{"id":3753126,"url":"https://alion.io/job/intel-gpu-validation-engineer-3","title":"GPU Validation Engineer","company":{"id":35,"name":"Intel","domain":"intel.com","url":"https://alion.io/company/intel","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":101,"ghost_share":0.03,"stale_share":0.535,"repost_share":0.059,"time_to_fill_p50_days":30,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Hardware","role_family":"Hardware","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Assembly","optional":true},{"name":"Git","optional":true},{"name":"Jenkins","optional":true},{"name":"Python","optional":true},{"name":"WinDbg","optional":true}],"status":"live","first_seen_at":"2026-11-03T00:00:00Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-06T15:53:26Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Details:\nJob Description:\nThe Role and Impact:\nAs a GPU Validation Engineer, you will play a critical role in ensuring the functional accuracy, performance, and reliability of Intel's cutting-edge GPUs. You will define, develop, and execute robust validation methodologies to test interactions between GPU features across hardware and software layers. Your work will directly impact the quality and performance of Intel GPUs, enabling seamless integration into diverse systems and driving innovation in graphics and compute technologies. \nBusiness group :\nYou will be part of Intel's Data Center Group (DCG), which leads the development of technologies that power the world's data-centric infrastructure. This group focuses on shaping the future of cloud computing, AI, and high-performance computing by delivering solutions that advance Intel's leadership in data processing and connectivity. Joining DCG offers an exciting opportunity to contribute to groundbreaking products that support Intel's broader mission of enabling global progress through technology. \nKey Responsibilities:\nDevelop and execute functional validation plans for GPUs, ensuring comprehensive test coverage across hardware and software components.\nAnalyze and debug silicon issues to identify root causes, resolve failures, and optimize GPU designs.\nTest and validate system-level interactions between GPU features using advanced validation infrastructure.\nCollaborate with architecture, design, verification, and manufacturing teams to refine validation methodologies and processes.\nReview proposed design changes to assess their impact on validation timelines, tasks, and performance goals.\nDesign and implement post-silicon validation infrastructure, including behavioral checkers, performance monitors, and coverage tools.\nPublish detailed validation reports summarizing key findings, results, and recommendations.\nMaintain and improve validation strategies to support product specifications and enhance overall GPU functionality.\nDefines, develops, and performs functional validation for GPUs, focusing on validation of interaction of GPUs, media, display and system level features. Applies various hardware and software level tools and techniques to ensure validation coverage and that performance, power, and area goals are met.\nReviews proposed design changes to assess impact on validation plans, tasks, and timelines.\nDevelops GPU validation methodologies, executes validation plans, and collaborates with other engineers for design optimization, troubleshooting, and failure analysis.\nPerforms silicon debug to identify root causes and resolves all functional and triage failures for GPU issues. Tests interactions between various GPU features using validation infrastructure.\nDevelops post silicon validation infrastructure (e.g., performance monitors, behavioral checkers, state space coverage) and test environment used in validation testing.\nPublishes GPU validation reports summarizing all validation activities performed, reviews results, and communicates to relevant teams.\nWorks with architecture, design, verification, board, platform, and manufacturing teams to maintain and improve debug, validation test strategy, methodologies, and processes for graphics interfaces and to meet desired product specifications.\nQualifications:\nMinimum Qualifications:\nBachelor's degree in a relevant field and 9+ years of experience, or a Master's degree with 6+ years, or a Ph.D. with 4+ years working in GPU validation, silicon debugging, or related domains. \nProficiency in validation tools and techniques, including hardware validation infrastructure and software-based testing methodologies.\nExperience with silicon debug processes, triage failure analysis, and system-level validation. \nStrong technical expertise in GPU architecture, media, and display technologies. \nDemonstrated ability to develop and execute validation plans aligned with design and performance goals. \nPreferred Qualifications:\nProven experience collaborating with cross-functional engineering teams to drive design optimizations and resolve technical challenges.\nStrong analytical and problem-solving skills, with a focus on continuous improvement in validation processes. \nEffective communication skills to present findings and recommendations through clear and concise reports. \nPassion for innovation and a proactive mindset to contribute to advancements in GPU technologies. \nProven experience in platform validation, low power flow management, memory expertise and ( GDDR/LPDDR ) debugging, and test content development, with a focus on reset/boot/low power functionalities.\nStrong understanding of server architectures, hardware components, and operating systems.\nProficiency in scripting languages (e.g., Python) for test automation, debugging, and test content development.\nExperience with validation, debugging, and test content development tools and frameworks (e.g., Jenkins, GDB, WinDbg).\nExcellent problem-solving skills and attention to detail.\nStrong communication and collaboration skills, with the ability to work effectively in a team environment.\nFamiliarity with version control systems (e.g., Git) and issue tracking tools (e.g., JIRA).\nKnowledge of industry standards and best practices related to server reset, platform validation, debugging, and test content development.\nYour work will help define the future of graphics processing technology, creating opportunities to grow, develop, and make a lasting impact through meaningful contributions to Intel's product excellence and innovation.\nJob Type:\nExperienced HireShift:\nShift 1 (India)Primary Location:\nIndia, BangaloreAdditional Locations:\nPosting Statement:\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of Trust\nN/AWork Model for this Role\nThis role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.*\nADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. 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