Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Agentic AI @ 4
Agentic Systems @ 4
Claude Code @ 4
Codex @ 4
Software Development @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking a Senior Agentic AI Software Engineer to help understand evolving agentic AI workloads and engineer agentic AI systems. The role focuses on coding and research agents, reasoning models, parallel subagents, long-horizon tool use, and inference workload analysis.
Responsibilities
- Build agentic systems for coding and research domains internally.
- Architect systems that analyze inference workload dynamics of leading agentic harnesses under realistic conditions.
- Collaborate with teams leading software and hardware evaluation systems to improve evaluation quality.
- Analyze and collect data using a rigorous analytical approach.
Requirements
- Strong experience building AI agents.
- Familiarity with evaluating AI agent performance.
- Experience using coding agents such as Codex and Claude Code.
- A master's degree in Computer Science or a related field, or equivalent experience.
- At least 5 years of relevant software development experience.
- Recent experience in AI inference or agentic systems is a strong plus.
Preferred Qualifications
- Two or more years of experience building modern agentic systems or AI-backed systems.
- Open-source projects showcasing agentic AI applications.
Benefits
- Equity and employee benefits.
- NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.
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