Member of Technical Staff

About the role

You'll work directly with the founding team to build the systems that power our GPU optimization platform, from the agent framework that iterates on kernels, to the profiling infrastructure that connects to NCU and ROCprofiler, to the compiler tooling that analyzes PTX and SASS.

Responsibilities

• Build and improve our framework for GPU kernel optimization (multi-turn tool use, state management, reward signals)
• Develop integrations with GPU profilers and compiler toolchains
• Design the architecture for remote GPU execution across cloud GPUs
• Work on trace analysis systems that help the agent diagnose performance bottlenecks
• Ship features that engineers use daily, and that optimize infrastructure that runs the world's AI (PyTorch, vLLM, NVIDIA, AMD, etc.)

Requirements

• Have deep technical intuition and can learn new domains quickly
• Are comfortable working across the stack
• Can ship production code fast while maintaining quality
• Want to work on some of the most interesting AI infra problems at a small company with no bullshit + ship fast culture.

Qualifications

• Very nice to have:
• GPU programming experience (CUDA, HIP, Triton)
• Experience with profiling tools or compiler internals
• Background in AI/ML research or agent systems
• Publications or open-source work in relevant areas