Jobs / United States / General Motors Company
Senior AI/ML Performance Engineer
General Motors Company · 🇺🇸 2 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 606 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 267 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What General Motors Company paid sponsored hires in similar roles2 certified filings for “Senior ML Engineer - Embodied AI Offboard Percepti” (Data Scientists) in CA: $230k–$240k, median $235k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — General Motors Company
The US Department of Labor certified 606 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 267 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for General Motors Company →
About the role
Job Description About Us : The AV Infrastructure org provides developer environments, cloud infrastructure, and ML/AI GPU platforms for AV research and development teams to build, test, and run faster in GM . The Role : GM is looking for a Senior Performance Engineer to join the AV Capacity and Performance Engineering team in the AV Infrastructure org to 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, identify and execute optimization projects, and provide capacity planning and engineering expertise to support GM’s efforts in developing autonomous vehicles (AV). What you’ll be doing ( Responsibilities ) • Strategic Infrastructure Development: Adopt and run AV models to support GM’s long-term GPU system strategy and "evergreen" infrastructure roadmap. • Performance Optimization: Conduct deep-dive analyses of production workloads to identify bottlenecks and propose high-impact optimization strategies. • Cross-Functional Collaboration: Partner with AI/ML Research, Infrastructure Engineering, and Cloud Vendors to spearhead projects that enhance engineering velocity and cost-efficiency. • Proactive System Scaling: Identify opportunities for architectural improvements to ensure the scalability and reliability of large-scale ML training and inference environments. Your s kills & a bilities (Required Qualifications) • Experience: 5+ years of professional experience in high-scale infrastructure or ML systems. • Education: Bachelor’s Degree in Computer Science , a related technical field, or equivalent practical experience. • Software Proficiency: Expert-level coding skills in Python and the ability to architect/debug within the PyTorch ecosystem. • Systems Engineering: Proven track record of resolving performance issues within large-scale distributed production environments. • Architectural Knowledge: Deep understanding of distributed systems, specifically modern ML system design and high-performance computing (HPC). • Containerization: Hands-on experience with Kubernetes for orchestrating complex workloads. • GPU Monitoring: Technical proficiency with Nvidia DCGM , nvidia-smi , and Grafana for real-time telemetry and observability. • Cloud Platforms: Extensive experience working within major cloud ecosystems ( AWS, GCP, or Azure ). • What w ill g ive y ou a c ompetitive e dge (Preferred Qualifications) • Advanced Experience: 8+ years of relevant industry experience. • Hardware Expertise: Working knowledge of Enterprise-grade Nvidia GPU architectures, including H100, B200, and GB200 . • Model Deployment: Experience deploying and scaling open-source models via the Hugging Face ecosystem. • Data Analytics: Proficiency in BigQuery for large-scale data analysis and reporting. • Profiling Tools: Practical experience utilizing Nvidia Nsight and Nsight Compute for kernel-level performance tuning. • Soft Skills: Strong technical communication skills with the ability to translate complex infrastructure needs into actionable business insights. Hybrid: This role is categorized as Hybrid . This means the successful candidate is expected to report to Sunnyvale Technical Center at minimum three days per week or at the hiring manager ’ s discretion. Ability to sit remote in Seattle, WA until office opens. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be