Member of Technical Staff

Другое

• Company was a 1 person company from 0 → 10M of revenue. We will be the first 10 person $10b company.
• Every employee should contribute >30M of revenue/yr to the company.
• The best candidates would be top 1% at multiple parts of the inference stack, yet have breadth across the whole stack.
• Company builds high margin inference infrastructure. Our stack spans kernels, model serving, routing, autoscaling, and capacity.
• Find the gap between theoretical hardware performance and production performance
• Trace latency and throughput regressions from the API layer down to individual kernels
• Optimize batching, scheduling, routing, quantization, and distributed execution
• Work on new research directions around caching
• Work with NVLink and RoCE
• Validate that every optimization preserves model quality and correctness
• Have optimized complex production systems
• Can juggle 8+ Codex/Claude/other coding agents concurrently
• Understand GPU performance, memory bandwidth, collectives, and inference serving
• Are strong in Python, CuTEdsl, and comfortable navigating unfamiliar codebases
• Care about tokens per second, tokens per dollar, and correctness equally
• You will work directly with the founders on problems that determine how efficiently frontier-scale models can be served. Small team, enormous compute, immediate production impact.