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Tesla Autopilot Engineer Jobs (NOW HIRING)

What to Expect As an Autonomy Camera Software Engineer, you will work at the intersection of ... Develop, debug, and maintain high performance C/C++ software for Tesla's Autopilot and Humanoid ...

Infrastructure Security Engineer

Irvine, CA · On-site

$153K/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 ...

... 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 ...

About the Role As a Field Service Engineer , you will be a key technical link between FieldAI ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

About the Role As a Field Service Engineer, you will be a key technical link between FieldAI ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

Software Engineer, DevOps

Irvine, CA · On-site +1

$56.50 - $77.50/hr

... s Engineer to help build and scale the infrastructure powering our AI and robotics platforms. In ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

... 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 ...

About the Role As a Field Service Engineer , you will be a key technical link between FieldAI ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

About the Role As a Field Service Engineer , you will be a key technical link between FieldAI ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

Software Engineer, DevOps

Irvine, CA · On-site

$56.50 - $77.50/hr

... s Engineer to help build and scale the infrastructure powering our AI and robotics platforms. In ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

Software Engineer, DevOps

Irvine, CA · On-site +1

$56.50 - $77.50/hr

... s Engineer to help build and scale the infrastructure powering our AI and robotics platforms. In ... 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.
Camera Software Engineer, Tesla AI

Camera Software Engineer, Tesla AI

Tesla

Palo Alto, CA • On-site

$140K - $360K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

What to Expect

As an Autonomy Camera Software Engineer, you will work at the intersection of embedded systems, computer vision, and AI to drive the development of Tesla's imaging pipeline. Your primary focus will be to optimize camera software and overall system performance to deliver world-class image quality, critical for both neural network perception and human-facing displays.

In this highly collaborative role, you'll partner closely with hardware, computer vision, UI/UX, and system software teams to ensure Tesla's camera systems provide the most accurate and useful representation of the world. Your code will interface directly with image sensors, ISPs (Image Signal Processors), codecs, telemetry systems, and AI models, all executing on the Tesla AI compute platform.

You'll play a key role in developing and refining software that enhances image quality and system efficiency. This includes building tools to benchmark and characterize 3A (auto-exposure, auto-white balance, autofocus) and ISP configurations, and rigorously evaluating camera software frameworks to ensure performance, stability, and reliability. Your work will directly impact Tesla's mission to build fully autonomous vehicles and advanced robotics platforms like Optimus, where delivering a precise visual understanding of the world is essential.

What You'll Do
  • Develop, debug, and maintain high performance C/C++ software for Tesla's Autopilot and Humanoid Robot platforms, including work on high framerate camera and vision pipelines, GPU kernel development, system level performance profiling, and video codec optimization for large scale data collection
  • Design and refine advanced camera control systems and image processing algorithms to maximize visual fidelity and system responsiveness
  • Implement diagnostic algorithms that monitor camera and optical performance over time, integrating outputs with service tools and user facing interfaces to ensure long term reliability
  • Rapidly prototype and iterate on new features using simulation environments, hardware-in-the-loop testing, and fleet scale data insights
  • Define technical requirements and collaborate with cross functional teams, including manufacturing, vehicle systems, and service, to continuously improve optical performance, calibration robustness, and overall system reliability
What You'll Bring
  • Proficient in developing C/C++ software, including modern standards (C++14/17/20), multithreading, and Python; experience with CUDA or OpenCL is a strong plus
  • Deep understanding of digital camera systems, including color filter arrays, exposure control, sensor timing, driver development, and in-sensor HDR techniques; hands on experience with image sensor bring-up is highly valuable
  • Familiarity with ISP (Image Signal Processor) pipelines, low level drivers, and tuning workflows to optimize image quality across diverse conditions
  • Working knowledge of computer vision, machine learning, and their practical implementation in perception driven systems
  • Strong foundation in embedded software design with a focus on performance, using object oriented C++ to build reliable, low latency systems
  • Skilled in Linux based development environments, with experience targeting embedded Linux platforms and cross-compilation toolchains considered a plus
Compensation and Benefits Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

  • Medical plans > plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
  • Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
  • Company paid Basic Life, AD&D
  • Short-term and long-term disability insurance (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
  • Back-up childcare and parenting support resources
  • Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Weight Loss and Tobacco Cessation Programs
  • Tesla Babies program
  • Commuter benefits
  • Employee discounts and perks program
Expected Compensation $140,000 - $360,000/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.


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