ZipRecruiter

Log In

1

Tesla Autopilot Engineer Jobs (NOW HIRING)

FieldAI

DevOps Engineer

Boston, MA · On-site

$57.25 - $78.50/hr

... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. Our R&D organization is ... Our success depends on exceptional AI researchers and engineers, as well as strong software ...

FieldAI

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 ...

FieldAI

Infrastructure Security Engineer

Irvine, CA · On-site

$110 - $150/hr

You will work closely with engineering teams to design, assess, and improve the security of ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

FieldAI

Sr. Software Engineer - Mission Autonomy

Irvine, CA · On-site +1

$100K - $200K/yr

Field AI is seeking an innovative Senior Software Engineer for Mission Autonomy to play a vital ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

FieldAI

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 ...

FieldAI

Software Engineer, DevOps

Irvine, CA · On-site

$115K - $170K/yr

... SRE, or related roles. * Strong experience with Kubernetes, Docker, and cloud-native ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

FieldAI

Field Service Engineer - Irvine, CA

Irvine, CA · On-site

$70K - $90K/yr

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 ...

FieldAI

Software Engineer, DevOps

Irvine, CA · On-site

$115K - $170K/yr

... SRE, or related roles. * Strong experience with Kubernetes, Docker, and cloud-native ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

FieldAI

Software Engineer, DevOps

Irvine, CA · On-site

$115K - $170K/yr

... SRE, or related roles. * Strong experience with Kubernetes, Docker, and cloud-native ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

FieldAI

Software Engineer, DevOps

Irvine, CA · On-site

$115K - $170K/yr

... SRE, or related roles. * Strong experience with Kubernetes, Docker, and cloud-native ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

FieldAI

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 ...

FieldAI

Software Engineer, DevOps

Irvine, CA · On-site

$115K - $170K/yr

... SRE, or related roles. * Strong experience with Kubernetes, Docker, and cloud-native ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

FieldAI

Software Engineer, Data Engineering

Irvine, CA · On-site

$115K - $170K/yr

About the Job Field AI is looking for a Data Engineer to build reliable data pipelines and ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

FieldAI

Humanoid Engineer, Manipulation

Irvine, CA · On-site

The Humanoid Engineer, Manipulation will develop, integrate, test, and improve manipulation ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

next page

Showing results 1-20

All JobsTesla Autopilot Engineer Jobs

Tesla Autopilot Engineer information

See salary details

$38K

$115.9K

$191.5K

How much do tesla autopilot engineer jobs pay per year?

As of Aug 26, 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 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?

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.

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.

Infographic showing various Tesla Autopilot Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Founding Security Engineer

San Francisco, CA • On-site

Success Matcher Recruitment
Recruiting and Staffing Services • 1 - 10 employees
Learn more about Success Matcher Recruitmentexternal

$230K - $300K/yr

Full-time

Posted 5 days ago

Job description

About the Company

Our client is a fast-growing, Sequoia-backed Series B AI startup ($100M+ raised, 20x YoY revenue growth) building an autonomous market research platform. Their AI system designs and conducts expert-level customer interviews across audio, video, and text, synthesizing responses into actionable insights in hours rather than weeks.

Trusted by top tech leaders and Fortune 500 enterprises including Google, Microsoft, Anthropic, and Nestlé the company manages voice, video, and device data for millions of participants globally. Founded by serial entrepreneurs alongside a world-class engineering team (with backgrounds from Jane Street, Tesla Autopilot, Harvard, and competitive programming medalists), they are scaling rapidly to transform qualitative research at scale.

About the Role

Seeking a Founding Security Engineer with 7+ years of experience who transitioned from a software engineering background into security. As the first dedicated security hire, you will report directly to the Co-Founder & CTO, building the security program from scratch and securing the entire LLM pipeline, multi-tenant cloud infrastructure, and product suite.

Key Responsibilities

  • Build Security Architecture: Define and build end-to-end security architecture across the LLM pipeline, cloud infrastructure, and product features.
  • Embed with Engineering: Work closely with engineering pods on threat modeling, code reviews, and secure design patterns for new features.
  • Harden Infrastructure: Strengthen multi-tenant isolation and partner with infrastructure teams on multi-region data residency.
  • Compliance & Audits: Manage penetration testing, vulnerability scans, internal IT access, and serve as the technical lead for enterprise customer security reviews.
  • Client Engagement: Serve as the security authority in conversations with enterprise security teams during vendor assessments.

Role Requirements

  • Experience: 7–15 years spanning software engineering and hands-on application/infrastructure security engineering.
  • Foundational Track Record: Proven experience building a security program from scratch at a high-growth technology company.
  • Education: Computer Science degree or equivalent technical degree.
  • Hard Skills: Expert-level threat modeling, vulnerability assessment, cloud security architecture (multi-tenant isolation), and strong code-reading/review skills.
  • Tech Stack: TypeScript, Threat Modeling, Vulnerability Discovery, Penetration Testing, Cloud/Infrastructure Security, IAM.
  • Location: Ability to work on-site 5 days a week in San Francisco, CA.