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Self Driving Autonomous Engineer Jobs (NOW HIRING)

WME Express

Auto Test Driver

Richfield, MN · On-site

$26/hr

Eden Prairie, MN Pay: $26.00/hour Call 269-408-6738 7am to 6pm daily Job Overview Help monitor and operate autonomous (self-driving) vehicles during passenger service and testing. This is a safety ...

NVIDIA Corporation

$200 - $250/hr

... self-driving problems we are solving, and to break down these problems into a solution with prioritized technical requirements. * Interact directly with engineering leaders to convert those ...

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Self Driving Autonomous Engineer information

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$59K

$137.3K

$196.5K

How much do self driving autonomous engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for self driving autonomous 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 is a self driving autonomous engineer?

A Self Driving Autonomous Engineer is a professional who designs, develops, and tests the software and hardware systems that enable vehicles to operate without human intervention. Their work includes developing algorithms for perception, sensor fusion, path planning, and control systems that allow vehicles to detect their environment and make safe driving decisions. These engineers often collaborate with teams in machine learning, robotics, and automotive engineering to ensure that autonomous vehicles are safe, efficient, and reliable.

What are the key skills and qualifications needed to thrive as a self driving autonomous engineer?

To thrive as a Self-Driving Autonomous Engineer, you need a strong background in computer science, robotics, and machine learning, typically supported by a degree in engineering or a related field. Experience with programming languages like Python or C++, simulation tools, and frameworks such as ROS (Robot Operating System) and proficiency in working with sensor systems (LiDAR, radar, cameras) are essential. Strong problem-solving skills, teamwork, and effective communication make candidates stand out in this complex field. These skills and qualities are crucial for developing safe, reliable, and innovative autonomous vehicle technologies that meet real-world challenges.

How does a self driving autonomous engineer typically collaborate with cross-functional teams during a project?

Self Driving Autonomous Engineers regularly work with multidisciplinary teams, including software developers, hardware engineers, data scientists, and safety experts. Collaboration often involves participating in design reviews, integrating sensor data, and troubleshooting system performance issues. Effective communication is essential, as you may need to translate technical concepts for non-technical stakeholders and ensure that all components of the autonomous system work seamlessly together. This team-oriented approach fosters a dynamic environment and accelerates problem-solving during development cycles.

What is the difference between Self Driving Autonomous Engineer vs Autonomous Vehicle Software Developer?

AspectSelf Driving Autonomous EngineerAutonomous Vehicle Software Developer
Required CredentialsBachelor's/Master's in Robotics, Computer Science, or Electrical Engineering; experience with AI, sensor fusion, and control systemsBachelor's/Master's in Computer Science or Software Engineering; focus on software development, algorithms, and coding skills
Work EnvironmentResearch labs, automotive companies, tech firms working on autonomous systemsSoftware development teams within automotive or tech companies, often in office settings
Employer & Industry UsageAutomotive manufacturers, tech firms developing autonomous vehiclesAutomotive industry, tech companies, startups focusing on autonomous driving software

The Self Driving Autonomous Engineer typically has a broader role involving system integration, sensor data processing, and control algorithms, while the Autonomous Vehicle Software Developer mainly focuses on coding and software implementation. Both roles require strong technical skills but differ in scope and responsibilities within the autonomous vehicle development process.

What are popular job titles related to Self Driving Autonomous Engineer jobs?

For Self Driving Autonomous Engineer jobs, the most frequently searched job titles are:

Infographic showing various Self Driving Autonomous Engineer job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $137,309 per year, or $66 per hour.

Senior Machine Learning Engineer, Perception - Autonomous Driving

Santa Clara, CA • On-site

Nvidia Corporation
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidia Corporationexternal

$122K - $168K/yr

Full-time

Re-posted 23 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

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.
#AutonomousVehicles
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 September 2, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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