Senior AI Security Engineer

Posted Oct 2

This is a fully remote position, open to applicants in United States.

📋 Description

• Conduct regular security assessments of Samsara’s software, code, and firmware.

• Assess resilience against AI-driven and adversarial threats and implement necessary fixes.

• Convert general AI security insights into specific application-security solutions for Samsara.

• Modify software security methodologies for hardware and embedded firmware applications.

• Develop and rigorously test AI-enhanced security tools and processes.

• Promote the adoption of essential security tools throughout the broader security organization.

• Collaborate with engineering, hardware teams, and leadership, including participation in VP-level threat modeling sessions.

• Act as Samsara’s primary authority on AI-related security risks.

• Establish and advance Samsara’s medium- and long-term strategy for the safe and effective integration of AI in security operations.

• Utilize cutting-edge AI/LLM tools for both offensive validation and defensive security measures.

• Advocate for and integrate Samsara’s cultural principles as the company expands globally.


⛳️ Requirements

• Over 8 years of experience in application security, vulnerability management, threat modeling, offensive security, or a related field.

• Proven impact and influence in implementing application fixes across a significant portion of an organization.

• Practical experience utilizing AI/LLM tools in real-world security workflows, including APIs, agents, or automation processes.

• Experience conducting technical security evaluations across both software and hardware/firmware environments.

• Background in creating secure coding solutions with engineers using programming languages like GoLang.

• Experience in developing AI and agentic solutions utilizing GitHub and AWS cloud services.

• Required experience in integrating, securing, or performing red-teaming on AI-enabled systems, including LLMs, agentic workflows, prompt injection, or adversarial testing.

• Familiarity with AI-specific attack strategies such as prompt injection, jailbreaks, and model/agent exploitation.

• Experience in constructing or validating security controls for agentic AI, RAG systems, or platforms integrated with LLMs.

• Proven track record of driving organization-wide security strategies or presenting technical findings to senior or executive stakeholders.

• Relevant industry certifications such as OSCP, GIAC, CISSP, or AWS certifications are preferred.


🏝️ Benefits

• Initial RSU grant with no vesting cliff.

• Continuous equity refresh opportunities linked to performance.

• Performance-based bonuses or variable pay.

• Above-market overall compensation.

• Flexible, employee-driven remote work model.

• Stipend for professional development.

• Comprehensive health insurance plans.

• Parental leave policies.

• Flexible working arrangements.

• Support for remote work.

• Option for in-person office work.

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