Senior Software Engineer, Agentic Engineering

What you'll do

• Identify engineering bottlenecks and develop agentic workflows with early-adopter teams, validating and revising plans as requirements evolve.
• Build multi-agent systems, compiler and optimization workflows, and integrate them with git-native workflows and CI pipelines for real-GPU testing.
• Share reusable agentic methodologies across the organization.

What they ask for

• MS in Computer Science, Engineering, or equivalent experience.
• Strong Python development skills and working knowledge of GPUs or other highly data-parallel systems.
• Demonstrated projects or work experience using and supporting AI systems.
• Experience in at least one area: multi-agent orchestration or LLM workflow automation; compiler infrastructure or program transformation; high-dimensional autonomous search or optimization; hardware-aware deep learning performance; code generation or DSLs.

Nice to have

• Passion for ML hardware and emerging kernel programming techniques; experience building evaluation or testing harnesses for ML systems or multi-agent workflows.
• Experience building internal engineering tools or frameworks; ability to thrive in ambiguous, self-directed environments.

Pay

224,000 USD - 356,500 USD (base salary)

Tools

Python, GPUs, LangChain, LangGraph, LLM, git, CI

AI focus

Build and apply agentic AI workflows for code generation, testing, tuning, autonomous optimization, and engineering automation.