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Autonomous Driving Software Engineer Jobs in California

DiDi

Software Engineer II

San Jose, CA · On-site

DiDi is a technology company focusing on autonomous driving solutions, and they are seeking a Software Engineer II to design and develop robotic simulation systems. The role involves creating ...

DiDi Labs

Software Engineer II

San Jose, CA · On-site

$135K - $182K/yr

Software Engineer II Job Location : San Jose, CA 95134 Salary: $135,960 - $182,520 Job duties ... Design and develop robotic simulation systems to verify autonomous driving algorithms before real ...

DiDi Labs

Software Engineer II

San Jose, CA

$135K - $182K/yr

Software Engineer II Job Location : San Jose, CA 95134 Salary: $135,960 - $182,520 Job duties ... Design and develop robotic simulation systems to verify autonomous driving algorithms before real ...

Seyond

Software Engineer

Sunnyvale, CA · On-site

The Senior Software Engineer will develop, optimize, and deploy perception algorithms and software for autonomous driving and advanced applications, utilizing edge AI platforms like NVIDIA Jetson.

Zoox

Software Engineer - Driving Behavior

Foster City, CA · On-site

$168K - $270K/yr

This role will be a part of a team to expand Zoox's autonomous mobility to new geofences. We are looking for a Software Engineer to improve and develop autonomous driving capabilities in new ...

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All JobsAutonomous Driving Software Engineer JobsAutonomous Driving Software Engineer Jobs in California

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, Training Efficiency

Senior Software Engineer, Training Efficiency

Waymo

Mountain View, CA • On-site, Remote

$238K - $302K/yr

Other

Posted 2 days ago

Job description

Senior Software Engineer, Training Efficiency

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 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Waymo ML Infrastructure team works with Research and Production teams to develop models in Perception and Planning that are core to our autonomous driving software. We help our partners by offering the best solutions for the entire model development lifecycle. These solutions are developed in close collaboration with teams at Google. They are geared towards both scaling models and solving problems unique to ML for autonomous driving. You will improve the runtime efficiency of input data pipelines for large-scale training workloads. This is a unique opportunity to work on ML systems and improve on our model training processes.

You Will:

  • Design, and improve distributed input data pipelines for large-scale ML training workloads.
  • Collaborate with researchers and ML engineers to resolve bottlenecks in data pipeline performance.
  • Improve runtime goodput of ML training workload, including optimizing input data processing systems, ensuring scalability and reliability across distributed environments.
  • Implement and maintain advanced ML infrastructure tools, including ML Pathways, Grain, JAX, and TensorFlow.
  • Evaluate and integrate modern technologies to enhance the performance and scalability of ML systems.
  • Promote best practices for distributed systems architecture and contribute to technical leadership within the team.

You Have:

  • B.S. in Computer Science, Math, or 5+ years equivalent real-world experience.
  • Proficient in distributed systems design with an understanding of ML data pipeline optimization.
  • Experience with ML frameworks, including TensorFlow and JAX.
  • Hands-on experience libraries like Grain or tf.data service.
  • Solid programming skills in Python and C++.
  • Practical familiarity with profiling tools to uncover performance bottlenecks.

We Prefer:

  • MS in Computer Science, Math
  • Familiarity with distributed dataflow frameworks like ML Pathways

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range $238,000—$302,000 USD

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