{"id":3106789,"url":"https://alion.io/job/amd-lead-power-methodology-analysis-engineer","title":"Lead Power Methodology Analysis 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":"Industrial Engineering","role_family":"Industrial Engineering","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":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":134000,"max_usd":271000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1829},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2026-10-22T16:27:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-25T01:47:53Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"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:\nWe are seeking an experienced engineer to develop next-generation power analysis, modeling, and optimization methodologies for complex semiconductor systems. This role spans the design lifecycle, from architectural exploration through implementation and silicon validation, with a focus on improving power efficiency, engineering productivity, and informed design decision-making.\nThe position offers the opportunity to develop new methodologies, solve complex technical problems, collaborate across engineering disciplines, and influence the direction of future products and technologies.\nTHE PERSON:\nYou have strong communication and presentation skills, demonstrated through technical publications, presentations, training, technical documentation, executive briefings, or similar forums. You collaborate effectively with colleagues across technical disciplines and levels of experience and are able to mentor others, share technical knowledge, and contribute to the collective expertise of the team.\nKEY RESPONSIBILITIES:\nDevelop methodologies for power analysis, modeling, correlation, and optimization.\nCreate scalable frameworks, automation, and data-driven solutions for power evaluation and design optimization.\nApply advanced analytics and AI/ML techniques to improve engineering workflows and product efficiency.\nPartner with architecture, design, verification, implementation, software, and silicon teams to address power and performance challenges.\nLead technical initiatives that span multiple projects and engineering disciplines.\nContribute to technical innovation through methodologies, patents, publications, internal knowledge sharing, or other appropriate channels.\nMentor engineers, share technical knowledge, and help establish effective engineering practices.\nPREFERRED EXPERIENCE:\nSignificant experience in semiconductor design, power analysis, power optimization, performance analysis, or related areas. \nStrong understanding of modern ASIC and SoC development methodologies.\nExperience in one or more of the following:Power modeling and estimation\nRTL and architecture-level power analysis\nPower-performance optimization\nWorkload-driven analysis\nPhysical design power optimization\nSilicon power characterization\nAI/ML applications for engineering productivity and power optimization\n\nStrong analytical, problem-solving, collaboration, and communication skills.\nExperience leading complex technical projects and collaborating across teams and disciplines.\nACADEMIC CREDENTIALS:\nMS or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent relevant industry experience.\nThis role is not eligible for visa sponsorship.\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 seeking an experienced engineer to develop next-generation power analysis, modeling, and optimization methodologies for complex semiconductor systems. This role spans the design lifecycle, from architectural exploration through implementation and silicon validation, with a focus on improving power efficiency, engineering productivity, and informed design decision-making.\nThe position offers the opportunity to develop new methodologies, solve complex technical problems, collaborate across engineering disciplines, and influence the direction of future products and technologies.\nTHE PERSON:\nYou have strong communication and presentation skills, demonstrated through technical publications, presentations, training, technical documentation, executive briefings, or similar forums. You collaborate effectively with colleagues across technical disciplines and levels of experience and are able to mentor others, share technical knowledge, and contribute to the collective expertise of the team.\nKEY RESPONSIBILITIES:\nDevelop methodologies for power analysis, modeling, correlation, and optimization.\nCreate scalable frameworks, automation, and data-driven solutions for power evaluation and design optimization.\nApply advanced analytics and AI/ML techniques to improve engineering workflows and product efficiency.\nPartner with architecture, design, verification, implementation, software, and silicon teams to address power and performance challenges.\nLead technical initiatives that span multiple projects and engineering disciplines.\nContribute to technical innovation through methodologies, patents, publications, internal knowledge sharing, or other appropriate channels.\nMentor engineers, share technical knowledge, and help establish effective engineering practices.\nPREFERRED EXPERIENCE:\nSignificant experience in semiconductor design, power analysis, power optimization, performance analysis, or related areas. \nStrong understanding of modern ASIC and SoC development methodologies.\nExperience in one or more of the following:Power modeling and estimation\nRTL and architecture-level power analysis\nPower-performance optimization\nWorkload-driven analysis\nPhysical design power optimization\nSilicon power characterization\nAI/ML applications for engineering productivity and power optimization\n\nStrong analytical, problem-solving, collaboration, and communication skills.\nExperience leading complex technical projects and collaborating across teams and disciplines.\nACADEMIC CREDENTIALS:\nMS or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent relevant industry experience.\nThis role is not eligible for visa sponsorship.\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":7864,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","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":"2026-10-22T19:30:57Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":1,"expected_fill_days":28,"reasons":["conf:3","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/amd-lead-power-methodology-analysis-engineer","json_url":"https://alion.io/job/amd-lead-power-methodology-analysis-engineer.json","meta":{"generated_at":"2026-10-25T02:10:33Z","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":3274,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"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-power-methodology-analysis-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-power-methodology-analysis-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-power-methodology-analysis-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-power-methodology-analysis-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famd-lead-power-methodology-analysis-engineer"}]}