Senior AI Security Research Engineer

About the role:

Samsara is building a brand-new role at the intersection of security engineering and applied AI. This person will be the most AI-forward technologist on our Application Security team — using frontier AI models to both strengthen our security posture and stress-test it. You'll spend one day using AI to red-team our cloud environment and the next validating firmware vulnerabilities on our hardware, with the goal to secure our applications for AI Adversaries. This is a highly visible, org-wide role reporting into a newly formed function, with a clear path to shape Samsara's AI security strategy for years to come.

This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact – helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. 

In this role, you will: 

• Deliver accurate, consistent security assessments of Samsara's software, code,  and firmware, evaluating their resilience against AI-driven/adversarial attacks, and implementing fixes. 
• Create and translate  general AI security findings into Samsara-specific fixes for our application security layer— including adapting techniques built for software to apply to hardware and embedded firmware.
• Build and pressure-test novel AI-enabled security tooling and workflows, then drive adoption of what proves valuable across the broader security org.
• Partner cross-functionally with engineering, hardware, and leadership (including VP-level threat modeling sessions) as Samsara's go-to expert on AI-related security risk.
• Help define & drive  Samsara's medium- and long-term strategy for adopting AI safely and effectively within security operations.
• Use frontier AI/LLM tools (e.g., Anthropic's and OpenAI's cybersecurity-specific programs) hands-on for both offensive validation (red-teaming our own systems) and defensive tooling — required experience integrating, securing, or red-teaming AI-enabled systems (e.g., LLMs, agentic workflows, prompt injection/adversarial testing) is essential to this role.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

• 8+ years of experience in application security, vulnerability management, threat modeling, offensive security, or a closely related discipline, with demonstrated application fix impact and influence across a large part of an organization.
• Hands-on experience applying AI/LLM tools to real security workflows (not just using AI as an end user) — e.g., building with APIs, agents, or automation to support security use cases.
• Experience conducting technical security assessments (e.g. offensive security or validation exercises) across both software and hardware/firmware environments.
• Experience in creating solutions for secure code with engineers using languages such as GoLang. 
• Experience developing AI and agentic solutions using Github, and developing within AWS cloud. 

An ideal candidate also has:

• Experience with AI-specific attack techniques (prompt injection, jailbreaks, model/agent abuse) for vulnerability management and application security.
• Experience building or validating security controls for agentic AI, RAG systems, or LLM-integrated platforms.
• A track record of driving org-wide security strategy or presenting technical findings to senior/executive stakeholders.
• Relevant industry certifications (e.g., OSCP, GIAC, CISSP) or AWS certifications.