Jobs / United States / Nvidia Corporation

Nvidia Corporation

Senior Algorithm Engineer -- Autonomous Vehicles

2 Locations Posted today

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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 2,374 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.
  • 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.
  • What Nvidia Corporation paid sponsored hires in similar roles701 certified filings for “Engineer Senior Systems Software” (Software Developers) in CA: $173k–$214k, median $190k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 2,374 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. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-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 Nvidia Corporation paid sponsored hires in similar roles
701 certified filings for “Engineer Senior Systems Software” (Software Developers) in CA: $173k–$214k, median $190k. Most were filed at wage level IV (82%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

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.

About the role

Join our DRIVE Road Structure, Online Mapping, and Context Fusion team as we shape the future of autonomous driving! In this role, you’ll play a key part in developing a comprehensive 3D world model by integrating map and perception data, enabling our vehicles to navigate even the most complex roads and intersections in the U.S. and Europe. Collaborate closely with our perception and planning teams to deliver robust solutions central to our vision for autonomous vehicles. If you’re passionate about advancing human-level AI for navigation in real-world, unconstrained environments, we want you on our team! What you'll be doing: • Develop Core Autonomous Driving Features: Create foundational systems for autonomous driving across diverse geographies by merging state-of-the-art perception DNNs and map data. • Build Real-Time 3D World Models: Integrate sensor and external inputs to generate dynamic 3D models for planning and navigation. • Enable HD Mapless Driving: Design enriched bird’s-eye-view (BEV) models to support autonomous driving in complex urban environments. • Enhance AV Scenarios: Construct fused static obstacle and occupancy grids, and generate occlusion masks to improve scenario understanding. • Lead Technology Initiatives: Guide the team in solving challenging AV problems and collaborate hands-on to drive innovation. • Mentor and Grow the Team: Recruit, hire, and mentor talented engineers. • Ensure Quality and Safety: Develop algorithms that perform reliably on large datasets across varied conditions, adhering to automotive quality and safety standards. What we need to see: • Bachelor’s, Master’s, or PhD in Computer Science or related field, or equivalent experience. • 10+ years of experience, including at least 2 years in autonomous vehicles or robotics. • 2+ years of technical leadership experience. • Deep passion for robotics and autonomous vehicles. • Eagerness to learn and solve impactful challenges. • Excellent communication and collaboration skills, especially with global teams. • Strong independent and analytical software engineering abilities. • Experience with embedded or automotive software development. Ways to Stand Out from the Crowd : • Expertise in 3D geometry, computer vision, sensor calibration, or state estimation (e.g., Kalman/particle filters). • Significant industry experience with self-driving cars. • Background in developing real-time computer vision systems. • Strong skills in API and framework design. At NVIDIA, we believe self-driving vehicles will be a transformative achievement for our generation, with the potential to save millions of lives. We have the resources, scale, and ambition—now we need your expertise. Join a team of forward-thinking innovators at one of the world’s most desirable technology employers. If you’re entrepreneurial, driven, and ready to make an impact, we’d love to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 30, 2026. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic pr

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