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Locum Autonomous Driving Engineer Jobs (NOW HIRING)

Nvidia

OR

$104K - $143K/yr

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 ...

Nvidia

OR · On-site

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 ...

AeroVect

Staff Autonomy Engineer

San Francisco, CA

If you have a passion for applying autonomous driving technologies to impact the flow of goods for millions of people, we want to talk to you! We are looking for a Staff Engineer who knows how to ...

AeroVect

Staff Autonomy Engineer

San Francisco, CA · On-site

If you have a passion for applying autonomous driving technologies to impact the flow of goods for millions of people, we want to talk to you! We are looking for a Staff Engineer who knows how to ...

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Locum Autonomous Driving Engineer information

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

As of Jun 7, 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
Senior Machine Learning Engineer, Perception - Autonomous Driving

Senior Machine Learning Engineer, Perception - Autonomous Driving

Nvidia

OR

$104K - $143K/yr

Full-time

Posted 21 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.
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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