Senior Software Engineer, Agentic AI

at Nvidia

USD 152,000-287,500 per year

SENIOR

✅ On-site

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 @ 7 Agentic AI @ 6 CUDA @ 4 Claude Code @ 4 Codex @ 4 Distributed Systems @ 4 GPU LLM @ 4 Leadership @ 6 Profiling @ 4 Python @ 6 Rust @ 6 SGLang @ 4 vLLM @ 4

Details

NVIDIA is seeking a Senior Software Engineer to join its Agentic AI High-Performance Code Generation team. The role focuses on building autonomous coding systems that use multi-step reasoning, self-correction, and autonomous code generation to produce high-performance software using NVIDIA's accelerated computing stack.

Responsibilities

Architect and implement sophisticated coding agents and agentic platforms.
Build and maintain high-performance, large-scale production systems for compute-intensive agentic workflows and AI evaluation.
Develop rigorous AI evaluation methodologies to measure the accuracy, safety, and efficiency of generated code and agentic logic.
Collaborate with hardware and software teams to optimize agent-generated code and supporting platforms for NVIDIA GPU architectures.
Establish engineering standards and best practices for code quality, testing, and deployment within the agentic AI ecosystem.

Requirements

Master's degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
At least 4 years of experience building and maintaining large-scale production systems.
Proven experience building coding agents or comprehensive agent platforms.
Direct experience developing skills and workflows using state-of-the-art coding agents and IDEs such as Claude Code, Cursor, or Codex.
Proficiency in Python and at least one systems programming language, such as C++ or Rust.
Strong background in AI evaluation, including designing benchmarks for complex, non-deterministic agentic behaviors.
Experience with distributed systems and orchestration for managing high-throughput AI workloads.

Preferred Qualifications

Experience writing CUDA kernels and profiling with Nsight Compute and Nsight Systems.
Hands-on experience optimizing and deploying with TRT-LLM, SGLang, vLLM, or Transformer Engine.
Demonstrated leadership building and scaling agentic AI applications in production environments.