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$59K

$137.3K

$196.5K

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

As of Jul 22, 2026, the average yearly pay for locum 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 Locum Autonomous Driving Engineers?

Locum Autonomous Driving Engineers are professionals who temporarily fill engineering roles focused on the development, testing, and implementation of autonomous vehicle technologies. They often work on short-term contracts or as substitutes, providing expertise in areas such as sensor integration, perception algorithms, and vehicle control systems. Their flexible positions allow companies to address skill shortages or project-based needs in the rapidly evolving autonomous driving field. These engineers may work with automotive manufacturers, tech startups, or research institutions, contributing to advancements in self-driving car technologies.

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

AspectLocum Autonomous Driving EngineerAutonomous Vehicle Software Developer
CredentialsEngineering degree, specialized in autonomous systems, relevant certificationsComputer science or software engineering degree, programming certifications
Work EnvironmentTemporary assignments, testing sites, R&D labsOffice-based, software development teams, testing facilities
Employer & Industry UsageConsulting firms, testing companies, automotive OEMsTech companies, automotive manufacturers, startups

While both roles involve autonomous vehicle technology, a Locum Autonomous Driving Engineer typically works on temporary projects focusing on testing and deployment, whereas an Autonomous Vehicle Software Developer primarily develops and maintains software systems for autonomous vehicles. The roles overlap in technical skills but differ in scope and work setting.

What are the key skills and qualifications needed to thrive as a Locum Autonomous Driving Engineer, and why are they important?

To excel as a Locum Autonomous Driving Engineer, you need a strong background in robotics, computer vision, and software development, typically supported by a degree in engineering, computer science, or a related field. Familiarity with tools like ROS (Robot Operating System), simulation platforms (e.g., CARLA), and machine learning frameworks, as well as experience with automotive-grade safety standards, is vital. Outstanding problem-solving skills, adaptability, and effective teamwork enable rapid integration and contribution in dynamic project environments. These competencies ensure reliable development, testing, and deployment of autonomous vehicle systems, meeting both safety and innovation demands.

What types of projects or tasks might a Locum Autonomous Driving Engineer typically handle during a contract assignment?

As a Locum Autonomous Driving Engineer, you can expect to be brought in to support critical phases of ongoing autonomous vehicle development projects. Typical tasks include integrating and testing perception, planning, and control algorithms; debugging and troubleshooting sensor fusion issues; and supporting on-road or simulation-based validation activities. Since the role is contract-based, you'll often collaborate closely with multidisciplinary teams—such as software, hardware, and safety engineers—to quickly onboard and contribute to high-priority milestones. This dynamic environment requires adaptability and strong communication skills to ensure seamless transitions and knowledge sharing with permanent staff.
What cities are hiring for Locum Autonomous Driving Engineer jobs? Cities with the most Locum Autonomous Driving Engineer job openings:
What are the most commonly searched types of Autonomous Driving Engineer jobs? The most popular types of Autonomous Driving Engineer jobs are:
What states have the most Locum Autonomous Driving Engineer jobs? States with the most job openings for Locum Autonomous Driving Engineer jobs include:
Locum Autonomous Driving Engineer jobs near you
Principal Deep Learning Senior Engineer, End-To-End Autonomous Driving

Principal Deep Learning Senior Engineer, End-To-End Autonomous Driving

NVIDIA

Santa Clara, CA • On-site

$147K - $203K/yr

Full-time

Posted 4 days ago

Job description

Job Summary:
NVIDIA is seeking exceptional engineers to join their autonomous driving team to design, implement, and deploy cutting-edge end-to-end autonomous driving systems. The role involves building innovative large-scale models and collaborating with cross-functional teams to ensure the performance and reliability of AI models in production environments.
Responsibilities:
• Design and train innovative large-scale models—including generative, imitation, and reinforcement learning—to improve the planning and reasoning capabilities of our driving systems.
• Build, pre-train, and fine-tune LLM/VLM/VLA systems for deployment in real-world autonomous driving and robotics applications.
• Explore novel data generation and collection strategies to improve diversity and quality of training datasets.
• Collaborate with cross-functional teams to deploy AI models in production environments, ensuring performance, safety, and reliability standards are met.
• Integrate machine learning models directly with vehicle firmware to deliver production-quality, safety-critical software.
Qualifications:
Required:
• Hands-on experience building LLMs, VLMs, or VLAs from scratch or a proven track record as a top-tier coder passionate about autonomous systems.
• Deep understanding of modern deep learning architectures and optimization techniques.
• Proven record of deploying production-grade ML models for self-driving, robotics, or related fields at scale.
• Strong programming skills in Python and proficiency with major deep learning frameworks.
• Familiarity with C++ for model deployment and integration in safety-critical systems.
• Master's degree (or equivalent experience) with 13+ years of work experience in AV or related field or PhD with 11 years of work experience in AV or related field.
Preferred:
• Experience with LLM/VLM/VLA systems deployable to autonomous vehicles or general robotics.
• Publications, open-source contributions, or competition wins related to LLM/VLM/VLA systems.
• Deep understanding of behavior and motion planning in real-world AV applications.
• Experience building and training large-scale datasets and models.
• Proven ability to optimize algorithms for real-time performance in resource-constrained environments and strong track record of taking projects from concept to production deployment.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
Nvidia logo

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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