NVIDIA

NVIDIA

Posted via Workday

Senior Algorithm Engineer -- Autonomous Vehicles

Posted Oct 27, 2026

Role at a glance

Job function
AI & Data Autonomous Systems Engineering
Salary
Not yet verified Check the description for pay details; an amount or pay period has not been verified.
Location
Santa Clara, California, United States
Employment
Full-time
Experience
Senior Level 10+ years of experience, including at least 2 years in autonomous vehicles or robotics.
Education
Bachelor's, Master's, or PhD in Computer Science or related field, or equivalent experience.

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Role Summary

AI-generated

Senior Algorithm Engineer on the DRIVE Road Structure, Online Mapping, and Context Fusion team, working on a comprehensive 3D world model that integrates map and perception data for autonomous driving on complex roads and intersections in the U.S. and Europe. The role collaborates closely with perception and planning teams.

What You'll Do

  • Create foundational autonomous driving systems by merging state-of-the-art perception DNNs and map data across diverse geographies
  • Integrate sensor and external inputs to generate dynamic 3D models for planning and navigation
  • Design enriched bird's-eye-view (BEV) models to support HD mapless driving in complex urban environments
  • Construct fused static obstacle and occupancy grids and generate occlusion masks to improve scenario understanding
  • Guide the team in solving challenging AV problems and collaborate hands-on to drive innovation
  • Recruit, hire, and mentor talented engineers

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Senior engineer with 10+ years of experience, including at least 2 years in autonomous vehicles or robotics, and 2+ years of technical leadership.

Required

  • 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

Preferred

  • 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

Original job description

Content provided by the employer

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 protected by law.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.