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Tesla Autopilot Engineer Jobs (NOW HIRING)

... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ... Our teams span AI, software, robotics engineering, product, field deployment, and technical ...

DevOps Engineer, Web Platform

Irvine, CA · On-site

$115K - $190K/yr

... Engineer, Web Platform FieldAI's Irvine team is where embodied AI meets real robots, real sensors ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

We're looking for a Software Engineer, Product to build and own customer-facing products at the ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

DevOps Engineer, Web Platform

Irvine, CA · On-site

$115K - $190K/yr

... Engineer, Web Platform to own release reliability, deployment systems, and production stability ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

DevOps Engineer, Web Platform

Irvine, CA

$56.50 - $77.50/hr

... Engineer, Web Platform to own release reliability, deployment systems, and production stability ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

... Engineer, Web Platform to own release reliability, deployment systems, and production stability ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

Applied AI Engineer

San Francisco, CA · On-site

$180K - $220K/yr

Daniel (Founding Applied AI Engineer) , formerly a Data Engineer on Tesla's Autopilot team and previously Lead Data Engineer at Replit. * Tom (Founding Designer) , who previously led product design ...

Software Engineer, ROS Developer

Irvine, CA · On-site +1

$70K - $300K/yr

As a ROS Developer , you will play a critical role in developing advanced robotic applications ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

Robotics System Engineer

Irvine, CA · On-site

$170K - $190K/yr

... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ... Our teams span AI, software, robotics engineering, product, field deployment, and technical ...

Robotics System Engineer

Irvine, CA · On-site

$170K - $190K/yr

... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ... Our teams span AI, software, robotics engineering, product, field deployment, and technical ...

Forward Deployed Engineer

Irvine, CA · On-site

$70K - $300K/yr

About the Job As a Forward Deployed Engineer at Field AI, you'll be at the forefront of bringing ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

As a ROS Developer , you will play a critical role in developing advanced robotic applications ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

Software Engineer, Web

Irvine, CA · On-site

$155K - $200K/yr

... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ... Our teams span AI, software, robotics engineering, product, field deployment, and technical ...

Software Engineer, ROS Developer

Irvine, CA · On-site +1

$70K - $300K/yr

As a ROS Developer , you will play a critical role in developing advanced robotic applications ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

AI Engineer

San Francisco, CA · On-site

$180K - $220K/yr

Daniel (Founding Applied AI Engineer) , formerly a Data Engineer on Tesla's Autopilot team, working on large-scale data systems and applied machine learning, and previously Lead Data Engineer at ...

We're looking for a Software Engineer, Product to build and own customer-facing products at the ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

Senior Software Engineer, MLOps

Irvine, CA · On-site

$131K - $173K/yr

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

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Tesla Autopilot Engineer information

See salary details

$38K

$115.9K

$191.5K

How much do tesla autopilot engineer jobs pay per year?

As of Jun 6, 2026, the average yearly pay for tesla autopilot engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is the difference between Tesla Autopilot Engineer vs Tesla Software Engineer?

AspectTesla Autopilot EngineerTesla Software Engineer
Required CredentialsBachelor's/Master's in Engineering, Computer Science, or related field; experience in autonomous systemsBachelor's/Master's in Computer Science or related; coding and software development skills
Work EnvironmentAutonomous vehicle systems, sensor integration, real-world testingSoftware development, coding, debugging, and system design
Industry UsageAutonomous driving, vehicle automationGeneral software development across various domains

Tesla Autopilot Engineers focus on developing and testing autonomous driving features, working closely with sensors and vehicle hardware. Tesla Software Engineers develop a broad range of software applications, including those used in Tesla vehicles but also in other tech areas. While both roles require strong programming skills, Autopilot Engineers specialize in autonomous systems, making their work more hardware and sensor-oriented.

What does a Tesla Autopilot Engineer do?

A Tesla Autopilot Engineer is responsible for designing, developing, and improving the autonomous driving features in Tesla vehicles. They work on advanced driver-assistance systems (ADAS), integrating software and hardware to enable vehicles to perceive their environment, make decisions, and drive safely with minimal human input. This role involves working with technologies such as computer vision, machine learning, sensor fusion, and real-time data processing. Collaboration with hardware engineers, software developers, and data scientists is also a key part of the job.

What are the key skills and qualifications needed to thrive as a Tesla Autopilot Engineer, and why are they important?

To thrive as a Tesla Autopilot Engineer, you need a robust background in computer science, robotics, or electrical engineering, with expertise in machine learning, computer vision, and autonomous systems. Familiarity with programming languages like Python and C++, experience with deep learning frameworks (e.g., TensorFlow or PyTorch), and knowledge of automotive sensors and embedded systems are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills help engineers excel in this innovative environment. These skills are crucial for developing safe, reliable, and advanced self-driving technologies that meet Tesla’s high standards for performance and safety.

What are some common challenges faced by Tesla Autopilot Engineers when integrating new features into the existing system?

Tesla Autopilot Engineers often encounter challenges related to ensuring new features are compatible with the complex, real-time systems already in place. Balancing innovative development while maintaining system reliability and safety is crucial, as any update must undergo rigorous testing and validation. Collaborating closely with hardware, software, and testing teams is essential to identify and resolve issues early, and to ensure seamless deployment to millions of vehicles worldwide. Additionally, engineers must stay current with advancements in AI and sensor technology to keep Autopilot at the forefront of industry standards.
Infographic showing various Tesla Autopilot Engineer job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Robotics System Engineer

FieldAI

Irvine, CA

Full-time

Posted 9 days ago


Job description

FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
What You Get to Do
  • Translate product goals, field learnings, and engineering assumptions into system-level, subsystem-level, interface, and platform requirements

  • Identify ambiguous, incomplete, or difficult-to-validate requirements and improve clarity and traceability

  • Develop system-level understanding of autonomy software, robotic platforms, operational constraints, and release workflows

  • Define interface expectations across autonomy software, sensors, compute, and platform behavior

  • Improve cross-component alignment and reduce integration risk through clearer ownership and interface definitions

  • Establish validation criteria, release readiness expectations, and measurable acceptance thresholds

  • Map requirements to validation methods, metrics, scenarios, and release evidence

  • Review field and integration learnings to identify recurring system-level issues and convert them into reusable validation cases or requirement updates

  • Partner cross-functionally with Autonomy, Robotics, Hardware, Simulation, Infrastructure, and Field teams to drive alignment on system behavior and release readiness

What You Bring
  • 8+ years of experience in robotics, autonomy, autonomous vehicles, mobile robots, humanoids, industrial robotics, or complex cyber-physical systems

  • Strong understanding of autonomy systems including perception, localization, planning, controls, sensors, compute, and platform integration

  • Experience defining system-level requirements, interfaces, validation criteria, or integration expectations for robotic or autonomous systems

  • Ability to translate engineering knowledge and field behavior into measurable requirements and release criteria

  • Strong systems thinking across software, hardware, operations, and deployment environments

  • Experience working cross-functionally with engineering teams and technical stakeholders

  • Strong written communication skills for requirements, interface definitions, architecture notes, and technical reviews

What Sets You Apart
  • Experience improving systems engineering, validation, release-readiness, or reliability processes for robotics or autonomy products

  • Experience with fielded robotic systems operating in real-world environments

  • Familiarity with ODDs, validation coverage, requirements traceability, or release acceptance frameworks

  • Familiarity with safety, fault handling, degraded modes, hazard analysis, or operational risk

  • Experience with simulation, log replay, HIL/SIL testing, automated evaluation pipelines, or field-data-driven validation

  • Comfort operating in fast-moving environments where rigor must remain practical and execution-oriented

Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.

Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.

Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.

Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.

We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.