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From Home Bug Finding Jobs (NOW HIRING)

Home Finding Specialist

Tempe, AZ

$16.25 - $21.50/hr

JOB SUMMARY The Home Finding Specialist serves as the initial point of contact for prospective ... What you can expect from us: * Competitive Compensation - Including performance-based bonuses that ...

Home Finding Specialist

Tempe, AZ · On-site

$16.25 - $21.50/hr

JOB SUMMARY The Home Finding Specialist serves as the initial point of contact for prospective ... What you can expect from us: * Competitive Compensation - Including performance-based bonuses that ...

Technical Program Manager, Bug Bounty

Seattle, WA · On-site

$146K - $190K/yr

Our mission is to raise the security bar across Amazon by learning from every bug We value clear ... Achieving success at work should never come at the expense of sacrifices at home, which is why ...

Our mission is to raise the security bar across Amazon by learning from every bug We value clear ... Achieving success at work should never come at the expense of sacrifices at home, which is why ...

... client homes and businesses. Responsibilities include but are not limited to the following ... Must posses a valid driver's license from state of residence. * Available to work Monday-Friday and ...

... client homes and businesses. Responsibilities include but are not limited to the following ... Must posses a valid driver's license from state of residence. * Available to work Monday-Friday and ...

Senior Security Engineer, Bug Bounty

$117K - $160K/yr

Experience analyzing code and systems to move from vulnerability → root cause → prevention ... One-time home office stipend * Annual professional development budget * Quarterly well-being ...

Senior Security Engineer, Bug Bounty

$117K - $160K/yr

Experience analyzing code and systems to move from vulnerability root cause prevention * Real-world ... One-time home office stipend * Annual professional development budget * Quarterly well-being ...

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How much do from home bug finding jobs pay per year?

As of Sep 1, 2026, the average yearly pay for from home bug finding in the United States is $61,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $79,500.00 per year, depending on experience, location, and employer.

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Senior Offensive Security Engineer, Automotive

Nvidia

Santa Clara, CA • On-site

$134K - $184K/yr

Full-time

Posted 19 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

NVIDIA's Automotive Offensive Security team believes the best defense is a good offense. Securing a sophisticated automotive operating system means finding vulnerabilities then building the tooling needed to find them at scale. We're looking for a senior engineer who can break low-level systems and then automate the insights gained from doing so into reusable security capabilities.

What you'll be doing: You'll discover and evaluate vulnerabilities on both source code and binaries, focusing on low-level technologies such as OS kernels, Hypervisor, boot ROMs, firmware, and hardware. More than just bug finding, you'll develop and build automation to scale your work. This includes security pipelines, fuzzing infrastructure, AI-assisted vulnerability discovery, tools for automated code inspection, and code conversion.

You'll work closely with security researchers and engineers, owning tool development - from prototype to production - for use across the software organization What we need to see: 7+ years of hands on programming experience, particularly with C/C++. Python and memory safe language (e.g. Rust, Ada/SPARK) proficiency a plus

B.S. or equivalent experience in Computer Science or a related field. Strong low-level systems security background: OS internals, kernels, hypervisors, firmware, or hardware; applying an analytical approach dissecting the functionality of intricate software and identifying security flaws

Experience with embedded software engineering. Deep understanding of foundational computer science concepts and security principles. Experience building automated security tooling: fuzzers, sanitizers, static/dynamic analysis at the source and binary level.

Knowledge of current operating system architectures and security frameworks, with a particular focus on Linux. Proven understanding of x86 and ARM architecture. Hands-on experience developing and building agentic AI systems: multi-agent orchestration, tool-use pipelines, and applying them to automate security or engineering workflows.

Ways to stand out from the crowd: Involvement in CTF competitions, bug bounty contributions, published security research, or personal software projects. Extensive experience with formal methods or memory-safe languages (e.g. Ada/SPARK, Rust, TLA+, Lean) for hardening low-level code and architecture

RISC-V knowledge is a strong plus. 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 August 16, 2026. This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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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Hours and flexibility

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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