{"id":2910084,"url":"https://alion.io/job/amd-lead-aiml-software-use-cases-validation-engineer","title":"Lead AI/ML Software Use Cases Validation Engineer","company":{"id":93,"name":"AMD","domain":"amd.com","url":"https://alion.io/company/amd","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":{"grade":"B","score":75,"open_postings":163,"ghost_share":0,"stale_share":0.994,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"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":{"min_usd":28000,"max_usd":76000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":44},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CUDA","optional":false},{"name":"Linux","optional":false},{"name":"ONNX","optional":false},{"name":"ONNX Runtime","optional":false},{"name":"OpenCL","optional":false},{"name":"Physical AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"ROCm","optional":false},{"name":"TensorFlow","optional":false},{"name":"Ubuntu","optional":false}],"status":"live","first_seen_at":"2026-10-10T15:56:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-24T06:43:09Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"ADVANCE YOUR CAREER. ADVANCE THE WORLD.\nAt AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.\nWhether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we’ll advance your career.\nAI/ML Software Use Cases Validation Engineer (Lead)\nAbout the Role\nJoin AMD’s PAVS team as a Robotics Usecases Validation Engineer where you will Validate and Execute diverse Robotics platforms, variants and customer usecases for advanced robotics systems across software, hardware, and integrated platforms. Your work will ensure safety, reliability, and performance through rigorous testing in simulation, SIL/HIL environments, and real-world deployments.\nJob Summary\nWe are seeking a Lead AI/ML Member of Technical Staff (MTS) with 8-12 years of experience to own and drive validation of AI/ML compute stacks and Physical AI SDKs. This role leads end-to-end AI pipeline validation, benchmarking, and performance optimization on Linux platforms, working closely with architecture, compiler, runtime, and hardware teams to deliver production-quality AI solutions aligned to real customer use cases.\nKey Responsibilities\nLead validation and quality ownership of AI/ML compute stacks on Ubuntu and Yocto\nDefine validation strategy, test architecture, and coverage across functional, performance, stress, regression, and scalability testing\nOwn and drive the defect lifecycle, including triage, root cause analysis, and closure\nValidate end-to-end AI pipelines, including:Model training, conversion, and optimization (e.g., PyTorch → ONNX)\nKernel execution, memory transfers, and inference accuracy\n\nDefine and execute AI benchmarking and profiling strategies for training and inference workloads\nAnalyze compute, memory, and latency bottlenecks and drive system-level and model-level optimizations\nValidate AI frameworks and runtimes (PyTorch, TensorFlow, ONNX Runtime)\nExecute and optimize workloads on ROCm/HIP, CUDA, OpenCL, and heterogeneous accelerators\nDesign and own Python-based automation frameworks for validation, benchmarking, and reporting\nDrive improvements in validation scalability, efficiency, and performance coverage\nCollaborate closely with compiler, runtime, driver, and hardware teams\nProvide technical leadership and mentorship to senior and junior engineers\nCommunicate validation status, performance metrics, and quality risks to stakeholders\nRequired Skills & Qualifications\nTechnical\n8-12 years of experience in AI/ML software validation or performance engineering\nStrong expertise in Python scripting and test automation\nStrong ML fundamentals including deep learning and LLMs\nHands-on experience with ROCm validation, performance profiling, and optimization\nExperience with HIP, CUDA, OpenCL, and TensorFlow/PyTorch integrations\nProven experience validating end-to-end AI pipelines\nStrong Linux expertise (Ubuntu, Yocto)\nValidation & Process\nPerformance-driven validation mindset with focus on production readiness\nAbility to lead initiatives independently with strong ownership\nSoft Skills\nStrong analytical and problem-solving skills with clear written and verbal communication, and the ability to collaborate effectively with global, cross-functional teams.\nEducation\nBachelor’s or Master’s degree in AI/ML, Robotics, Electronics, Computer Science, or a related field.\nBenefits offered are described: AMD benefits at a glance.\nAMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.\nAMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.\n\nThis posting is for an existing vacancy.\nAI/ML Software Use Cases Validation Engineer (Lead)\nAbout the Role\nJoin AMD’s PAVS team as a Robotics Usecases Validation Engineer where you will Validate and Execute diverse Robotics platforms, variants and customer usecases for advanced robotics systems across software, hardware, and integrated platforms. Your work will ensure safety, reliability, and performance through rigorous testing in simulation, SIL/HIL environments, and real-world deployments.\nJob Summary\nWe are seeking a Lead AI/ML Member of Technical Staff (MTS) with 8-12 years of experience to own and drive validation of AI/ML compute stacks and Physical AI SDKs. This role leads end-to-end AI pipeline validation, benchmarking, and performance optimization on Linux platforms, working closely with architecture, compiler, runtime, and hardware teams to deliver production-quality AI solutions aligned to real customer use cases.\nKey Responsibilities\nLead validation and quality ownership of AI/ML compute stacks on Ubuntu and Yocto\nDefine validation strategy, test architecture, and coverage across functional, performance, stress, regression, and scalability testing\nOwn and drive the defect lifecycle, including triage, root cause analysis, and closure\nValidate end-to-end AI pipelines, including:Model training, conversion, and optimization (e.g., PyTorch → ONNX)\nKernel execution, memory transfers, and inference accuracy\n\nDefine and execute AI benchmarking and profiling strategies for training and inference workloads\nAnalyze compute, memory, and latency bottlenecks and drive system-level and model-level optimizations\nValidate AI frameworks and runtimes (PyTorch, TensorFlow, ONNX Runtime)\nExecute and optimize workloads on ROCm/HIP, CUDA, OpenCL, and heterogeneous accelerators\nDesign and own Python-based automation frameworks for validation, benchmarking, and reporting\nDrive improvements in validation scalability, efficiency, and performance coverage\nCollaborate closely with compiler, runtime, driver, and hardware teams\nProvide technical leadership and mentorship to senior and junior engineers\nCommunicate validation status, performance metrics, and quality risks to stakeholders\nRequired Skills & Qualifications\nTechnical\n8-12 years of experience in AI/ML software validation or performance engineering\nStrong expertise in Python scripting and test automation\nStrong ML fundamentals including deep learning and LLMs\nHands-on experience with ROCm validation, performance profiling, and optimization\nExperience with HIP, CUDA, OpenCL, and TensorFlow/PyTorch integrations\nProven experience validating end-to-end AI pipelines\nStrong Linux expertise (Ubuntu, Yocto)\nValidation & Process\nPerformance-driven validation mindset with focus on production readiness\nAbility to lead initiatives independently with strong ownership\nSoft Skills\nStrong analytical and problem-solving skills with clear written and verbal communication, and the ability to collaborate effectively with global, cross-functional teams.\nEducation\nBachelor’s or Master’s degree in AI/ML, Robotics, Electronics, Computer Science, or a related field.\nBenefits offered are described: AMD benefits at a glance.\nAMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.\nAMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.\n\nThis posting is for an existing vacancy.","description_format":"text","description_chars":8660,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-20T09:19:33Z"}],"visa":[],"liveness":{"score":57,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":0.9,"age_days":13,"expected_fill_days":28,"reasons":["conf:3","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/amd-lead-aiml-software-use-cases-validation-engineer","json_url":"https://alion.io/job/amd-lead-aiml-software-use-cases-validation-engineer.json","meta":{"generated_at":"2026-10-24T09:48:28Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":14247,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":93},"rest":"https://alion.io/mcp/rest/get_company?id=93"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Famd-lead-aiml-software-use-cases-validation-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Famd-lead-aiml-software-use-cases-validation-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Famd-lead-aiml-software-use-cases-validation-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/amd-lead-aiml-software-use-cases-validation-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famd-lead-aiml-software-use-cases-validation-engineer"}]}