Developer Relations Manager, Retail & Media Entertainment

Description

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 through integration with NVIDIA’s Gen AI stack and support their certification in NVIDIA partner programs.

Represent the company at industry events, in customer meetings, developer meetups, and hackathons—evangelizing our LLM and Agentic AI strategy to technical and industry audiences.

Gather developer feedback to inform product and roadmap decisions related to LLM inference, training, and deployment tooling.

Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.

What we need to see:

Bachelor's Degree in Engineering, Science, Technical or other related discipline or equivalent experience. Master's or Ph.D’s is preferred. Intellectual curiosity and passion for innovation.

Experience in verticals/industries with good knowledge and trends in the industry.

Expertise in CUDA programming, GPU platforms and Deep Learning and Machine Learning frameworks.

You will show a deep understanding of who and how to engage the developer’s product and engineering organizations with at least 8 years related experience.

5+ years’ experience in an AI and ML software development environment or working with developers in these areas; and at least 3 years’ experience in business development activities.

Able to work independently and possess excellent communication skills to drive customer and internal engagements.

Demonstrate ability to influence, evangelize and persuade at both operational and executive level (including engineering/ product management) to achieve a targeted outcome.

Execute and accelerate strategic decisions

Ability to effectively deliver value propositions for specific and targeted industries.

Ensure a positive experience for external customers and partners while working cross functionally within our organization.

Ways to stand out from the crowd:

Hands-on experience building or optimizing retail or media-specific solutions.

Proven expertise in influencing and inspiring non-technical, C-level decision-makers.

Strong industry knowledge; direct experience in Retail, Media & Entertainment in EMEA.

Familiarity with advanced computing, AI, and/or GPU acceleration platforms including CUDA, Triton and NeMo.

Track record in designing and implementing systems for real-time processing and low-latency decision-making.