Used Tools & Technologies
Not specified
Required Skills & Competences ?
Docker @ 6 Kubernetes @ 6 Linux @ 6 Python @ 6 Data Science @ 4 React @ 7 API @ 6 LLM @ 4 CUDA @ 4Details
We are seeking a Senior Developer Relations Manager with strong technical skills and proficiency in retail, CPG, and supply chain logistics. The ideal candidate will drive developer success and adoption of NVIDIA’s Generative AI platforms (NeMo, Triton Inference Server, TensorRT-LLM, cuOpt, CUDA pipelines). This role is ideal for an AI engineer with supply chain experience, a passion for developer advocacy, and an interest in technical storytelling.
Responsibilities
- Serve as the technical go-to for developers and startups building LLM, agentic AI, and multimodal solutions in retail, CPG, logistics, and warehouse automation.
- Help partners leverage NVIDIA’s LLM stack (NeMo, TensorRT-LLM, Triton Inference Server, cuOpt, CUDA pipelines) for inference optimization, fine-tuning, and real-time deployment.
- Build sample applications, demo pipelines, and technical guides showcasing agent-based reasoning, forecasting-to-action loops, and autonomous decision-making in intralogistics.
- Collaborate with solution architects to benchmark models, optimize runtimes, and scale deployments across NVIDIA platforms.
- Guide startups through integration and onboarding with NVIDIA partner programs and enable co-innovation of industry-specific applications.
- Represent NVIDIA at industry events, developer summits, and strategic partner meetings, evangelizing AI strategy to both technical and business audiences.
- Gather developer feedback to influence product and roadmap decisions for agent orchestration, LLM toolchains, and supply chain-specific AI features.
- Identify high-potential GenAI companies and support go-to-market initiatives via strategic alliances and technical enablement.
Requirements
- BS or MS in Computer Science, Engineering, Operations Research, or equivalent experience.
- 8+ years in AI engineering, developer relations, technical partnerships, or applied ML in logistics/supply chain domains.
- Deep knowledge of LLMs (e.g., LLaMA, Mistral, GPT, NeMo) and agentic frameworks (LangChain, AgentIQ, CrewAI, ReAct-style architectures).
- Proficiency in Python, containerization and orchestration (Docker, Kubernetes), RESTful APIs, and Linux-based development.
- Solid foundation in data science, forecasting models, OR-based optimization, and multimodal systems (vision + language).
- Ability to explain technical topics clearly, build compelling content, and drive developer engagement across channels.
Ways to stand out
- Hands-on experience with LLM-powered planning systems, agentic solvers, or orchestration for supply chain simulations.
- Contributions to open-source projects or developer toolkits in GenAI or logistics optimization.
- Familiarity with NVIDIA’s AI stack, including NeMo, Triton, TensorRT-LLM, cuOpt, TAO Toolkit, and Omniverse for digital twins.
- Experience designing multi-agent architectures, reasoning systems, or real-time AI copilots.
- Proven track record in scaling developer communities and launching high-impact technical enablement programs.
Compensation & Other Details
- Base salary range: 184,000 USD - 287,500 USD (determined by location, experience, and peer pay).
- Eligible for equity and benefits (see NVIDIA benefits page).
- Applications accepted at least until July 29, 2025.
Company & Culture
NVIDIA emphasizes creativity, autonomy, and forward-thinking engineering. The company is an equal opportunity employer committed to fostering a diverse work environment.