Six Figure Work

Senior Algorithm Engineer -- Autonomous Vehicles

NVIDIA

Company websitenvidia.com (NVIDIA, opens in new tab)

Base salary $184,000  to $356,500

Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA

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  • LocationSanta Clara, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

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 other objective job-related factors. The expected base salary ranges for this position are:
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 November 3, 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 protected by law.

Source: NVIDIA on Workday · View original posting (opens in new tab)

This range next to 6 other live NVIDIA roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live NVIDIA roles with the nearest advertised base floor
RolePublished base
Senior Algorithm Engineer -- Autonomous Vehicles (this listing)$184,000 - $356,500
Senior Software Engineer, Subnet Management$184,000 - $356,500
Senior Software Engineer, AI Networking$184,000 - $356,500
Senior Software Engineer, Machine Learning Safety$184,000 - $356,500
Senior Firmware Security Architect, Networking$184,000 - $356,500
Senior Compiler Engineer - AI$184,000 - $287,500
Senior System Software Engineer, Performance - CUDA Driver$184,000 - $356,500

Same $100K to $400K scale as every card. All NVIDIA roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-30
Where this pay comes from

Location as the employer wrote it: US, CA, Santa Clara • US, Remote (Levels 4-5 combined)

184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.