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Autonomous Driving Engineer Jobs (NOW HIRING)

Nvidia

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At NVIDIA, we are seeking exceptional engineers to join our autonomous driving teamto design, implement, and deploy cutting-edge end-to-end autonomous driving systems, running on NVIDIA chips in mass ...

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Autonomous Driving Engineer information

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$59K

$137.3K

$196.5K

How much do autonomous driving engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for autonomous driving engineer in the United States is $137,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $196,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Autonomous Driving Engineer position, and why are they important?

To thrive as an Autonomous Driving Engineer, you need strong expertise in robotics, computer vision, sensor fusion, and machine learning, generally backed by a relevant engineering or computer science degree. Familiarity with programming languages like Python or C++, frameworks such as ROS (Robot Operating System), and simulation tools like CARLA or MATLAB is typically required. Problem-solving, teamwork, and clear communication are important soft skills that help you excel when debugging complex systems and collaborating with multidisciplinary teams. These skills ensure the ability to develop innovative autonomous driving solutions that are safe, efficient, and effective in real-world environments.

What are some common challenges Autonomous Driving Engineers face on the job?

Autonomous Driving Engineers often work on highly complex systems where integrating hardware and software, ensuring sensor reliability, and maintaining safety standards can pose significant challenges. Collaborating across teams—such as hardware engineers, data scientists, and software developers—is a daily part of the role, requiring strong coordination and flexibility. Debugging scenarios in both real-world and simulated environments, handling vast datasets, and keeping up with rapidly evolving technology are also regular parts of the job. These challenges make the work both demanding and rewarding, offering continual learning and professional growth opportunities.

What is an Autonomous Driving Engineer job?

An Autonomous Driving Engineer develops software, algorithms, and systems that enable vehicles to drive autonomously. They work on perception, sensor fusion, path planning, and control systems using AI, computer vision, and robotics. Their role involves testing and refining autonomous systems in simulations and real-world environments to ensure safety and reliability.

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Autonomous Driving Engineer jobs near you
Senior Machine Learning Engineer, Perception - Autonomous Driving

Senior Machine Learning Engineer, Perception - Autonomous Driving

Nvidia

Santa Clara, CA

$122K - $168K/yr

Full-time

Posted 23 days ago

Job description

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world.

We are now looking for an extraordinary Senior Perception Engineer to develop and productize NVIDIA's autonomous driving solutions. As a member of our perception team, you will be driving E2E solutions for perception modules that are responsible for online mapping - including road layouts, lane structures, boundaries, crosswalks, and other traffic components critical for driving without reliance on HD maps. You will be challenged to improve robustness and accuracy as well as efficiency of the solutions to fully enable autonomous driving anywhere and anytime.

What You'll Be Doing:

  • Designing end2end solutions for Perception and AV stack to enable road network detections across various driving environments from complex intersections to rural curvy roads to multi-level highways.

  • Applied research and development of innovative deep learning models for lane graph construction, road boundary detection, traffic element recognition, and other static-world tasks.

  • Develop generalizable approaches to support diverse ODDs and Country/region expansion

  • Drive and prioritize data-driven development by working with large data collection and labeling teams to bring in high value data to improve perception system accuracy. Efforts will include data collection prioritization and planning, labeling prioritization, labeling efficiency optimization, so that value of data is maximized

  • Leverage data simulation and augmentation for solving extreme scenarios

  • Productize the developed perception solutions by meeting product requirements for safety, latency, and SW robustness.

What We Need to See:

  • Minimum Requirement: PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.

  • 2+ years of technical leadership demonstrating high technical and organizational complexity is a big plus.

  • Hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems, and proficiency in using deep learning frameworks (e.g., PyTorch).

  • Experience in data-driven development and collaboration with data and ground truth teams.

  • Strong programming skills in python and/or C++.

  • Outstanding communication and teamwork skills as we work as a tightly-knit team, always discussing and learning from each other.

Ways to Stand Out from the Crowd:

  • Proven expertise in developing generalizable perception solutions for autonomous driving or robotics using deep learning with cameras.

  • Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real time applications.

  • Proven expertise in deep learning backed up by technical publications in leading conferences/journals.

  • Expertise with Transformers, BEV architectures, and modern static-world perception techniques.Experience in working on similar online mapping and complex road detection problems is a big plus.

Intelligent machines powered by AI are no longer science fiction. GPU Deep Learning has made it possible for self-driving cars to learn, perceive, and reason about the world. NVIDIA GPUs power the algorithms that enable both static world understanding and scalable perception across global road systems. Join us and help define the future of reliable, data-driven autonomous driving.

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 June 8, 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.
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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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