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Autonomous Jobs in Milpitas, CA (NOW HIRING)

Nvidia

Autonomous Agent Engineer

Santa Clara, CA · On-site

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 ...

Nvidia

Autonomous Agent Engineer

Santa Clara, CA

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 ...

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How much do autonomous jobs pay per year?

As of Aug 31, 2026, the average yearly pay for autonomous in Milpitas, CA is $57,256.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,800.00 and $64,100.00 per year, depending on experience, location, and employer.

What is an autonomous job?

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 are the key skills and qualifications needed to thrive as an autonomous vehicle engineer?

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 categories do people searching Autonomous jobs in Milpitas, CA look for?

The top searched job categories for Autonomous jobs in Milpitas, CA are:

What cities near Milpitas, CA are hiring for Autonomous jobs?

Cities near Milpitas, CA with the most Autonomous job openings:

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Infographic showing various Autonomous job openings in Milpitas, CA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $57,256 per year, or $27.5 per hour.

Autonomous Agent Engineer

Santa Clara, CA • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer

Learn more about Nvidiaexternal

Full-time

Re-posted 23 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.
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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

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