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Autonomous Driving Engineer Jobs (NOW HIRING)

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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$137.3K

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How much do autonomous driving engineer jobs pay per year?

As of Aug 8, 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 as an autonomous driving engineer?

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?

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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What cities are hiring for Autonomous Driving Engineer jobs? Cities with the most Autonomous Driving Engineer job openings:
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Autonomous Driving Engineer jobs near you
Infographic showing various Autonomous Driving Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 65% Full Time, 32% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $137,309 per year, or $66 per hour.

Autonomous Driving Vehicle Controls Engineer

Quest Global

Northville, MI • On-site

$55 - $65/hr

Temporary

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Quest Global rating

7.8

Company rating: 7.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

240th of 443 rated engineering

Job description

Job Requirements
Who We Are:
Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.
We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we're eager to hear from you.
The achievers and courageous challenge-crushers we seek, have the following characteristics and skills:
What You will Do:
  • Design, develop, and enhance decision-making software functionalities for autonomous and intelligent systems, including operational recovery and dynamic replanning capabilities for L4 Autonomy
  • Develop and implement control logic, state machines, and fault management strategies to support safe and reliable system operation under normal and exceptional conditions for MRM executions.
  • Enhance existing software features and system commands based on integration, validation, and field-testing feedback.
  • Analyze data logs from complex software, embedded, and control systems to identify root causes of issues, evaluate system performance, and recommend corrective actions.
  • Support system recovery, operational continuity, and adaptive planning capabilities for highly automated platforms.
  • Perform software debugging, issue investigation, root cause analysis, and implement improvements based on test and validation results.
  • Conduct system integration, testing, calibration, and performance optimization activities. Analyze test data to improve system behavior and reliability.
  • Develop and execute unit, integration, and verification tests while ensuring adequate test coverage and validation of functional requirements.
  • Collaborate with cross-functional teams, including systems engineering, software development, quality assurance, and validation organizations to deliver robust solutions.
  • Ensure software and model quality through static analysis, coding standards compliance, model-based development best practices, and adherence to applicable functional safety and industry standards.
  • Work on code quality fixes of the embedded hardware using Polyspace and Simulink Check. Perform ISO 26262 model guideline compliance checks and conduct static code analysis using Polyspace while ensuring compliance with MAAB modeling guidelines.

What You Will Bring:
  • Master's degree in computer engineering, Electrical Engineering, Mechanical Engineering, Robotics, or related field.
  • Strong experience with MATLAB and Simulink.
  • Experience in Model-Based Design (MBD).
  • Experience developing embedded control algorithms.
  • Knowledge of autonomous vehicles or ADAS software development.
  • Experience with vehicle state machines and decision logic.
  • Familiarity with software debugging and root cause analysis.
  • Experience performing software integration and vehicle validation.
  • Knowledge of model quality standards including:
  • MAAB Guidelines
  • ISO 26262 Modeling Guidelines

Experience with:
  • Simulink Check
  • Polyspace
  • Simulink Test
  • Design Verifier
  • Strong analytical and problem-solving skills.

Nice To Have
  • Experience with ROS2 (Robot Operating System 2) middleware, including nodes, topics, services, and DDS-based communication for robotics/autonomy software integration

Pay Range: $55/hour-$65/hour
Compensation decisions are made based on factors including experience, skills, education, and other job-related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.
Work Requirements:
This role is considered an on-site position located in Northville, MI
  • You must be able to commute to and from the location with your own transportation arrangements to meet the required working hours.

Travel Requirements: Due to the nature of the work, no travel is required.
Benefits:
  • 401(k)
  • Dental insurance
  • Health insurance
  • Life insurance
  • Paid time off
  • Referral program
  • Vision insurance
  • Short/Long Term Disability

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