Help AI-native companies scale training and inference infrastructure, optimizing model performance, cost efficiency, and latency across NVIDIA accelerated computing platforms.
Guide startups through complex architectural decisions including model optimization, inference scaling, agent frameworks, multimodal pipelines, and real-time AI systems.
Collaborate closely with NVIDIA engineering, research, product, and go-to-market teams to identify emerging AI-native categories and influence NVIDIA’s platform roadmap.
Build strong relationships with founders, CTOs, and technical leaders across the AI-native ecosystem to ensure NVIDIA is the platform of choice for the most innovative AI companies.
Support the creation of reference architectures, AI blueprints, and best practices that enable AI-native companies to deploy scalable AI applications and agentic systems.
Partner with NVIDIA’s Industry Business Development teams, Solutions Architects, and Account Managers to accelerate adoption of NVIDIA technologies across high-growth AI-native companies.
What we need to see
BS/MS degree or equivalent experience in Computer Science, Engineering, or a related field.
5+ years of experience in software engineering, developer relations, solutions architecture, technical partnerships, or product management within AI, developer platforms, or large-scale software systems.
Hands-on experience building or scaling AI-powered products, developer platforms, or large-scale cloud services.
Strong expertise in machine learning infrastructure, model serving, distributed systems, and real-time AI applications.
Deep understanding of the modern AI stack including LLMs, agent frameworks, multimodal models, and inference optimization.
Proven ability to work closely with engineering teams and startup founders to influence product architecture and technical roadmaps.
Exceptional communication skills and the ability to explain complex AI systems to audiences ranging from engineers to startup founders and executives.
Experience working within fast-moving startup environments or supporting high-growth developer ecosystems.
Ways to Stand Out from the crowd
Experience working with AI-native startups building developer tools, AI copilots, agent platforms, search systems, or multimodal applications.
Hands-on experience optimizing LLM training or inference workloads using frameworks such as TensorRT-LLM, Triton Inference Server, CUDA, RAPIDS, or similar GPU acceleration technologies.
Experience building or scaling AI infrastructure platforms, developer tools, or agent frameworks used by large developer communities.
Demonstrated success working directly with startup founders and early engineering teams to shape product architecture and platform strategy while also helping them scale to full out platform companies.
Experience contributing to open-source AI frameworks or developer ecosystems.
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!
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 9, 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.
