Advise on the technical enablement resources—such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems
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 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 best practices for successful integrations.
Represent and advocate for the partner technical needs and 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 practical experience).
A minimum of 8+ 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 (Public Sector or Smart Spaces).
Proven experience leading, partnering, and scaling developer programs at major technology organizations in Public Sector, Local Gov, Smart Cities and Spaces ISVs, or within relevant verticals.
Significant technical proficiency in high-performance computing, cloud, AI/ML, and/or vertical-specific frameworks and libraries.
Hands-on experience building and customizing LLM, generative AI, RAG, or agentic AI applications in production or production-like environments.
Experience with agent harnesses, sandboxed execution, policy enforcement, OpenShell-like environments, or secure enterprise agent runtime build.
Experience with model customization or post-training techniques such as SFT, RL/RLHF/RLAIF, DPO or relevant equivalent experience, reward modeling, LoRA/PEFT, quantization-aware optimization, or model evaluation.
Excellent interpersonal skills with the ability to work in complex, matrixed environments and 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 stakeholders (across sales, legal, product or marketing teams as needed).
Ways to Stand Out from the Crowd
Hands-on experience with NVIDIA AI software such as NIM, NeMo Framework, NeMo Retriever, NeMo Guardrails, NVIDIA Agent Toolkit, Agent Skills, Dynamo, Nemotron, Blueprints, CUDA-X Libraries, Triton, TensorRT-LLM, or NIM Operator.
Understanding of AI Factory requirements including Server, Storage and Network infrastructure (Sizing, Installation, Power challenges etc..)
Experience building post-training pipelines for reasoning, tool use, domain adaptation, enterprise task performance, or agent behavior improvement.
Understanding of how a DevRel function can influence customers’ commercial purchasing decisions, with experience in—or exposure to—sales and pre-sales activities
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.
