Software Engineer, Kernel Performance & AI Tooling

Highlights

• Advance kernel development and performance for next-gen AI-native silicon systems.
• Build AI-assisted workflows to make kernel optimization faster and more reliable.
• Design observability and validation for AI-driven optimization systems.

What they offer

• Offers Equity

Ideal candidate

A systems-minded engineer energized by low-level performance work who sees AI as a force multiplier for engineering velocity and enjoys moving between research exploration and production execution.

Requirements

• Strong systems or tooling engineering experience with low-level software, performance optimization, or infrastructure
• Experience with developer tooling, debugging infrastructure, profiling, observability, or workflow design
• 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
• Strong experimental judgment, comfort with ambiguity, and ability to move between research and production
• Interest in compilers, DSLs, program synthesis, or AI for systems