Senior Software Engineer, Agentic AI

NVIDIA

Senior Software Engineer at NVIDIA developing agentic AI systems. Leading design and implementations for high-performance code generation and evaluation methodologies.

Posted 8/3/2026full-timeRedmond • California, Washington • 🇺🇸 United StatesSenior💰 $152,000 - $241,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting agentic systems and developing evaluation frameworks for AI, with a strong focus on optimizing performance for large-scale distributed systems. Proficient in Python and systems programming languages, with a solid background in AI evaluation methodologies.

Highest-signal resume keywords

Architecting Agentic SystemsBuilding Large-Scale Production SystemsDeveloping AI Evaluation MethodologiesOptimizing Performance for NVIDIA GPU ArchitecturesProficient in Python and C++ or Rust

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonC++RustAI EvaluationDistributed SystemsCoding AgentsAgent PlatformsBenchmark DesignPerformance OptimizationOrchestration

Tools & Technologies

Claude CodeCursorCodexNVIDIA GPU Architectures

Industry Keywords

Agentic WorkflowsMulti-Step ReasoningSelf-CorrectionAutonomous Code GenerationCode Quality Standards

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).
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.

Benefits

Comp & perks

equity
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