{"id":2912038,"url":"https://alion.io/job/amd-ai-research-scientist-hardware-ai-systems","title":"AI Research Scientist, Hardware AI Systems","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":"A","score":95,"open_postings":8,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":81,"computed_at":"2026-11-02T06:13:15Z"}},"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":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":155000,"max_usd":345000,"period":"year","method":"role_country_seniority_unknown","sample_n":4425},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Function Calling","optional":true},{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Transfer Learning","optional":true}],"status":"closed","first_seen_at":"2026-07-02T02:37:00Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-02T16:06:30Z","board_verified":false,"closed_at":"2026-11-02T16:06:30Z","days_open":123,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":122},"description":"WHAT YOU DO AT AMD CHANGES EVERYTHING\nAt AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gamingand embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuityand a shared passion to create something extraordinary. When you join AMD, you’lldiscover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.Together, we advance your career.\nTHE ROLE:\nWe are hiring a AI Research Scientist, Hardware AI Systems, to develop AI systems that generalize across hardware engineering contexts, different SoC programs, toolchains, process nodes, and teams, without bespoke retraining for every program. You will work on metareasoning (when to call which tool or simulator), representation learning across flows (RTL, verification, physical design), and learning under high- or mixed-latency rewards typical of silicon signoff. You partner with methodology and silicon teams to turn one-off wins into reusable models, benchmarks, and transfer protocols that compound across AMD’s roadmap.\nTHE PERSON:\nYou think in distribution shift, domain adaptation, and structured priors-not only bigger models. You respect domain experts and treat their time and signoff criteria as first-class constraints in problem formulation.\nKEY RESPONSIBILITIES:\nResearch transfer and multi-task learning for engineering agents across IP blocks, tools, and program generations\nDevelop metareasoning policies for budgeting expensive EDA steps, selecting abstractions, and recovering from tool or data failures\nBuild cross-program benchmarks and datasets that expose generalization gaps and track progress over time\nCollaborate with RL scientists on reward shaping and credit assignment when feedback is slow or heterogeneous\nPublish at top venues where appropriate; maintain internal technical standards for “generalization claims” backed by evidence\nPREFERRED EXPERIENCE:\nDeep technical expertise and proven research experience in machine learning (ML), with emphasis on transfer learning, meta-learning, intelligent agents, and long-horizon reinforcement learning (RL).\n\nExposure to hardware development (RTL, verification, PD, or bring-up) or willingness to ramp with embedded experts\nExperience with Large Language Models (LLM) tool use, planning, or hierarchical control in real toolchains\nACADEMIC CREDENTIALS:\nPhD in Computer Science, Machine Learning, or related field strongly preferred.\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:\nWe are hiring a AI Research Scientist, Hardware AI Systems, to develop AI systems that generalize across hardware engineering contexts, different SoC programs, toolchains, process nodes, and teams, without bespoke retraining for every program. You will work on metareasoning (when to call which tool or simulator), representation learning across flows (RTL, verification, physical design), and learning under high- or mixed-latency rewards typical of silicon signoff. You partner with methodology and silicon teams to turn one-off wins into reusable models, benchmarks, and transfer protocols that compound across AMD’s roadmap.\nTHE PERSON:\nYou think in distribution shift, domain adaptation, and structured priors-not only bigger models. You respect domain experts and treat their time and signoff criteria as first-class constraints in problem formulation.\nKEY RESPONSIBILITIES:\nResearch transfer and multi-task learning for engineering agents across IP blocks, tools, and program generations\nDevelop metareasoning policies for budgeting expensive EDA steps, selecting abstractions, and recovering from tool or data failures\nBuild cross-program benchmarks and datasets that expose generalization gaps and track progress over time\nCollaborate with RL scientists on reward shaping and credit assignment when feedback is slow or heterogeneous\nPublish at top venues where appropriate; maintain internal technical standards for “generalization claims” backed by evidence\nPREFERRED EXPERIENCE:\nDeep technical expertise and proven research experience in machine learning (ML), with emphasis on transfer learning, meta-learning, intelligent agents, and long-horizon reinforcement learning (RL).\n\nExposure to hardware development (RTL, verification, PD, or bring-up) or willingness to ramp with embedded experts\nExperience with Large Language Models (LLM) tool use, planning, or hierarchical control in real toolchains\nACADEMIC CREDENTIALS:\nPhD in Computer Science, Machine Learning, or related field strongly preferred.\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":6689,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":true},"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":"2026-10-20T09:44:57Z"},{"event":"close","at":"2026-10-31T02:11:15Z"},{"event":"reopen","at":"2026-10-31T06:09:31Z"},{"event":"close","at":"2026-10-31T09:50:42Z"},{"event":"reopen","at":"2026-10-31T20:55:29Z"},{"event":"close","at":"2026-11-01T10:01:16Z"},{"event":"reopen","at":"2026-11-01T14:06:37Z"},{"event":"close","at":"2026-11-02T00:03:04Z"},{"event":"reopen","at":"2026-11-02T09:29:27Z"},{"event":"close","at":"2026-11-02T16:06:30Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/amd-ai-research-scientist-hardware-ai-systems","json_url":"https://alion.io/job/amd-ai-research-scientist-hardware-ai-systems.json","meta":{"generated_at":"2026-11-02T22:10:26Z","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":31246,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"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-research-scientist-hardware-ai-systems"},{"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-research-scientist-hardware-ai-systems"},{"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-research-scientist-hardware-ai-systems"},{"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-research-scientist-hardware-ai-systems\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famd-ai-research-scientist-hardware-ai-systems"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2912038}},{"tool":"search_jobs","arguments":{"company":"amd.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2912038},"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. 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