Staff Machine Learning Performance Engineer (Inference Optimisation)

Requirements

• Proven experience improving performance in production systems with tight constraints (latency, memory, bandwidth, power/thermal, or cost)
• Strong proficiency with at least one relevant stack/toolchain (e.g. TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL) and confidence learning adjacent frameworks quickly
• Comfort operating at multiple levels of abstraction — from high‑level model behaviour down to low‑level kernel/runtime execution
• Strong software engineering fundamentals (debugging, profiling, testing, and maintainable code)
• Clear communicator and collaborative teammate; able to align multiple stakeholders on performance trade‑offs and priorities
• (Desirable) Exposure to embedded or edge deployment of ML models, including benchmarking on real devices and handling system‑level constraints
• (Desirable) Experience with NVIDIA and/or Qualcomm SoCs and performance tooling
• (Desirable) Python ...