Senior Algorithm Engineer -- Autonomous Vehicles

Posted 3 Days Ago
Be an Early Applicant
Hiring Remotely in Santa Clara, CA, USA
In-Office or Remote
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop autonomous driving algorithms that fuse perception and map data into real-time 3D world models. Build BEV models, occupancy grids, obstacle representations, and occlusion masks for navigation and planning. Collaborate with perception and planning teams, lead technical initiatives, ensure safety and reliability across large datasets, and recruit, mentor, and grow engineering talent. Apply expertise in computer vision, 3D geometry, sensor calibration, and state estimation to support mapless driving.
Summary Generated by Built In

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.

Skills Required

  • Bachelor's, Master's, or PhD in Computer Science or a related field, or equivalent experience
  • 10+ years of professional experience
  • At least 2 years of experience in autonomous vehicles or robotics
  • At least 2 years of technical leadership experience
  • Experience with embedded or automotive software development
  • Strong independent and analytical software engineering abilities
  • Excellent communication and collaboration skills, especially with global teams
  • Passion for robotics and autonomous vehicles
  • Expertise in 3D geometry, computer vision, sensor calibration, or state estimation
  • Significant industry experience with self-driving cars
  • Experience developing real-time computer vision systems
  • Strong API and framework design skills

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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