experience: 4+ Years (Bachelor s) | 3+ Years (Master s) | 2+ Years (PhD) Company Overview As a leading technology innovator, Qualcomm pushes the boundaries of what s possible to enable next-generation experiences and drive digital transformation, helping to create a smarter, connected future for all. Qualcomm Hardware Engineers collaborate with cross-functional teams to plan, design, optimize, verify, and test cutting-edge products, enabling transformative solutions in the hardware space. Role Overview The SRAM Design Engineer will be responsible for the design, verification, and optimization of SRAM (Static Random-Access Memory) blocks for advanced process nodes. This role requires deep expertise in custom circuit design, low-power methodologies, and process technology trends. The ideal candidate will work on complex memory designs, collaborate with cross-disciplinary teams, and contribute to Qualcomm's next-generation hardware solutions. Key Responsibilities Design and develop SRAM circuits for advanced technology nodes (FinFET and beyond). Perform schematic design, simulation, and verification of memory circuits to meet performance, power, and area (PPA) targets. Optimize designs for low-power, high-speed, and high-density applications. Collaborate with layout engineers to ensure design compliance with foundry design rules and assist in layout optimization. Analyze and resolve design for manufacturing (DFM) and yield issues. Work closely with cross-functional teams (architecture, verification, and technology teams) to meet design specifications and performance requirements. Utilize SPICE simulations and other EDA tools to validate circuit functionality and robustness under process, voltage, and temperature (PVT) variations. Contribute to the post-silicon bring-up and debugging of memory-related issues. Qualifications Minimum Requirements: Bachelor s degree in Computer Science, Electrical/Electronics Engineering, or a related field and 4+ years of relevant work experience. OR Master s degree in Computer Science, Electrical/Electronics Engineering, or a related field and 3+ years of relevant work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, or a related field and 2+ years of relevant work experience. Technical Skills: Expertise in SRAM design, simulation, and verification. Strong knowledge of circuit design principles, including timing, noise, and power analysis. Experience with advanced process technologies (FinFET, 7nm, 5nm, 3nm). Proficiency with SPICE-based simulators and EDA tools for circuit analysis. Understanding of memory architecture, power management techniques, and design for yield (DFY) methodologies. Familiarity with DFM practices, chip integration, and physical design constraints. Preferred Qualifications: Experience in low-power SRAM design and assist circuits (read/write assist). Knowledge of self-repairing memories and redundancy schemes. Exposure to silicon validation, post-silicon debug, and memory characterization. Excellent problem-solving and communication skills.

Job Overview As a Tools Support & Infrastructure Engineer at Qualcomm, you'll play a vital role in supporting and enhancing the design flows and infrastructure for Qualcomm's Digital Signal Processing (DSP) team. The DSP design team delivers high-performance DSP cores that are integral to Qualcomm's multi-tier SoC roadmap, particularly for mobile applications. This position involves managing DSP design databases, developing automation tools to streamline the verification process, and collaborating with global teams to optimize design efficiency and quality. Key Responsibilities Manage DSP Design Database: Oversee the DSP design database, supporting design and verification teams with infrastructure needs. Build Automation: Create new automation tools to enhance the productivity of design verification teams, making it easier to debug simulation failures. Collaborate with Global Teams: Work with Qualcomm s global DSP design teams (architecture, implementation, post-silicon, and back-end teams) to enhance DSP IP infrastructure. Improve Tool Methodologies: Design and deploy new tool methodologies to continuously improve the quality, efficiency, and effectiveness of design and verification processes. Support Design Flows: Contribute to and improve design flows, ensuring the seamless integration of tools and resources used by design teams. Minimum Qualifications Educational Requirements: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, or related field with 6+ years of relevant work experience, or Master's degree in Computer Science, Electrical/Electronics Engineering, or related field with 5+ years of relevant work experience, or PhD in Computer Science, Electrical/Electronics Engineering, or related field with 4+ years of relevant work experience. Skills & Experience Programming & Tools Support: 3-10 years of experience in programming, database management, and providing tools support for complex DSP IP designs. Automation Expertise: Extensive experience in building automation tools that improve design and verification processes. Programming Languages: Expertise in C++ and Java. Scripting & Automation: Proficiency with scripting languages and tools such as Perl, Python, Shell, Makefiles, and TCI. Analytical Skills: Strong analytic, programming, and debugging abilities. Object-Oriented Programming (OOP): Deep understanding of OOP concepts. Web Programming: Familiarity with Java for web programming is a plus. Unix Environment: Solid understanding of the Unix environment. Digital Design Flows: Knowledge of digital design flows is a plus. Communication: Excellent interpersonal and communication skills, with the ability to work collaboratively with global teams.

Job Overview As a Hardware Engineer at Qualcomm, you'll be part of a dynamic team that plans, designs, optimizes, verifies, and tests cutting-edge electronic systems, including circuits, mechanical systems, digital/analog/RF/optical systems, and more. Your role will focus on SerDes PHY Analog Design, specifically within the BDC SerDes Mixed-Signal Design team. This team is directly involved in delivering next-generation custom PHY designs for SoCs (System on Chips), with a key focus on low-power analog designs to support Qualcomm s wireless products. You ll work with cross-functional teams to meet performance requirements and help bring innovative products to market. Key Responsibilities Analog Circuit Design: Hands-on experience in analog circuit design, working on multiple analog building blocks, including LDO, high-speed TX and RX (Equalizer, Sampler, PI, Deserializer), Bias, and Reference circuits. PLL and Frequency Synthesis: Design and implement Analog and Digital PLLs for frequency synthesis and SerDes applications, including Charge Pumps, Loop Filters, VCO/DCO, PFD/TDC, and high-speed dividers. PLL Loop Dynamics: Model PLL Loop Dynamics, including sources of Jitter (RJ & DJ). Schematic to Post-Layout Verification: Take designs from initial schematic to post-layout verification, and ensure integration sign-off for post-silicon bring-up. Collaboration: Work closely with RTL, DD, PD, DV, and SoC Verification teams to integrate the PHY into SoCs. Minimum Qualifications Educational Background: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field, with 3+ years of relevant work experience, or Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field, with 2+ years of relevant work experience, or PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field, with 1+ year of relevant work experience. Skills & Experience Analog Circuit Design: Hands-on experience with designing analog building blocks such as LDO, high-speed TX/RX, bias, and reference circuits. PLL Design: Strong background in Analog and Digital PLLs for frequency synthesis and SerDes applications. Charge Pump and VCO/DCO: Experience in designing charge pumps, loop filters, VCO/DCO, PFD/TDC, and high-speed dividers. Jitter and PLL Loop Dynamics: In-depth understanding of PLL loop dynamics, jitter modeling, and frequency synthesis for SerDes systems. Design Verification: Experience in taking designs from schematic through post-layout verification, integration, and post-silicon bring-up. Team Collaboration: Ability to work with cross-functional teams such as RTL, DD, PD, DV, and SoC verification teams to ensure smooth integration.

General Summary: Join the Qualcomm AI Systems Solution CoE (Center of Excellence) team to develop cutting-edge products and solutions leveraging Qualcomm s high-performance inference accelerators for cloud, edge, and hybrid AI applications. This role focuses on designing and delivering AI/ML system software solutions for diverse industries, including automotive, cloud, and industrial IoT. You will work on optimizing ML models (including GenAI, LLMs, LVMs, and LMMs) for deployment across a variety of devices, including phones, AI PCs, and edge appliances. This is your opportunity to contribute to Qualcomm s energy-efficient AI compute systems and collaborate with cross-functional teams to develop solutions that exceed industry standards. Key Responsibilities: Develop system solutions for AI/ML requirements, including model optimization, inference graph tuning, and scalable deployment across various devices. Work with deep learning frameworks like PyTorch, TensorFlow, and ONNX. Optimize AI/ML models using techniques such as quantization, pruning, and compression. Define and evaluate performance and accuracy metrics for neural network models, including CV, NLP, and multi-modal architectures. Collaborate across functional teams to ensure scalable, efficient deployments on inference accelerators and edge devices. Monitor and analyze industry trends and competitor toolchains to innovate and enhance system solutions. Develop and debug high-quality software in Python and C++, leveraging object-oriented design principles. Lead projects to improve toolchains and develop innovative product features. Required Skills and Experience: Hands-on experience with deep learning frameworks: PyTorch, TensorFlow, and ONNX. Strong understanding of model architectures (CV, NLP, LLMs, and multi-modal networks). Proficiency in Python and C++ (skill level: 7/10 or higher). Expertise in data structures and algorithms (skill level: 7/10 or higher). Experience in inference graph optimization, quantization-aware training, and deployment of AI/ML models. Knowledge of AI edge and server systems, infrastructure, and industry standards. Familiarity with ONNX Runtime, PyTorch runtime, and TensorFlow runtime. Experience in competitor toolchain surveys and emerging trends in AI/ML. Excellent debugging, analytical, and development skills. Desirable Skills: Experience with GPUs, machine learning accelerators, and related software. Familiarity with ML compilers like TVM, GLOW, and XLA. Hands-on use of version control tools like Git and GitHub. Knowledge of LLM fine-tuning and advanced training techniques. Qualifications: Bachelor s, Master s, or PhD degree in Engineering, AI/ML, Computer Science, or a related field. Work Experience: Bachelor s degree with 3+ years of relevant experience. Master s degree with 2+ years of relevant experience. PhD with 1+ year of relevant experience. Qualification : Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.

General Summary: Qualcomm is a company of inventors that has unlocked 5G, ushering in an era of rapid acceleration in connectivity and new possibilities across industries. But this is just the beginning. Qualcomm thrives on innovation and diversity, with teams made up of inventive minds from different backgrounds and cultures, all working together to transform cutting-edge technologies into world-changing products. As a GPU Functional Verification Engineer at Qualcomm, your responsibilities will involve a deep understanding of 3D Graphics hardware pipelines, feature sets, data paths, and block functionalities. You will play a key role in designing and developing verification strategies, implementing testbenches, and working on the functional verification of Qualcomm s Snapdragon SoC products. Key Responsibilities: Develop deep expertise in the 3D Graphics hardware pipeline, including feature sets, data paths, and block functionalities. Strategize, brainstorm, and propose Design Verification (DV) environments; develop testbenches and own test plans. Debug all RTL artifacts and work to achieve comprehensive signoff matrices. Collaborate with EDA vendors and explore innovative DV methodologies to push the limits of signoff quality. Partner with architecture, design, and systems teams globally to meet and exceed all project goals. Develop and execute UVM-based System Verilog testbenches for functional verification of complex GPU designs. Engage in property-based formal verification (knowledge of formal tools is a plus). Work on subsystem-level testbenches to analyze GPU workloads and ensure compliance. Utilize emulation platforms to analyze performance and identify potential pipeline bottlenecks. Perform power-aware and gate-level simulations to ensure high-quality GPU implementation. Implement Perl/Python scripts for regression management, optimizing runtimes, managing databases, and tracking bugs. Required Skills and Experience: Bachelor s degree in Computer Science, Electrical/Electronics Engineering, VLSI, or a related field, and 2+ years of relevant experience in Hardware Engineering or Design Verification. Master s degree in a related field and 1+ year of relevant work experience, OR PhD in a related field. Minimum 3 years of experience in design verification. Strong proficiency with UVM-based System Verilog testbenches. Experience with GPU pipeline design is a plus but not mandatory. Working knowledge of property-based formal verification tools is a plus. Strong communication skills (both written and verbal) with the ability to work in a collaborative team environment. Ability to learn quickly and deliver results with high quality. Desirable Skills and Aptitudes: Experience in GPU functional verification and knowledge of 3D graphics hardware pipelines. Familiarity with emulation platforms and the ability to analyze and address performance bottlenecks. Expertise in scripting with Perl and Python for automation and optimizing verification processes. Education Requirements: Bachelor s (BE/ME) or Master s (M.Sc.) degree in Electrical/Electronics Engineering, VLSI, Microelectronics, or equivalent courses from reputed universities. Why Qualcomm? Be a part of a passionate GPU HW team dedicated to developing industry-leading Qualcomm Snapdragon SoCs. Play a pivotal role in shaping the future of mobile AR/VR by contributing to GPU solutions that drive benchmarks in the mobile computing industry. Qualification : Bachelors (BE/ME) or Masters (M.Sc.) degree in Electrical/Electronics Engineering, VLSI, Microelectronics, or equivalent courses from reputed universities.