Software Engineer, Kernel Performance & AI Tooling

Job summary

Responsibilities

We are looking for a systems-minded engineer to help advance our kernel development, performance engineering, and hardware-software co-design capabilities, with a particular focus on AI-assisted workflows and tooling.

• Build developer tooling and workflows that make kernel development and performance optimization faster, more scalable, and easier to debug, integrate, and deploy.
• Develop observability, diagnostics, and validation infrastructure that makes AI-assisted optimization systems more interpretable, reliable, and effective.
• Optimize production kernels end to end by formulating optimization problems, running search loops, analyzing bottlenecks, debugging generated implementations, and landing…
• Design abstractions, interfaces, and automation systems that accelerate kernel optimization, correctness validation, and hardware-software co-design.
• Improve AI-assisted optimization systems for specialized tasks through better datasets, evaluations, benchmarking, and research infrastructure.

What they're looking for

• Strong systems or tooling engineering experience, with a background in low-level software, performance optimization, or infrastructure.
• Experience with developer tooling, debugging infrastructure, profiling, observability, or workflow design for technical users.
• Depth in kernel development, accelerator architecture, compiler systems, or related performance-critical domains.
• Familiarity with AI-assisted systems, agentic workflows, post-training, or reinforcement learning for engineering or research applications.
• Strong experimental judgment, comfort with ambiguity, and the ability to move fluidly between research exploration and production execution.