Senior Developer Relations, AI - Security
$184,000–$287,500 year
RemoteCalifornia, United States
Job Summary
Serve as the trusted technical advisor and champion for the developer ecosystem in the AI and Agentic Security industry. Guide security companies and startups through onboarding, integration, and co-innovation with NVIDIA's software stack to secure AI and Agentic environments. Map and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies. Collaborate cross-functionally with solution architects, engineering, and product teams to drive developer engagement and represent partner technical needs. Grow and activate developer communities around accelerated software, delivering technical talks, workshops, and hands-on sessions at conferences and hackathons. Surface developer sentiment and ecosystem trends to translate them into actionable intelligence for product direction and platform strategy.
Required Qualifications
- Bachelor's of Computer Science, Engineering, or a related field, or equivalent experience
- 8+ years of overall professional experience in the technology industry across software engineering, developer relations, or technical partnerships
- 3+ years of direct experience in AI or Agentic Security
- Proven experience leading, partnering, and scaling developer programs at major technology companies, preferably security companies
- Significant technical proficiency in high-performance computing, cloud, AI/ML, and/or security frameworks and libraries
- Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences, from engineers to executives
- Experience leading technical collaborations with engineering and product teams, including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops
- Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external partners across sales, legal, product, or marketing teams as needed
Desired Qualifications
- Hands-on experience designing, building, or optimizing cybersecurity vertical-specific solutions, such as data pipelines, AI models, AI agents, ML analytics, etc.
- Familiarity with advanced computing, AI, and/or accelerated computing platforms such as CUDA, Triton, NeMo, or DOCA
- Experience with AI/ML security, LLM application security, or applying AI to cybersecurity use cases
- Successful history of building and scaling developer communities and delivering impactful technical enablement programs
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