{"id":2911984,"url":"https://alion.io/job/amd-ai-systems-validation-engineer","title":"AI Systems 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":"A","score":95,"open_postings":10,"ghost_share":0,"stale_share":0.2,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-11-04T06:34:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Secaucus, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":165000,"max_usd":317000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1332},"experience_years_min":8,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"HPC","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Bash","optional":true},{"name":"Linux","optional":true},{"name":"PowerShell","optional":true}],"status":"closed","first_seen_at":"2026-07-22T14:53:00Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-04T01:47:01Z","board_verified":false,"closed_at":"2026-11-04T01:47:01Z","days_open":104,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":103},"description":"ADVANCE YOUR CAREER. ADVANCE THE WORLD.\nAt AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we’re looking for talent who feel the same: people who want to leave the planet better than they found it, those who don’t shy away from humanity’s challenges but are determined to help solve them.\nAMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger - technology that moves the world forward.\nTHE ROLE\nThis role focuses on leading system-level, rack-level, and cluster-scale validation for next-generation AI and machine learning platforms. You will define validation strategies, drive technical direction, and lead complex validation initiatives across hardware, firmware, software, and infrastructure domains.\nYou will work closely with architecture, platform engineering, silicon design, firmware, software, and deployment teams to ensure product quality, reliability, and deployment readiness at scale. The role requires deep technical expertise, strong analytical skills, and the ability to influence technical decisions across multiple engineering organizations. You will be responsible for establishing validation methodologies, driving execution across large-scale validation environments, and identifying quality risks that impact product readiness and customer deployments.\nTHE PERSON\nYou are a technical leader with extensive experience in system-level validation and large-scale server platforms. You thrive on solving complex technical problems, driving cross-functional initiatives, and defining scalable validation approaches for emerging technologies.\nYou are comfortable operating with minimal supervision while providing technical leadership across engineering teams. You possess strong debugging skills, sound technical judgment, and a deep understanding of hardware-software interactions. You proactively identify technical risks, drive resolution of complex platform issues, and influence engineering decisions that improve product quality, validation effectiveness, and deployment readiness. You are passionate about mentoring engineers and elevating engineering excellence across the organization.\nKEY RESPONSIBILITIES\nLead system-level, rack-level, and cluster-scale validation strategyfor AI and machine learning server platforms.\nDefine and drive comprehensive validation planscovering customer deployment scenarios across scale-up and scale-out environments.\nDevelop validation methodologiesand test strategies spanning CPU, GPU, memory, BIOS, BMC, networking, storage, platform firmware, operating systems, and infrastructure components.\nCollaborate with architecture, hardware, firmware, software, and platform engineering teams to define validation requirements, identify coverage gaps, and improve overall product quality.\nLead investigation and root cause analysisof complex hardware, firmware, software, networking, and system integration issues.\nDrive technical decision-makingwithin the validation organization and influence cross-functional teams to resolve critical product risksand quality concerns.\nDefine and enhance scalable validation frameworks, automation infrastructure, telemetry-driven workflows, and data-driven validation methodologies.\nAnalyze large-scale validation datato identify systemic failures, reliability risks, performance bottlenecks, and product readiness concerns.\nEstablish validation readiness criteria, quality metrics, and coverage strategiesthat improve execution efficiency and provide early risk identification.\nMentor and provide technical leadershipto engineers, helping improve validation methodologies, automation capabilities, debugging effectiveness, and system-level engineering practices.\nDrive execution across multiple validation programswhile managing priorities, dependencies, schedules, and technical risks.\nCommunicate validation status, readiness assessments, quality metrics, technical recommendations, and key risks to senior technical leadership and management.\nSupport customer-focused validation effortsby ensuring test environments accurately represent real-world deployment conditionsand hyperscale operating environments.\nDrive continuous improvementsin validation processes, tools, and automation to improve organizational efficiency, test coverage, and product quality.\nPREFERRED EXPERIENCE\n8+ years of experiencein system-level validation, platform validation, post-silicon validation, large-scale infrastructure validation, or related engineering disciplines.\nProven experience validating large-scale server, AI, cloud, HPC, or data center platforms.\nDemonstrated ability to lead investigation and resolution of complex hardware, firmware, software, networking, and infrastructure issues.\nExperience validating scale-up and scale-out architectures, including rack-scale and cluster-scale deployments.\nDeep understanding of computer architecture, server platform design, operating systems, networking, storage, and hardware/software interactions.\nExperience developing automated validation frameworks, orchestration systems, and large-scale test infrastructure.\nStrong proficiency in Pythonand Linux environments, with working knowledge of Bash and/or PowerShell.\nExperience leveraging telemetry, analytics, and data-driven methodologiesto improve validation coverage, efficiency, and root cause analysis.\nFamiliarity with AI, machine learning, GPU computing, or accelerated computing environmentsdeployed in data center infrastructures.\nDemonstrated ability to lead cross-functional technical initiativesand influence engineering decisions across organizational boundaries.\nExperience mentoring engineers and driving technical excellencewithin validation and product engineering organizations.\nExperience supporting product readiness, customer deployment validation, and release qualification activities.\nStrong communication skills with the ability to convey technical risks, recommendations, and status to executive and technical leadership.\nACADEMIC CREDENTIALS\nBachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.\nLOCATION\nSecaucus, New Jersey (Onsite)\n\nThis role is not eligible for visa sponsorship.\n#LI-SC3\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\nThis role focuses on leading system-level, rack-level, and cluster-scale validation for next-generation AI and machine learning platforms. You will define validation strategies, drive technical direction, and lead complex validation initiatives across hardware, firmware, software, and infrastructure domains.\nYou will work closely with architecture, platform engineering, silicon design, firmware, software, and deployment teams to ensure product quality, reliability, and deployment readiness at scale. The role requires deep technical expertise, strong analytical skills, and the ability to influence technical decisions across multiple engineering organizations. You will be responsible for establishing validation methodologies, driving execution across large-scale validation environments, and identifying quality risks that impact product readiness and customer deployments.\nTHE PERSON\nYou are a technical leader with extensive experience in system-level validation and large-scale server platforms. You thrive on solving complex technical problems, driving cross-functional initiatives, and defining scalable validation approaches for emerging technologies.\nYou are comfortable operating with minimal supervision while providing technical leadership across engineering teams. You possess strong debugging skills, sound technical judgment, and a deep understanding of hardware-software interactions. You proactively identify technical risks, drive resolution of complex platform issues, and influence engineering decisions that improve product quality, validation effectiveness, and deployment readiness. You are passionate about mentoring engineers and elevating engineering excellence across the organization.\nKEY RESPONSIBILITIES\nLead system-level, rack-level, and cluster-scale validation strategyfor AI and machine learning server platforms.\nDefine and drive comprehensive validation planscovering customer deployment scenarios across scale-up and scale-out environments.\nDevelop validation methodologiesand test strategies spanning CPU, GPU, memory, BIOS, BMC, networking, storage, platform firmware, operating systems, and infrastructure components.\nCollaborate with architecture, hardware, firmware, software, and platform engineering teams to define validation requirements, identify coverage gaps, and improve overall product quality.\nLead investigation and root cause analysisof complex hardware, firmware, software, networking, and system integration issues.\nDrive technical decision-makingwithin the validation organization and influence cross-functional teams to resolve critical product risksand quality concerns.\nDefine and enhance scalable validation frameworks, automation infrastructure, telemetry-driven workflows, and data-driven validation methodologies.\nAnalyze large-scale validation datato identify systemic failures, reliability risks, performance bottlenecks, and product readiness concerns.\nEstablish validation readiness criteria, quality metrics, and coverage strategiesthat improve execution efficiency and provide early risk identification.\nMentor and provide technical leadershipto engineers, helping improve validation methodologies, automation capabilities, debugging effectiveness, and system-level engineering practices.\nDrive execution across multiple validation programswhile managing priorities, dependencies, schedules, and technical risks.\nCommunicate validation status, readiness assessments, quality metrics, technical recommendations, and key risks to senior technical leadership and management.\nSupport customer-focused validation effortsby ensuring test environments accurately represent real-world deployment conditionsand hyperscale operating environments.\nDrive continuous improvementsin validation processes, tools, and automation to improve organizational efficiency, test coverage, and product quality.\nPREFERRED EXPERIENCE\n8+ years of experiencein system-level validation, platform validation, post-silicon validation, large-scale infrastructure validation, or related engineering disciplines.\nProven experience validating large-scale server, AI, cloud, HPC, or data center platforms.\nDemonstrated ability to lead investigation and resolution of complex hardware, firmware, software, networking, and infrastructure issues.\nExperience validating scale-up and scale-out architectures, including rack-scale and cluster-scale deployments.\nDeep understanding of computer architecture, server platform design, operating systems, networking, storage, and hardware/software interactions.\nExp...","description_format":"text","description_chars":14180,"description_truncated":true,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Computer Components","AI Chips & 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