Senior Software Engineer, Agentic AI

NVIDIARedmond, WA
$152,000 - $287,500

About The Position

NVIDIA is seeking a Senior Software Engineer to join our Agentic AI High-Performance Code Generation team. In this role, you will be at the heart of building autonomous systems that don't just suggest code—they engineer it at the highest levels of performance. We are seeking talented engineers with a robust background in agent design, AI evaluation, and distributed systems to help us redefine the software development lifecycle using NVIDIA’s world-class accelerated computing stack.

Requirements

  • A MS in Computer Science, Computer Engineering, or a related field (or equivalent experience).
  • 4+ years of experience building and maintaining large-scale production systems.
  • Proven experience in building coding agents or developing comprehensive agent platforms.
  • Direct experience developing skills and workflows using state-of-the-art coding agents and IDEs (e.g., Claude Code, Cursor, or Codex).
  • Proficient in Python and at least one systems programming language (C++ or Rust).
  • Strong background in AI evaluation and the ability to design benchmarks for complex, non-deterministic agentic behaviors.
  • Experience with distributed systems and orchestration to manage high-throughput AI workloads.

Nice To Haves

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

Responsibilities

  • Lead the design and implementation of sophisticated coding agents and agentic platforms capable of multi-step reasoning, self-correction, and autonomous code generation.
  • Build and maintain high-performance, large-scale production systems that handle the compute-intensive nature of agentic workflows and AI evaluation.
  • Create and implement rigorous AI evaluation methodologies to measure the accuracy, safety, and efficiency of generated code and agentic logic.
  • Collaborate with hardware and software teams to ensure agent-generated code and the underlying platforms are optimized for the latest NVIDIA GPU architectures.
  • Drive best practices for code quality, testing, and deployment within the agentic AI ecosystem to ensure reliable, production-grade output.

Benefits

  • equity
  • benefits
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