ZipRecruiter

Log In

1

Autonomous Driving System Engineer Jobs (NOW HIRING)

Vertex Sigma Software

Systems Engineer

Foster City, CA · On-site

Sensor Systems Engineer Onsite in Foster City, CA | at least 3 days in office Minimal travel may be ... for our autonomous driving system. Develop and document nominal system requirements for the ...

AeroVect

Staff Autonomy Engineer

San Francisco, CA · On-site

We are looking for a Staff Engineer who knows how to bring world-class system design to autonomous driving systems in structured, low-speed environments. In this role, you'll lead, manage and scale ...

AeroVect

Staff Autonomy Engineer

San Francisco, CA · On-site

We are looking for a Staff Engineer who knows how to bring world-class system design to autonomous driving systems in structured, low-speed environments. In this role, you'll lead, manage and scale ...

AeroVect

Senior System Safety Engineer

New York, NY · On-site +1

... and autonomous driving. Our customers include some of the world's largest airlines and ground ... S. in Computer Science, Electrical Engineering, Systems Engineering, Robotics, or a related ...

AeroVect

Senior Planning Engineer (Autonomy)

San Francisco, CA · On-site

$123K - $169K/yr

We are looking for a Senior Planning Engineer who knows how to bring world class planner system design to autonomous driving systems in structured, low-speed environments. In this role, you'll own ...

Quantum-Systems GmbH

As Chief Engineer Autonomous Trucking, you are the technical owner of the entire program and you ... Outstanding technical depth across the full autonomous driving system: autonomy software ...

previous page

Showing results 41-60

All JobsAutonomous Driving System Engineer Jobs

Autonomous Driving System Engineer information

See salary details

$53.5K

$127.2K

$167K

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

As of Sep 9, 2026, the average yearly pay for autonomous driving system engineer in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What does an autonomous driving system engineer do?

An Autonomous Driving System Engineer is responsible for designing, developing, and testing the software and hardware systems that enable vehicles to drive themselves. They work on integrating sensors, such as cameras and lidar, with algorithms for perception, localization, planning, and control to ensure safe and reliable autonomous operation. These engineers collaborate with multidisciplinary teams to validate system performance, address safety concerns, and continually improve the technology. Their work is crucial in advancing self-driving vehicles from prototypes to real-world deployment.

What are the key skills and qualifications needed to thrive as an autonomous driving system engineer?

To thrive as an Autonomous Driving System Engineer, you need a strong background in computer science, robotics, or electrical engineering, with expertise in algorithms, perception, and control systems. Familiarity with technical tools such as ROS (Robot Operating System), Python/C++, sensor fusion frameworks, and experience with simulation platforms or automotive standards like ISO 26262 is typically required. Strong problem-solving abilities, effective teamwork, and clear communication distinguish top performers in this field. These skills ensure the safe, reliable, and innovative development of autonomous vehicle technologies in a rapidly evolving industry.

How do autonomous driving system engineers typically collaborate with cross-functional teams during the development process?

Autonomous Driving System Engineers frequently work alongside specialists in hardware, software, perception, mapping, and vehicle integration. Collaboration is essential, as engineers must coordinate with sensor experts, AI developers, and safety teams to ensure all system components function reliably together. Regular meetings, integration testing sessions, and shared development platforms are common to keep everyone aligned. This collaborative environment fosters innovation and ensures that system updates and new features are rigorously tested before deployment.

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

AspectAutonomous Driving System EngineerAutonomous Vehicle Software Engineer
CredentialsBachelor's or Master's in Robotics, Computer Science, or Electrical Engineering; experience with sensor integration and control systemsBachelor's or Master's in Software Engineering, Computer Science; focus on software development and algorithms
Work EnvironmentResearch labs, automotive companies, tech firms working on autonomous systemsSoftware development teams within automotive or tech companies
Industry UsageDesigning and integrating autonomous driving systems and hardwareDeveloping software components for autonomous vehicles

The Autonomous Driving System Engineer focuses on integrating hardware and developing control systems for autonomous vehicles, while the Autonomous Vehicle Software Engineer primarily develops software algorithms and applications. Both roles often collaborate but differ in their core responsibilities and skill sets.

What cities are hiring for Autonomous Driving System Engineer jobs?

Cities with the most Autonomous Driving System Engineer job openings:

What states have the most Autonomous Driving System Engineer jobs?

States with the most job openings for Autonomous Driving System Engineer jobs include:

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

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

Autonomous Driving System Engineer jobs near you

Systems Engineer

Foster City, CA • On-site

Vertex Sigma Software
See more jobs at Vertex Sigma Softwareexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Job description

Sensor Systems Engineer Onsite in Foster City, CA | at least 3 days in office Minimal travel may be required. We are seeking a highly motivated Systems Engineer to join our Sensors Team. In this role, your responsibility includes improving the requirement traceability of the existing sensor architecture as well as defining top-down requirements to guide investigation into the next generation sensor architecture. You will work closely with the autonomy system architects to synthesize the needs of the engineering, product, and safety teams to ensure our autonomous vehicles can operate safely and reliably in a wide range of real-world scenarios. The ideal candidate will have a strong background in systems engineering, a deep understanding of autonomous sensing systems, and a passion for solving complex technical challenges. Key Responsibilities: Identify, define, and analyze bounding use cases and challenging scenarios for our autonomous driving system. Develop and document nominal system requirements for the autonomy sensor suite (including cameras, radar, and lidar) based on your analysis. Perform trade studies and analysis to evaluate different system architectures and sensor configurations against known requirements. Collaborate with hardware and software teams to ensure that the system design meets the documented requirements. Create and maintain detailed technical documentation Present your findings to technical and non-technical audiences Required Qualifications: Bachelors or Masters degree in Engineering, Robotics, Physics, or a related field. 6+ years of experience in systems engineering, requirements analysis, or a similar role in the autonomous vehicle, aerospace, or robotics industry. Proven experience in defining and analyzing complex systems and scenarios. Strong understanding of sensor technologies, including cameras, radar, and lidar. Strong technical writing and communication skills Experience using Python or other high level languages (eg. Matlab) for analysis Ability to work effectively in a fast-paced, collaborative environment Preferred Qualifications: Familiarity with state-of-the-art perception and planning algorithms Familiarity with 3d modeling tools (eg. Blender) Experience with SQL Experience with Git

Benefits

Health Care Plan (Medical, Dental & Vision)

Life Insurance (Basic, Voluntary & AD&D)

Paid Time Off (Vacation, Sick & Public Holidays)

Training & Development

Retirement Plan (401k, IRA)

Free breakfast and lunch