Senior Developer Relations Manager – Retail Industry at NVIDIA

Beijing, China

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Retail, Technology, AIIndustries

Requirements

BS or Masters in Computer Science, Engineering, or equivalent practical experience
8+ years in Developer Relations, AI engineering, startup GTM roles, or Technical Alliances
Deep hands-on experience with LLMs (e.g., Qwen, Deepseek, LangChain, RAG pipelines) and autonomous agent frameworks
Proficiency with Python, containerization tools (Docker, Kubernetes), and Linux-based development environments
Understanding of model fine-tuning, prompt engineering, memory architectures, tool use in agent systems, and orchestration frameworks
Excellent communication and storytelling skills—comfortable presenting to technical and business audiences
Ways to Stand Out
Experience in retail AI, Machine Learning and Deep Learning applications
Familiarity with advanced computing, AI, and/or GPU acceleration platforms (Triton Inference Server, TensorRT-LLM, NeMo Framework, and CUDA-accelerated pipelines)
Successful history of building and scaling developer communities and delivering impactful technical enablement programs

Responsibilities

Serve as the trusted technical advisor and champion for the developer ecosystem in Retail Industry, with multi-functional partners to drive adoption of NVIDIA technologies
Help developers leverage NVIDIA’s tools for GenAI 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, developer meetups, and hackathons—evangelizing our LLM and Agentic AI strategy to a technical audience
Gather developer feedback to inform product and roadmap decisions related to LLM inference, training, and deployment tooling
Identify promising Gen AI startups and help them go to market through co-branded solution development and strategic partnerships

Skills

Generative AI

LLMs

NVIDIA NVAIE

NeMo Framework

Triton Inference Server

TensorRT-LLM

CUDA

AI Agents

LLM Inference

Performance Tuning

Developer Relations

Ecosystem Building

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

Land your dream remote job 3x faster with AI

Try Jobo Free