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Freelance Kill Switch Engineer Jobs in California

Nvidia

Autonomous Agent Engineer

Santa Clara, CA · On-site

... kill switches Engineer auth integrations for workload identity, delegated tool access, and scope attenuation without static secrets Build observability and audit infrastructure: structured logs ...

Nvidia

Autonomous Agent Engineer

Santa Clara, CA · On-site

Embed security into SDK primitives like isolation policies, secrets injection, network policies, capability declarations, and kill switches * Engineer auth integrations for workload identity ...

GeneFab

Senior Process Engineer, MSAT

Alameda, CA · On-site

$150 - $185/hr

Senior Process Engineer, MSATGeneFab Alameda, California, United States About this position About ... kill switches for enhanced safety and control of cellular therapies. We are committed to an ...

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Freelance Kill Switch Engineer information

What is the difference between Freelance Kill Switch Engineer vs Freelance Cybersecurity Specialist?

AspectFreelance Kill Switch EngineerFreelance Cybersecurity Specialist
CredentialsTechnical certifications in security and network managementCertifications like CISSP, CEH, or CompTIA Security+
Work EnvironmentPrimarily technical roles involving hardware/software security measuresBroader cybersecurity tasks including threat analysis and system protection
Employer & Industry UsageUsed in industries needing rapid shutdown capabilities, such as manufacturing or techCommon across all sectors requiring cybersecurity expertise
Search & Comparison IntentOften searched for in context of security controls and emergency shutdownsCompared for overall cybersecurity roles and consulting

While both roles involve security, the Freelance Kill Switch Engineer specializes in implementing emergency shutdown systems, whereas the Freelance Cybersecurity Specialist focuses on protecting systems from threats. The former is more hardware and control system-oriented, while the latter covers a broader range of security measures across digital environments.

What are the most commonly searched types of Kill Switch Engineer jobs in California?

The most popular types of Kill Switch Engineer jobs in California are:

What cities in California are hiring for Freelance Kill Switch Engineer jobs?

Cities in California with the most Freelance Kill Switch Engineer job openings:

Freelance Kill Switch Engineer jobs near you

Autonomous Agent Engineer

Nvidia

Santa Clara, CA • On-site

Full-time

Re-posted 28 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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