Map, track, and supervise the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.
Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.
Engage with partner engineering teams, technical leaders, and decision-makers to identify goals, solve technical challenges, and promote standard processes for successful integrations.
Represent and advocate for the partner's technical needs and provide feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.
What We Need to See
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
A minimum of 12+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience in your designated ecosystem (e.g., Telco, MarTech, etc.).
Validated experience leading, partnering, and rapidly growing developer programs at major technology companies, GSIs, or within relevant verticals, concentrating on next-generation generative AI and physical AI solutions.
Significant technical proficiency in high-performance computing, cloud, AI/ML, and/or vertical-specific frameworks and libraries.
Excellent social skills with the ability to distill sophisticated technical concepts for diverse technical and non-technical audiences, from engineers to executives.
Experience leading technical partnerships with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops
Shown ability to structure and implement sophisticated technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external partners (across sales, legal, product, or marketing teams as needed).
Ways to Stand Out from the Crowd
Production agentic AI: Shipping complex, vertical-specific multi-agent systems into real customer environments — including agent profiling, evaluation, and observability at scale.
Physical AI & spatial computing: Working at the intersection of generative AI and the physical world — multi-modality, robotics, spatial reasoning, digital twins, or edge AI using NVIDIA Omniverse, OpenUSD, Cosmos, Isaac, or GR00T.
Hands-on experience building or optimizing vertical-specific solutions (e.g., train/inference/tune AI Models, develop RAG pipelines, bidding algorithms, AI data pipelines, etc.).
Familiarity with advanced computing, AI, and/or GPU acceleration platforms (NVIDIA NVAIE, CUDA, Triton, NeMo, NIMs, DOCA, Omniverse, Physical AI solutions).
Successful history of building and scaling developer communities and delivering impactful technical enablement programs.
With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you!
- Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
- 224,000 USD – 356,500 USD for Level 5; and 272,000 USD – 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 6, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
