Senior AI Safety Red Teamer

Sorry, this job was removed at 06:09 p.m. (CST) on Thursday, Oct 23, 2025
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2 Locations
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

At NVIDIA we tackle challenges no one else can solve. Our work in Networking and AI is transforming the world's largest industries and profoundly impacting society.

NVIDIA Networking product security team is looking for an outstanding technical AI red teamer with hands-on safety and security experience to help us improve the safety posture of AI models, systems and infrastructure. In this role you will reduce risk, threats, and vulnerabilities in NVIDIA networking AI products.

What you'll be doing:

  • Drive hands-on safety and security research on a range of AI and networking products.

  • Develop tools and processes to expose novel weaknesses in AI systems and preempt threats.

  • Participate in defining and ensuring AI development processes meet safety and security standards. 

  • Partner with cross-functional teams to understand needs and implement solutions.

  • Be a technical focal point across multiple teams and provide hands-on AI safety, security and engineering expertise.

What we need to see:

  • Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, Data Science, or a related field (or equivalent experience).

  • Demonstrated experience of 5+ years in AI safety/security and offensive cybersecurity.

  • Knowledge of AI (both model and infrastructure) vulnerabilities and effective mitigation strategies. 

  • In-depth understanding of LLM, MLLM, Generative AI, Agents and RAG workflows.

  • Proven Python programming expertise

  • Self-starter with a passion for growth, enthusiasm for continuous learning, and sharing findings across the team

  • Extremely motivated, highly passionate, and curious about new technologies.

Ways to stand out from the crowd:

  • Hands-on experience designing and building software products, including infrastructure and system design.

  • Knowledge of MLOps technologies such as containerization, orchestration, training/inference workflows.

  • Familiarity with ML libraries (PyTorch, TensorRT, or TensorRT-LLM). 

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you.

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 Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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