Senior AI Security Engineer

Dallas · Denver · USD 157,675-238,500 / year · 8+ years experience · Remote · Posted Oct 1, 2026

At a glance

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 the Application Security team, using frontier AI models to strengthen and stress-test the security posture.
The role involves red-teaming cloud environments and validating firmware vulnerabilities on hardware to secure applications for AI adversaries.

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 the 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 and drive Samsara's medium- and long-term strategy for adopting AI safely and effectively within security operations.
Use frontier AI/LLM tools hands-on for both offensive validation and defensive tooling.
Champion, role model, and embed Samsara’s cultural principles as the company scales globally and across new offices.

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, such as building with APIs, agents, or automation to support security use cases.
Experience conducting technical security assessments 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.
Required experience integrating, securing, or red-teaming AI-enabled systems.

Experience with AI-specific attack techniques 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 or AWS certifications.

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.
Flexible, employee-led remote model with open offices for those who prefer to work in-person.