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NVIDIA

Senior Software Engineer – Agentic AI

NVIDIA

Senior Software Engineer building autonomous systems for AI at NVIDIA. Lead design and optimization of coding agents and agentic platforms for high-performance applications.

Posted 4/29/2026full-timeRedmond • California, Washington • 🇺🇸 United StatesSenior💰 $152,000 - $241,500 per yearWebsite

Tech Stack

Tools & technologies
Distributed SystemsPythonRust

About the role

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

Requirements

What you’ll need
  • A MS in Computer Science, Computer Engineering, or a related field (or equivalent experience).
  • 3+ 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.

Benefits

Comp & perks
  • equity
  • benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score

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Hard Skills & Tools
PythonC++RustAI evaluation methodologiesagentic systems designdistributed systemsperformance optimizationcode quality standardsautonomous code generationmulti-step reasoning
Certifications
MS in Computer ScienceMS in Computer Engineering