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Kill Switch Engineer Jobs in California (NOW HIRING)

Nvidia

Autonomous Agent Engineer

Santa Clara, CA

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

NVIDIA

Autonomous Agent Engineer

Santa Clara, CA · On-site

$17.50 - $23.50/hr

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

Pilot.com

Senior Analytics Engineer

San Francisco, CA · On-site

$123K - $169K/yr

They are seeking a Senior Analytics Engineer to own their data foundation, architecting the ... kill switches) • Experience designing data platforms that non-data teams build self-serve ...

Pilot.com

Senior Analytics Engineer

San Francisco, CA · On-site

$123K - $169K/yr

They are seeking a Senior Analytics Engineer to own and architect their data foundation, ensuring ... kill switches) • Experience designing data platforms that non-data teams build self-serve ...

Pilot.com

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

They are seeking a Senior Analytics Engineer to own and architect their data foundation, ensuring ... kill switches) • Experience designing data platforms that non-data teams build self-serve ...

GeneFab

Bioprocess Specialist - CONTRACT

Alameda, CA · On-site

$40 - $50/hr

... and the engineering of highly sensitive kill switches for enhanced safety and control of cellular therapies. We are committed to an inclusive and diverse GeneFab. We believe that different ...

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Kill Switch Engineer information

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or cybersecurity can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes base salary, bonuses, and stock options, particularly in tech companies or startups with rapid growth.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as a senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles may involve leading projects, developing innovative algorithms, and working with cutting-edge tools like TensorFlow or PyTorch, often requiring extensive experience and specialized certifications.

What are the key skills and qualifications needed to thrive in the Kill Switch Engineer position, and why are they important?

To thrive as a Kill Switch Engineer, you need a strong background in cybersecurity, network engineering, and system architecture, often supported by a relevant degree such as computer science or information technology. Familiarity with intrusion detection systems (IDS), automated response tools, and certifications like CISSP or CEH is highly valued. Excellent troubleshooting skills, clear communication, and the ability to respond calmly under pressure are key soft skills for this position. These capabilities ensure swift, secure implementation of critical fail-safe mechanisms to protect organizational assets and maintain operational resilience.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, and systems engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries like technology or finance. Roles often require advanced certifications, leadership responsibilities, and working in competitive markets.

How much does a killswitch engineer make?

A killswitch engineer's salary typically ranges from $70,000 to $130,000 annually, depending on experience, location, and industry. Professionals with specialized skills in cybersecurity, embedded systems, or safety-critical environments may earn higher wages, especially with certifications and advanced knowledge of hardware and software security protocols.

What are some common challenges Kill Switch Engineers encounter in their day-to-day roles?

Kill Switch Engineers often face the challenge of designing and maintaining fail-safe mechanisms that must work flawlessly under emergency conditions, requiring robust testing and rapid response capabilities. They regularly collaborate with security teams, network administrators, and IT leadership to ensure the kill switch functions as intended and meets evolving compliance standards. Engineers must also stay proactive in updating protocols to address emerging cyber threats and minimize the risk of accidental triggers. The dynamic nature of the field means adaptability and continuous learning are critical for success.

What is a Kill Switch Engineer job?

A Kill Switch Engineer is responsible for designing, implementing, and maintaining emergency shutdown mechanisms for software, hardware, or network systems. These engineers ensure that critical systems can be safely and efficiently deactivated in case of security threats, software failures, or other emergencies. They work closely with cybersecurity teams, developers, and infrastructure engineers to integrate fail-safe mechanisms that protect data and infrastructure. Their role is crucial in industries like finance, defense, and telecommunications, where system integrity and security are top priorities.

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 are popular job titles related to Kill Switch Engineer jobs in California? For Kill Switch Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Kill Switch Engineer jobs in California look for? The top searched job categories for Kill Switch Engineer jobs in California are:
Kill Switch Engineer jobs near you
Infographic showing various Kill Switch Engineer job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.
Autonomous Agent Engineer

Autonomous Agent Engineer

Nvidia

Santa Clara, CA

Full-time

Posted 19 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 245 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

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

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