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Autonomous Driving Software Engineer Jobs in California

Optimize the deployment of autonomous driving software to embedded systems and onboard computing ... Proficiency in C/C++ programming * Write robust, reliable codes Preferred : * Experiences in Sensor ...

Senior Software Engineer, Planner Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in ...

Senior Software Engineer, Planner Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in ...

Onboard Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Optimize the deployment of autonomous driving software to embedded systems and onboard computing ... Proficiency in C/C++ programming * Write robust, reliable codes Preferred : * Experiences in Sensor ...

Stay updated on the latest advancements in autonomous driving, LiDAR technologies, and edge AI platforms. * Identify customer requirements and translate them into software engineering specifications ...

Software Engineer

Sunnyvale, CA · On-site

$100K - $200K/yr

Stay updated on the latest advancements in autonomous driving, LiDAR technologies, and edge AI platforms. * Identify customer requirements and translate them into software engineering specifications ...

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Autonomous Driving Software Engineer information

What does an Autonomous Driving Software Engineer do?

An Autonomous Driving Software Engineer designs, develops, and tests software systems that enable vehicles to drive themselves safely and efficiently. They work on algorithms for perception, sensor fusion, planning, control, and decision-making, ensuring vehicles can interpret their environment and make real-time driving decisions. These engineers collaborate with hardware teams, use machine learning techniques, and rigorously test their code in simulations and real-world scenarios to meet safety standards.

How does an Autonomous Driving Software Engineer typically collaborate with hardware and testing teams during a project?

As an Autonomous Driving Software Engineer, you will work closely with hardware engineers and testing teams to ensure seamless integration between software algorithms and physical vehicle components. Regular joint meetings and iterative testing sessions are common, where you’ll align on sensor requirements, data collection, and address real-world performance issues. Effective communication and a collaborative mindset are key, as you’ll often troubleshoot issues that cross the boundaries between software logic and hardware behavior. This multidisciplinary interaction not only enhances your technical skills but also provides valuable exposure to the broader autonomous vehicle development process.

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

AspectAutonomous Driving Software EngineerVehicle Software Engineer
Required CredentialsBachelor's/Master's in Computer Science, Robotics, or Electrical Engineering; experience with AI, perception, and sensor integrationBachelor's/Master's in Software Engineering or related; focus on embedded systems and vehicle control software
Work EnvironmentResearch labs, automotive companies, tech firms developing autonomous systemsAutomotive manufacturing plants, OEMs, suppliers working on vehicle control systems
Industry UsagePrimarily in autonomous vehicle development and testingIn traditional vehicle control, infotainment, and embedded systems

Autonomous Driving Software Engineers focus on developing software for self-driving systems, including perception, decision-making, and sensor integration. Vehicle Software Engineers work on broader vehicle control systems, including embedded software for engine management, infotainment, and safety features. While both roles require strong software skills, Autonomous Driving Software Engineers specialize in AI and sensor data processing, whereas Vehicle Software Engineers focus on embedded systems within vehicles.

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

To thrive as an Autonomous Driving Software Engineer, you need strong proficiency in C++ and Python, a solid understanding of robotics, computer vision, and machine learning, and typically a degree in computer science, robotics, or a related field. Experience with ROS (Robot Operating System), simulation tools like CARLA, and familiarity with automotive safety standards such as ISO 26262 are highly valued. Problem-solving ability, teamwork, and effective communication are crucial soft skills in this position. These competencies ensure the development of safe, reliable, and innovative autonomous driving systems in a collaborative and high-stakes environment.
What cities in California are hiring for Autonomous Driving Software Engineer jobs? Cities in California with the most Autonomous Driving Software Engineer job openings:
Senior Software Engineer, Simulation Engine

Senior Software Engineer, Simulation Engine

General Motors

Sunnyvale, CA • On-site, Remote

$148K - $226K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


General Motors rating

8.1

Company rating: 8.1 out of 10

Based on 304 frontline employees who took The Breakroom Quiz

5th of 44 rated automakers


Job description

Job Description

The Simulation group is solving one of self-driving’s most difficult problems: evaluating the performance of the autonomous driving software stack before it reaches public roads.

As a software engineer on the Simulation Engine team, you will drive the development of our simulation frameworks that enable high-fidelity and high-performance validation of the autonomy stack, as well as the gym environment for reinforcement learning model training. We are looking for an engineer passionate about providing the best developer experience, and who can effectively drive collaborations across large engineering organizations. This role will lead you to learn the ins and outs of our autonomous driving software stack, simulation frameworks, and RL model training.

Required Skills

  • BS, MS, or PhD in Computer Science, Robotics, Machine Learning or equivalent experience

  • 5+ years relevant industry experience

  • Strong programming skills in C++ and Python.

  • Clear track record of effective collaboration with customers and continuous delivery of quality results in a hybrid or remote workplace. Comfortable collaborating across large engineering organizations.

  • Passion for safe, fully-electric, self-driving technology and its impact on the world

Desired Skills

  • Experience with building or extending AV/Robotic simulation

  • Experience working on game engines such as Unity, Unreal Engine, or PhysX.

  • Experience with reinforcement learning, gym environment, or LLM.

  • Strong programming skills in modern C++ and Object-oriented Design.

Compensation:

  • The expected base compensation for this role is: $148,000 - $226,200. Actual base compensation within the identified range will vary based on factors relevant to the position.

  • You also need to include general information about potential commissions, if applicable.

  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

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Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click “Apply Now” on the job posting of interest.

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


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About General Motors

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General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908