Senior Software Engineer, Agentic Engineering

NVIDIA

Senior Software Engineer developing agentic workflows that automate code generation and testing for NVIDIA. Collaborating with engineering teams and applying ML expertise in a deep learning framework context.

Posted 6/30/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $184,000 - $356,500 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

develop a deep, shared understanding with NVIDIA's early-adopter engineering teams
identify the friction points where agentic workflows would have the highest impact
iterate with teams on proof points to validate or revise plans together
use technical judgment to distinguish durable architectural opportunities from "tech du jour" hype
agent-ify compiler infrastructure to enable autonomous agents to make high-dimensional optimizations
closed-loop validation on real hardware
integrate systems into git-native workflows and CI pipelines
contribute to cross-org collaborative group sharing reusable agentic methodology

Requirements

What you’ll need

MS in Computer Science, Engineering, or equivalent experience
6+ years of experience
Strong Python development skills
Working knowledge of GPUs or other highly data-parallel systems
Demonstrated projects or work experience using and supporting AI systems
Track record of shipping complex projects with minimal direction, including raising challenges or syncing at the right moments
Experience building tools or systems shaped by direct partnership with internal customer or user teams
Examples of leading technical work through changing requirements and revising direction when evidence demands it
Experience in one or more of the following areas: Multi-agent orchestration frameworks (e.g., LangChain, LangGraph) or LLM-based workflow automation
Compiler infrastructure, intermediate representations, or program transformation
Autonomous search or optimization over high-dimensional parameter spaces
Hardware-aware performance optimization for deep learning workloads
Code generation systems or domain-specific languages (DSLs)

Benefits

Comp & perks

equity
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Hard Skills & Tools

PythonAI SystemsMulti-Agent OrchestrationCompiler InfrastructureCode Generation SystemsDomain-Specific LanguagesPerformance OptimizationHigh-Dimensional OptimizationGit-Native WorkflowsCI Pipelines

Soft Skills

CollaborationTechnical JudgmentAdaptabilityProblem-SolvingCommunication

Certifications

MS in Computer ScienceEngineering Degree