1 day ago
Base Salary
$184k - $357k/yr
Responsibilities
- Build and productize agentic AI systems that operate on GPU software artifacts.
- Own agentic services from prototype through evaluation, deployment, and continuous improvement.
- Develop LLM-powered pipelines for code generation, bug triage, regression detection, and test coverage analysis.
- Build the agentic knowledge layer and MCP-based infrastructure integrating with Gerrit, NVBugs, CI/CD, Perforce, and Slack.
- Establish agent-quality metrics and evaluations while analyzing precision, recall, false positives, and funnel performance.
- Partner with GPU software kernel engineers to identify automation opportunities and drive adoption of reliable agentic services.
Requirements
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, or equivalent experience.
- 8+ years of software engineering experience, including at least 2 years developing production LLM or agentic AI systems.
- Strong Python skills and experience with modern LLM frameworks such as LangChain or LlamaIndex.
- Hands-on experience with RAG pipelines, tool use or function calling, multi-step agentic services, and engineering at scale.
- Experience delivering and refining agentic AI systems in production.
- Strong software engineering fundamentals in system building, testing, observability, and scalable architecture.
- Strong analytical skills involving precision/recall tradeoffs, false-positive rates, and agent evaluation methods.
- Preferred experience includes code agents, GPU/driver/systems software, CUDA, kernel-mode software, MCP servers, tool-calling agents, multi-agent orchestration, open-source AI tooling, CI/CD systems, crash analysis, or automated regression triage.
Benefits
- Eligible for equity and benefits.
- Applications will be accepted at least until September 18, 2026.
Tech Stack
Categories
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.