Hiring.Camp

Senior Retail Developer Relations Manager, Digital Commerce

Nvidia

·

Mar 29, 2026

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Location
US, CA, Santa Clara, United States of America · US, Remote
Workplace
Remote
Type
Full-time
Department
IT
Seniority
Manager
Source
Workday

Description

We are seeking a highly technical Senior Developer Relations Manager to join NVIDIA’s Retail team, focused on digital commerce. In this role, you will lead engagement with AI-native startups and software partners building next-generation retail applications. You will work directly with developers to help them build, optimize, and scale agentic AI solutions on NVIDIA! Identify high-potential AI-native retail startups and work hands-on with their developers to integrate NVIDIA’s software stack—including Nemotron models, Nemo Microservices, and NemoClaw—into their platforms. You will help improve performance, reduce inference cost, and accelerate production deployment of agentic AI applications.

What you'll be doing:

  • Act as the technical point of contact for startups and developers building agentic, multi-modal applications—or adding AI agents to existing platforms.

  • Engage with developers to use NVIDIA’s Agentic AI stack—including Nemo Microservices, Nemo Agent Toolkit, Dynamo, Nemotron models, and CUDA-accelerated pipelines—to improve performance and scalability.

  • Build and deliver sample applications, tutorials, and technical content that showcase protocols for LLMs and agentic workflows. 

  • Represent the voice of the developer by gathering feedback and influencing NVIDIA’s product roadmap and developer experience.

  • Support startups through integration and certification within NVIDIA partner programs.

  • Represent NVIDIA at industry events, developer meetups, VC forums, and hackathons to identify emerging startups and evangelize our Agentic AI strategy.

  • Partner with the Retail team to support startup go-to-market through strategic partnerships and participation in NVIDIA-led events.

What we need to see:

  • BS or MS in Computer Science, Engineering, or equivalent experience. 

  • 12+ years in Developer Relations, AI engineering, startup technical roles, or technical alliances. 

  • Hands-on experience building agent-based systems using frontier and open-source models (e.g., OpenAI, Mistral, Llama, Hugging Face, LangChain, RAG pipelines). 

  • Strong proficiency in Python, Docker, Kubernetes, and Linux-based environments. 

  • Excellent communication skills, with the ability to engage both technical and business audiences.

Ways to stand out from the crowd:

  • Experience with model fine-tuning, prompt engineering, memory architectures, and agent orchestration frameworks.

  • Proven ability to build and scale developer communities and drive adoption through technical programs.

  • Familiarity with NVIDIA technologies (NeMo, Nemotron, CUDA) and GPU-accelerated AI development.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and talented people on the planet working for us. If you're creative and autonomous, 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 3, 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.

Skills

PythonDockerKubernetesLinuxMicroservices

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