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Autonomous Systems Jobs in California (NOW HIRING)

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Role Overview The Autonomous Systems Validation Operator plays a critical role in the development, testing, and safety validation of advanced self-driving and autonomous vehicle technology. Operating ...

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Role Overview The Autonomous Systems Validation Operator plays a critical role in the development, testing, and safety validation of advanced self-driving and autonomous vehicle technology. Operating ...

Robotics & Autonomy Systems Architect

Santa Clara, CA · On-site

$200 - $500/hr

  • Medical

  • Dental

  • Vision

  • PTO

You will analyze the architecture of robotics and autonomous systems--from sensors and perception pipelines to planning, control, and onboard compute--and help translate these requirements into ...

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Autonomous Systems information

See California salary details

$45.4K

$100.7K

$151K

How much do autonomous systems jobs pay per year?

As of Aug 20, 2026, the average yearly pay for autonomous systems in California is $100,730.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $123,400.00 per year, depending on experience, location, and employer.

What is an autonomous system?

An Autonomous Systems job involves designing, developing, and maintaining self-operating technologies, such as drones, self-driving cars, and robotic systems. Professionals in this field work on AI, machine learning, sensor fusion, and control systems to enable machines to make decisions and operate without human intervention. Roles may include software engineers, roboticists, and data scientists, often collaborating to improve system reliability and efficiency. These jobs are common in industries like defense, transportation, manufacturing, and healthcare.

What are the key skills and qualifications needed to thrive in an autonomous systems position?

To excel in an Autonomous Systems role, candidates typically need expertise in robotics, computer vision, control systems, and programming languages such as Python or C++, often supported by a degree in engineering, computer science, or a related field. Familiarity with tools like ROS (Robot Operating System), simulation platforms, and relevant certifications (e.g., in AI or machine learning) is highly valued. Strong problem-solving skills, adaptability, and effective teamwork enhance performance in this multidisciplinary environment. These abilities are essential for innovating, troubleshooting, and successfully deploying autonomous solutions in real-world settings.

What are some common challenges faced by professionals working in autonomous systems?

Professionals in Autonomous Systems often encounter challenges related to integrating complex hardware and software, ensuring system reliability in dynamic environments, and maintaining safety and compliance with industry standards. Debugging and testing autonomous solutions can be demanding due to unpredictable real-world variables and evolving technical requirements. Collaboration with cross-functional teams is crucial, as roles often involve coordinating with engineers, data scientists, and product managers. Successfully navigating these challenges helps drive innovation and ensures the successful deployment and operation of advanced autonomous technologies.

What career pathways exist in autonomous systems?

Career pathways in autonomous systems include roles such as autonomous systems engineer, robotics engineer, software developer, sensor integration specialist, and systems analyst. These positions often require skills in programming, control systems, machine learning, and experience with tools like ROS or MATLAB. Opportunities exist in industries like automotive, aerospace, defense, and research institutions.

What do autonomous systems engineers do?

Autonomous systems engineers design, develop, and test systems that enable machines or vehicles to operate independently, such as self-driving cars or drones. They work with robotics, sensors, control algorithms, and software integration, often using programming languages like C++ or Python and tools such as simulation environments. Their role involves ensuring safety, reliability, and efficiency of autonomous operations through rigorous testing and system optimization.

What are the most commonly searched types of Autonomous Systems jobs in California?

The most popular types of Autonomous Systems jobs in California are:

What are popular job titles related to Autonomous Systems jobs in California?

For Autonomous Systems jobs in California, the most frequently searched job titles are:

What job categories do people searching Autonomous Systems jobs in California look for?

The top searched job categories for Autonomous Systems jobs in California are:

Infographic showing various Autonomous Systems job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $100,730 per year, or $48.4 per hour.

Autonomous Systems Validation Operator

Kett Engineering

San Francisco, CA • On-site

$30 - $33/hr

Temporary

Posted 9 days ago

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Job description

Kett Engineering is working with a major EV manufacturer, and we are hiring multiple Autonomous Systems Validation Operators on 1st and 2nd shift in San Francisco, CA. This is an extended data collection and validation project and excellent opportunity to engage with where autonomous vehicle technology is going.


Role Overview

The Autonomous Systems Validation Operator plays a critical role in the development, testing, and safety validation of advanced self-driving and autonomous vehicle technology. Operating at the intersection of hands-on vehicle testing and systems engineering, this role is responsible for driving, evaluating, and troubleshooting prototype vehicles equipped with cutting-edge autonomous software and hardware suites.

You will execute precise test procedures across public roads and private testing tracks, gather crucial data streams for engineering analysis, and provide detailed operational feedback to accelerate the deployment of safe autonomous driving features.


Key Responsibilities

  • Safely operate prototype test vehicles in autonomous, semi-autonomous, and manual modes across diverse traffic, road, and weather conditions for up to 8 hours daily.
  • Maintain constant vigilance and situational awareness; execute safety protocols and intervene or manual disengage seamless when necessary to ensure complete vehicle safety.
  • Perform pre-defined autonomous test cases, edge-case evaluations, and specialized driving scenarios on both public roads and closed-course test facilities.
  • Identify, isolate, and debug hardware, software, and sensor platform anomalies using system diagnostic tools.
  • Work directly with hardware and software engineering teams to communicate system behavior, reproduce edge cases, and escalate critical issues via online ticketing systems.
  • Manage onboard logging equipment, record system performance data, and verify data transfer for engineering analysis.
  • Perform and verify Over-The-Air software updates and system flashes across vehicle ECUs and autonomous control units.
  • Conduct vehicle pre-trip inspections, basic system checks, and sensor calibration/setup prior to test routes.
  • Compose clear, concise, and thorough post-drive reporting, operational logs, and safety feedback for cross-functional stakeholders.


Minimum Qualifications

  • Must hold a valid Driver's License in the state of residence.
  • Clean driving record: No suspensions/revocations within the last 3–5 years.
  • No drug or alcohol-related driving incidents within the last 3 years.
  • No more than 1 serious moving violation within the last 3 years.
  • Willingness to undergo continuous Motor Vehicle Record (MVR) monitoring.
  • Minimum age of 21 years.
  • Prior professional automotive driving, vehicle fleet operations, or autonomous vehicle (AV) testing experience.
  • Ability to maintain focus while operating or monitoring autonomous vehicles independently or with a partner for 6–8 hours per day.
  • Ability to travel up to 50% for off-site field testing and trips.
  • Flexibility to work overtime, non-standard shifts, or weekends as needed.
  • Proficiency with laptops, smartphones, and collaboration software (Google Docs, Sheets, Maps).
  • Strong written and verbal communication skills; ability to concisely articulate technical events and system anomalies.
  • Sound judgment, strong organizational skills, and composure in high-stress or fast-paced testing environments.
  • Ability to lift and maneuver up to 50 lbs.


Bonus Skills

  • Hands-on experience with Jira or equivalent engineering ticketing platforms.
  • Demonstrated proficiency in troubleshooting, flashing, and debugging embedded automotive software and CAN/hardware networks.
  • Experience operating 16 ft+ commercial vehicles, medium-duty trucks, or large fleet platforms.
  • Valid Class A or Class B Commercial Driver's License (CDL).

Company Description

Established in 1953, Kett Engineering is a leader in the Automotive Test and Personnel Services industry. Our goal is to provide our Automotive and OEM customers with superior service.

The strength and success of Kett clearly comes from the people behind the organization. Our workforce is comprised of dedicated, talented and hard working individuals with years of industry experience.

If you have an interest in automotive technology industry, a passion for excellence and a desire to exceed expectations then, we want you on are our team!