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Autonomous Jobs in California (NOW HIRING)

We're building the infrastructure that lets AI agents operate autonomously and securely at NVIDIA. This role owns the execution environments, state management systems, and security boundaries that ...

Who we are Gatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply chain with its autonomous transportation-as-a-service (ATaaS) solution and prioritizing safe ...

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Autonomous Robotics Software Engineer (Robotics / Autonomy / C++) Advanced Robotics Group, LLC is seeking highly skilled Autonomous Robotics Software Engineers to join a small, high-performing team ...

The Autonomous Vehicle Depot Operator is responsible for the hands-on preparation and readiness of autonomous vehicles supporting Uber's robotaxi program. This role performs essential daily tasks ...

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The Autonomous Vehicle Test Operator is responsible for operating and evaluating a self-driving vehicle in autonomous mode, including collecting data and providing feedback, and offering ride hail ...

The Autonomous Vehicle Test Operator is responsible for operating and evaluating a self-driving vehicle in autonomous mode, including collecting data and providing feedback, and offering ride hail ...

The Autonomous Vehicle Test Operator is responsible for operating and evaluating a self-driving vehicle in autonomous mode, including collecting data and providing feedback, and offering ride hail ...

The Autonomous Vehicle Test Operator is responsible for operating and evaluating a self-driving vehicle in autonomous mode, including collecting data and providing feedback, and offering ride hail ...

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Showing results 1-20

Autonomous information

See California salary details

$31.6K

$48.5K

$67.1K

How much do autonomous jobs pay per year?

As of Jun 17, 2026, the average yearly pay for autonomous in California is $48,487.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $54,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Autonomous Vehicle Engineer, and why are they important?

To thrive as an Autonomous Vehicle Engineer, you need solid expertise in robotics, computer vision, machine learning, and a background in computer science or engineering. Familiarity with programming languages like Python and C++, as well as experience with ROS (Robot Operating System) and simulation tools, is typically required. Strong problem-solving skills, attention to detail, and effective teamwork set standout professionals apart. These abilities are crucial for developing safe, reliable autonomous systems that perform well in complex, real-world environments.

How does an Autonomous Systems Engineer typically collaborate with cross-functional teams during a project?

Autonomous Systems Engineers work closely with software developers, hardware engineers, data scientists, and project managers to design, test, and deploy autonomous technologies. Collaboration often involves regular team meetings, sharing technical documentation, and joint problem-solving sessions to ensure seamless integration of system components. Engineers may also coordinate with testing teams to validate system performance and safety, making effective communication and teamwork essential skills in this role.

What job makes $10,000 a month without a degree?

In the field of autonomous systems, roles such as autonomous vehicle software engineers or robotics specialists can earn $10,000 or more per month, especially with experience and specialized skills in programming, AI, and sensor integration. These positions often require expertise in coding languages like Python or C++, knowledge of machine learning, and familiarity with autonomous technology platforms.

What are autonomous jobs?

Autonomous jobs refer to roles or tasks that are performed independently, often with minimal supervision or direction. In the context of technology, autonomous jobs usually involve the use of artificial intelligence or robotics to carry out work without constant human intervention. These positions might include operating or overseeing autonomous vehicles, managing automated systems, or developing technologies that support automation. The goal is to improve efficiency, safety, and productivity by reducing the need for manual oversight. Careers in this field can span across industries such as transportation, manufacturing, logistics, and IT.

What jobs have a lot of autonomy?

Jobs with high autonomy include roles such as autonomous vehicle operators, freelance writers, software developers, and remote consultants. These positions often allow individuals to set their own schedules, work independently, and make decisions with minimal supervision. Skills in self-management, technical tools, and specialized knowledge are typically important in these roles.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, skilled tradespeople, and creative roles like writers and designers, are more likely to persist despite AI advancements. These roles often involve emotional intelligence, nuanced judgment, and hands-on skills that AI cannot easily replicate.

What does autonomous job mean?

An autonomous job refers to a role where employees have a high degree of independence in their tasks, often requiring self-management and decision-making. These positions may involve working with automation tools or in environments that emphasize flexibility and minimal supervision.
What are popular job titles related to Autonomous jobs in California? For Autonomous jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Autonomous jobs? Cities in California with the most Autonomous job openings:
Autonomous Agent Engineer

Autonomous Agent Engineer

Nvidia

Santa Clara, CA โ€ข On-site

Full-time

Posted 8 days ago


Job description

We're building the infrastructure that lets AI agents operate autonomously and securely at NVIDIA. This role owns the execution environments, state management systems, and security boundaries that make autonomous agents safe and reliable. The team designs and ships SDKs, CLIs, and developer tooling that turn complex sandboxing into a straightforward experience for agent builders and users across the company.

Today "sandbox" means different things to different teams: Docker containers, microVMs, or full virtual machines, each with different security guarantees. We need someone who can navigate these tradeoffs and build a unified developer experience on top of them. This work is greenfield! Many of the problems we're solving don't have existing industry solutions, and we want someone who is energized by that.

What you'll be doing:

The day-to-day is designing and building infrastructure that other engineers depend on:

  • Architect sandboxed compute environments where agents securely execute code, access tools, and interact with external services

  • Design and ship SDKs (Python, Go) and CLI tooling for provisioning and managing agent workloads in isolated environments

  • Create onboarding templates, reference implementations, and CLI workflows that make secure execution the default

  • Build state management for long-running agent operations, including checkpoint and recovery

  • Embed security into SDK primitives like isolation policies, secrets injection, network policies, capability declarations, and kill switches

  • Engineer auth integrations for workload identity, delegated tool access, and scope attenuation without static secrets

  • Build observability and audit infrastructure: structured logs, decision traces, security telemetry, and audit trails wired into enterprise monitoring

What we need to see:

  • BS or MS in Computer Science, Engineering, or related field (or equivalent experience)

  • 8+ years building distributed systems, infrastructure, or developer platforms at scale

  • Deep systems engineering skills: containers, microVMs, Kubernetes, Linux security primitives

  • Track record of shipping developer SDKs or CLIs that are adopted by multiple teams

  • Experience building agents using various frameworks and harnesses in enterprise context

  • Proficiency in Python, Go, Rust, or similar

Ways to stand out from the crowd:

  • Experience building execution environments for agentic AI systems or LLM applications that execute code autonomously

  • Experience with sandboxing and isolation technologies (gVisor, Firecracker, Kata Containers, V8 isolates, or similar)

  • Strong security fundamentals: threat modeling, auth, least privilege, secrets management

  • Designed multi-tenant execution platforms, serverless infrastructure, or sandboxed compute at scale

  • Background in durable execution patterns or checkpoint/recovery systems for long-running workloads

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993