- Bachelor’s or equivalent experience in Computer Science, Engineering, or a related field.
- 5+ years of software engineering experience, with 2+ years working on AI/LLM-based solutions.
- Hands-on experience building agentic AI and autonomous agent systems, including tool use, multi-agent orchestration, and RAG pipelines.
- Strong experience with LLMs and their integration (OpenAI-compatible APIs, NVIDIA NIM, Hugging Face, or similar), prompt engineering, and evaluation.
- Strong proficiency in Python; experience with C#/.NET Core and ASP.NET Core for REST API development is a plus.
- Solid experience with Docker and Kubernetes, including deploying, scaling, and troubleshooting containerized workloads in production.
- Proven experience supporting applications at L3 level, including incident management, debugging, performance optimization, and root-cause analysis.
- Experience with CI/CD tools (GitHub Actions, Azure DevOps, GitLab CI, Jenkins) and Git-based workflows.
Ways to Stand Out from the Crowd
- Experience with GPU-accelerated workloads, NVIDIA AI Enterprise, NVIDIA NIM, Triton Inference Server, or NeMo.
- Familiarity with MCP (Model Context Protocol) and agent-to-agent communication patterns.
- Experience with LLM evaluation, guardrails, and safety frameworks.
- Contributions to open-source AI or infrastructure projects.
NVIDIA delivers competitive pay, a wide range of benefits, and the possibility to contribute to groundbreaking technologies. Join us in building the future of computing! Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/