NVIDIA is the world leader in accelerated computing and artificial intelligence, and has been powering up Deep Learning, AI, accelerated data analytics, autonomous systems and robots around the world. NVIDIA's customers include global tech-titans and span multiple verticals such as Manufacturing, Retail, Automotive, Media and Entertainment, CSP, Healthcare, Telco and others. We are rapidly growing into various industries and verticals. We’re looking for a technical Developer Relations Manager to lead engagement with startups and software partners building AI agents and generative AI applications for the retail and media and entertainment industries. This role is a key member of the NVIDIA team that would manage our technical engagements in Retails and Media and Entertainment industries. In this role you will evangelize NVIDIA’s portfolio of technologies and accelerate its adoption among developers in this space. You should have a strong technical competence and the ability to be a leader who can function effectively and independently in a matrixed environment to groom and guide developers. What you will be doing: Act as the technical point of contact for startups and developers who are building native LLM and multi-modal applications or want to add AI Agents to their existing apps. Help developers leverage NVIDIA’s tools for Gen AI and LLMs—including Triton Inference Server, TensorRT-LLM, NeMo Framework, and CUDA-accelerated pipelines—to optimize model performance and scalability. Build and deliver sample applications, tutorials, and technical content that highlight best practices for building with LLMs and agentic workflows. Partner with solution architects to benchmark improvements and support performance tuning of LLM deployments across NVIDIA platforms. Guide startups throu
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Role overview
Job description
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join us!
NVIDIA is redefining what’s possible with AI, and our Relational Foundation Model team is at the forefront of that mission. We’re building a single, unified foundation model that understands the structure and relationships within any relational database or heterogeneous graph — a fundamentally new approach to enterprise AI. As an engineer on this team, you won’t just be fine-tuning existing models; you’ll be designing and experimenting with novel Transformer and GNN architectures that generalize across diverse relational schemas. Your work will directly impact real-world applications spanning recommendation systems, demand forecasting, fraud detection, and predictive maintenance — all powered by one extensible model. You’ll collaborate closely with researchers and engineers across the full ML lifecycle, from architecture exploration and large-scale training to post-training optimization and inference acceleration. This is a rare opportunity to contribute to foundational research that ships into production and shapes the modern data stack. If you’re excited about graph learning, relational reasoning, and building AI systems that go far beyond single-table benchmarks, this is the team for you.
What you’ll be doing:
Collaborate with researchers/engineers to enhance our Transformer and GNN-based models to operate seamlessly over any relational schema and heterogeneous graph.
Gain hands-on experience with high-impact use cases such as forecasting, entity matching, customer retention and fraud detection – all built on top of a single, extensible foundation model.
Leverage your knowledge in ML and AI to tackle real challenges while contributing to scalable and adaptable solutions that push the boundaries of what’s possible.
Work may span the full lifecycle of modern ML systems: from architecture design/training to post-training optimization and inference acceleration.
You will contribute to our next generation of the Relational Foundation Model.
What we need to see:
MS or PhD in Machine Learning, Computer Science, or equivalent program
Proficiency in Python and deep learning frameworks, such as PyTorch
At least 8 years of research experience in designing ML algorithm solutions
Practical experience in using Predictive Models in Real World Applications
Ways to stand out from the crowd:
Familiarity with graph-based machine learning; publications at venues such as NeurIPS, ICLR, ICML, or similar
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
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NVIDIA
We create the world’s fastest supercomputer and largest gaming platform.
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