Member of Technical Staff

About the role

Morph builds the inference infrastructure behind the fastest open models. Our stack spans kernels, model serving, routing, autoscaling, and capacity. We are hiring a performance engineer to make the entire system faster, cheaper, and more reliable.

Responsibilities

• 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
• Build benchmarks and observability that make bottlenecks obvious
• Validate that every optimization preserves model quality and correctness
• Stack-rank opportunities and ship the highest-impact fixes yourself

Qualifications

• Have optimized complex production systems
• Understand GPU performance, memory bandwidth, collectives, and inference serving
• Are strong in Python and comfortable navigating unfamiliar codebases
• Can turn profiling data into clear engineering decisions
• Care about tokens per second, tokens per dollar, and correctness equally

About the team

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.