2 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- Build complex agentic systems featuring multi-agent coordination, long-horizon reasoning, and advanced planning.
- Develop enterprise agents and high-performance retrieval pipelines spanning multiple data sources.
- Optimize inference performance using GPU-accelerated frameworks and NVIDIA’s AI infrastructure stack.
- Build hands-on proofs of concept and reference architectures for production-grade generative AI pipelines.
- Integrate NVIDIA software into enterprise ISV platforms and production workloads.
- Use implementation feedback to improve NVIDIA software.
- Lead technical workshops, architecture reviews, and developer enablement for partner engineering teams.
- Create reusable assets and documentation to help global field teams deploy agentic AI at scale.
Requirements
- BS, MS, or PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.
- 8+ years of experience in deep learning, machine learning, or distributed AI systems.
- Strong programming and debugging experience with Python, C/C++, and Linux environments.
- Experience with deep learning libraries such as PyTorch or TensorFlow.
- Hands-on experience building LLM and generative AI applications.
- Experience with agentic or multi-agent systems using orchestration frameworks such as LangGraph, LlamaIndex, CrewAI, LangChain, or OpenAI Agents SDK.
- Experience building tool-using AI agents that interact with APIs, databases, and enterprise systems.
- Ability to rapidly prototype AI applications and build scalable GPU-accelerated architectures.
- Preferred experience with NVIDIA GPUs, NIM, NeMo Framework, NeMo Retriever, NeMo Agent Toolkit, LLM evaluation, benchmarking, safety guardrails, model fine-tuning, reasoning-focused LLM optimization, and distributed GPU computing.
Benefits
- Equity and benefits are provided.
- Base salary varies by location, experience, and comparable employee pay; the posting lists Level 4 and Level 5 salary ranges.
- Applications are accepted at least until October 10, 2026.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.