{"id":2910216,"url":"https://alion.io/job/amd-ai-systems-performance-engineer","title":"AI Systems Performance 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":77,"open_postings":170,"ghost_share":0,"stale_share":0.906,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":143000,"max_usd":318000,"period":"year","method":"role_country_seniority_unknown","sample_n":4425},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Linux","optional":false},{"name":"llama.cpp","optional":true},{"name":"ONNX Runtime","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true},{"name":"Vision Transformer","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-10-06T16:31:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-30T04:07:40Z","board_verified":true,"closed_at":null,"days_open":23,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":23},"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.\nTHE ROLE:\nAs a member of AMD's AI Systems Power and Performance Engineering team, you will play a critical role in evaluating and optimizing the performance of next-generation AI workloads on AMD embedded and client platforms. Working at the intersection of AI software, hardware architecture, and system performance, you will help deliver data-driven insights that influence product development, competitive positioning, and customer success.\nYou will collaborate with AI software teams, architects, firmware developers, platform engineers, product planners, and business stakeholders to characterize AI workloads, identify performance bottlenecks, and drive continuous improvements across AMD's AI-enabled products\nTHE PERSON:\nThe ideal candidate is passionate about AI technologies and system performance. You enjoy understanding how modern AI workloads interact with hardware and software systems and are naturally curious when investigating performance anomalies.\nYou are comfortable working in Linux environments, analyzing workload behavior, and leveraging profiling tools to understand system-level bottlenecks. You thrive in collaborative environments and enjoy translating complex technical findings into actionable insights for engineering teams.\nKEY RESPONSIBILITIES:\nBenchmark and characterize AI inference workloads across AMD embedded and client platforms.\nExecute performance, power, and efficiency analysis of modern AI workloads, including Large Language Models (LLMs), Vision Language Models (VLMs), computer vision applications, and emerging AI use cases.\nDevelop and maintain automated benchmarking environments and performance dashboards.\nConfigure and optimize AI workload execution environments using industry-standard frameworks and runtimes.\nCollect, analyze, and interpret system-level performance traces using hardware and software profiling tools.\nInvestigate workload bottlenecks involving compute, memory bandwidth, latency, and system resource utilization.\nWork closely with software, firmware, architecture, and platform teams to support performance analysis and optimization activities.\nSupport the development of benchmarking methodologies used for competitive analysis and product evaluation.\nGenerate data-driven reports and present findings to engineering stakeholders.\nPREFERRED EXPERIENCE:\nExperience with AI inference frameworks such as PyTorch, ONNX Runtime, TensorFlow, vLLM, llama.cpp, or similar technologies.\nFamiliarity with modern AI model architectures including LLMs, VLMs, CNNs, and Vision Transformer (ViT) workloads.\nStrong Linux systems knowledge and experience working in command-line environments.\nExperience with performance profiling, workload tracing, and system analysis tools.\nUnderstanding of CPU, GPU, NPU, memory, and system-level performance interactions.\nExperience with Python, Shell scripting, or automation frameworks.\nKnowledge of AMD, x86, ARM, or embedded computing platforms is highly desirable.\nUnderstanding of power and performance optimization methodologies.\nFamiliarity with BIOS configuration and system bring-up activities is a plus.\nACADEMIC CREDENTIALS:\nBachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.\nThis role is not eligible for visa sponsorship.\n#LI-DR2\n\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.\nTHE ROLE:\nAs a member of AMD's AI Systems Power and Performance Engineering team, you will play a critical role in evaluating and optimizing the performance of next-generation AI workloads on AMD embedded and client platforms. Working at the intersection of AI software, hardware architecture, and system performance, you will help deliver data-driven insights that influence product development, competitive positioning, and customer success.\nYou will collaborate with AI software teams, architects, firmware developers, platform engineers, product planners, and business stakeholders to characterize AI workloads, identify performance bottlenecks, and drive continuous improvements across AMD's AI-enabled products\nTHE PERSON:\nThe ideal candidate is passionate about AI technologies and system performance. You enjoy understanding how modern AI workloads interact with hardware and software systems and are naturally curious when investigating performance anomalies.\nYou are comfortable working in Linux environments, analyzing workload behavior, and leveraging profiling tools to understand system-level bottlenecks. You thrive in collaborative environments and enjoy translating complex technical findings into actionable insights for engineering teams.\nKEY RESPONSIBILITIES:\nBenchmark and characterize AI inference workloads across AMD embedded and client platforms.\nExecute performance, power, and efficiency analysis of modern AI workloads, including Large Language Models (LLMs), Vision Language Models (VLMs), computer vision applications, and emerging AI use cases.\nDevelop and maintain automated benchmarking environments and performance dashboards.\nConfigure and optimize AI workload execution environments using industry-standard frameworks and runtimes.\nCollect, analyze, and interpret system-level performance traces using hardware and software profiling tools.\nInvestigate workload bottlenecks involving compute, memory bandwidth, latency, and system resource utilization.\nWork closely with software, firmware, architecture, and platform teams to support performance analysis and optimization activities.\nSupport the development of benchmarking methodologies used for competitive analysis and product evaluation.\nGenerate data-driven reports and present findings to engineering stakeholders.\nPREFERRED EXPERIENCE:\nExperience with AI inference frameworks such as PyTorch, ONNX Runtime, TensorFlow, vLLM, llama.cpp, or similar technologies.\nFamiliarity with modern AI model architectures including LLMs, VLMs, CNNs, and Vision Transformer (ViT) workloads.\nStrong Linux systems knowledge and experience working in command-line environments.\nExperience with performance profiling, workload tracing, and system analysis tools.\nUnderstanding of CPU, GPU, NPU, memory, and system-level performance interactions.\nExperience with Python, Shell scripting, or automation frameworks.\nKnowledge of AMD, x86, ARM, or embedded computing platforms is highly desirable.\nUnderstanding of power and performance optimization methodologies.\nFamiliarity with BIOS configuration and system bring-up activities is a plus.\nACADEMIC CREDENTIALS:\nBachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.\nThis role is not eligible for visa sponsorship.\n#LI-DR2\n\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":9080,"description_truncated":false,"requirements":{"experience_years_min":null,"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":40,"band":"fade","label":"Fading","p_open":1,"p_active":0.528,"p_room":0.75,"age_days":22,"expected_fill_days":32,"reasons":["conf:3","stale_co","velocity","win:late","comp:brand"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/amd-ai-systems-performance-engineer","json_url":"https://alion.io/job/amd-ai-systems-performance-engineer.json","meta":{"generated_at":"2026-10-30T05:52:59Z","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":8069,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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-ai-systems-performance-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-ai-systems-performance-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-ai-systems-performance-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-ai-systems-performance-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famd-ai-systems-performance-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2910216}},{"tool":"search_jobs","arguments":{"company":"amd.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2910216},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}