Jobs / United States / General Motors Company
Senior Software Engineer - SimCore
General Motors Company · 🇺🇸 Sunnyvale, California, United States of America
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 roles34 certified filings for “Senior Software Engineer” (Software Developers) in CA: $216k–$265k, median $235k. Most were filed at wage level IV (65%) — 4 lottery entries, ≈61% 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 As a Senior Software Engineer on the SimCore team, you will build and deploy applied AI/ML solutions that directly support simulation workflows, internal tools, and mission-critical engineering use cases. You will operate at the full spectrum of innovation—from early exploration and rapid prototyping to shipping robust, maintainable production systems. You will collaborate closely with simulation, scenario-generation, data, and engineering teams to uncover opportunities where AI can create value —then deliver solutions that meet clear customer and business success criteria. We are looking for a Senior Software Engineer with a strong applied research background. Ideal candidates have hands-on experience with state-of-the-art multimodal GenAI and/or 3D reconstruction models, and excel at building robust, high-performance inference pipelines. This role is not focused on training foundation models, but rather on fine‑tuning, adapting, optimizing, evaluating, and shipping them as production systems. Minimum Qualifications • Master’s degree required, PhD preferred, in CS, Robotics, EE, or related fields. • 5+ years of applied ML/AI engineering experience, with at least 2+ years delivering production AI systems at scale. • VLM and ML world model building this physical model from. Sensor to sensor, and sensor to 3D. • Deep knowledge of at least one modern multimodal or 3D computer vision pipeline (e.g., NeRF, Gaussian Splatting, world models, diffusion-based generation). • Strong programming skills in Python, along with experience using a modern ML/AI library such as PyTorch, TensorFlow, OpenAI APIs, HuggingFace, gsplat, etc. • Solid understanding of ML fundamentals including data preprocessing, training pipelines, evaluation metrics, and model performance optimization. • Ability to move fluidly between research exploration and practical engineering. • Demonstrated ability to lead projects end-to-end with minimal guidance. Preferred Qualifications • Proven experience fine-tuning and optimizing foundation models (LLMs, VLMs, diffusion, 3D neural models). • Experience integrating models into simulation pipelines, robotics systems, mapping workflows, or AV perception stacks. • Experience with scene understanding, or computational geometry • Background in 3D geometry, graphics, or sensor modeling. • Proficiency with vector search/RAG systems and embedding pipelines. • Familiarity with GCP or other cloud platforms, Kubernetes, Docker, and production observability. • Prior experience mentoring teams, defining architecture, and leading multi-quarter technical initiatives. Compensation: • The expected base compensation for this role is: $170,600 - $261,300. Actual base compensation within the identified range will vary based on factors relevant to the position. • You also need to include general information about potential commissions, if applicable. • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: • Benefits: 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, tuition assistance programs, employee assistance program, GM vehicle discounts and more. About GM Our 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. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change t