{"id":1969643,"url":"https://alion.io/job/general-motors-senior-aiml-performance-engineer","title":"Senior AI/ML Performance Engineer","company":{"id":1705,"name":"General Motors","domain":"gm.com","url":"https://alion.io/company/general-motors-europe","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":70,"ghost_share":0,"stale_share":0.686,"repost_share":0.014,"time_to_fill_p50_days":13,"computed_at":"2026-11-01T06:10:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States","Washington, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":144700,"max":261300,"currency":"USD","period":"year","gross":null,"usd_annual":261300},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Grafana","optional":false},{"name":"HPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Google BigQuery","optional":true},{"name":"Hugging Face","optional":true}],"status":"live","first_seen_at":"2026-10-06T18:47:49Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-31T22:55:32Z","board_verified":true,"closed_at":null,"days_open":25,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":25},"description":"Job Description\nAbout Us:\nThe AV Infrastructure org provides developer environments, cloud infrastructure, and ML/AI GPU platforms for AVresearch anddevelopmentteams to build, test, and run fasterin GM.\nThe Role:\nGM is looking for aSeniorPerformanceEngineer to join the AV Capacity and Performance Engineering teamin the AVInfrastructure orgto support our critical efforts in developing autonomous vehicles. The mission of the AVCPE team is to provide input into large scale ML infrastructure strategy, advise on key decisions affecting our cloud budget,identifyand execute optimization projects, and provide capacity planning and engineeringexpertiseto support GM’s efforts in developing autonomous vehicles (AV).\nWhatyou’llbe doing(Responsibilities)\nStrategic Infrastructure Development: Adopt and run AVmodels tosupport GM’s long-term GPU system strategy and \"evergreen\" infrastructure roadmap.\n\nPerformance Optimization: Conduct deep-dive analyses of production workloads toidentifybottlenecks and propose high-impact optimization strategies.\n\nCross-Functional Collaboration: Partner with AI/ML Research, Infrastructure Engineering, and Cloud Vendors to spearhead projects that enhance engineering velocity and cost-efficiency.\n\nProactive System Scaling: Identifyopportunities for architectural improvements to ensure the scalability and reliability of large-scale ML training and inference environments.\n\nYourskills &abilities (Required Qualifications)\nExperience: 5+ years of professional experience in high-scale infrastructure or ML systems.\n\nEducation: Bachelor’s Degree in Computer Science, a related technical field, or equivalent practical experience.\n\nSoftware Proficiency: Expert-level coding skills inPython and the ability to architect/debug within thePyTorch ecosystem.\n\nSystems Engineering: Proventrack recordof resolving performance issues within large-scale distributed production environments.\n\nArchitectural Knowledge: Deep understanding of distributed systems, specifically modern ML system design and high-performance computing (HPC).\n\nContainerization: Hands-on experience withKubernetes for orchestrating complex workloads.\n\nGPU Monitoring: TechnicalproficiencywithNvidia DCGM,nvidia-smi, andGrafana for real-time telemetry and observability.\n\nCloud Platforms: Extensive experience working within major cloud ecosystems (AWS, GCP, or Azure).\n\nWhatwillgiveyouacompetitiveedge (Preferred Qualifications)\nAdvanced Experience: 8+ years of relevant industry experience.\n\nHardware Expertise: Working knowledge of Enterprise-grade Nvidia GPU architectures, includingH100, B200, and GB200.\n\nModel Deployment: Experience deploying and scaling open-source models via theHugging Face ecosystem.\n\nData Analytics: ProficiencyinBigQuery for large-scale data analysis and reporting.\n\nProfiling Tools: Practical experience utilizingNvidia Nsight andNsight Compute for kernel-level performance tuning.\n\nSoft Skills: Strong technical communication skills with the ability to translate complex infrastructure needs into actionable business insights.\n\nHybrid: This role is categorized asHybrid. This means the successful candidate is expected to report toSunnyvale Technical Centeratminimumthree days per week or at the hiringmanager’sdiscretion. Ability to sit remote in Seattle, WA until office opens.\nCompensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not be representative for positionslocatedoutside of New York, Colorado, California, or Washington.\nThe salary range for this role: is $144,700 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.\n\nBonus Potential: An incentivepayprogram offers payouts based on company performance, job level, and individual performance.\n\nBenefits: GM offers a variety of health and wellbeing benefit programs.Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more.\n\nAbout GM\nOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.\nWhy Join Us\nWe believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.\nBenefits Overview\nFrom day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.\nNon-Discrimination and Equal Employment Opportunities (U.S.)\nGeneral Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.\nAll employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.\nWe encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.\nAccommodations\nGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. 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