Responsibilities

• Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in the AI and Agentic Security industry, working with cross-functional partners to drive adoption of NVIDIA technologies.
• Identify opportunities to accelerate critical workloads by demonstrating solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines.
• Guide partners and startups through onboarding and integration with NVIDIA’s programs, fostering co-innovation and the development of next-generation solutions.
• Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.
• Collaborate cross-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.
• Represent and advocate for partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.
• Grow and activate developer communities around accelerated software, representing co-engineered products at conferences, meetups, and hackathons and delivering technical talks and hands-on workshops.
• Surface developer sentiment and ecosystem trends, translating them into actionable intelligence that informs product direction and platform strategy.

Requirements

• 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, including 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.

Preferred

• 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.

Benefits

• You will also be eligible for equity and benefits.