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Full-Time Opportunity: This is a permanent, full-time position with a competitive package and real career growth potential.
Job Description
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 ...