Engineering Manager - GPU Kernel Team - Remote

Overview

As the Engineering Manager for the GPU Kernel team, you’ll lead the team responsible for writing custom kernels and libraries which enable our transformer-based driving models to run efficiently on embedded GPUs and accelerators.

In Short

• Lead a multi-disciplinary team of ML GPU kernel engineers.
• Set foundational strategy on deployment frameworks, compilers, toolchains, and SoCs.
• Set clear objectives and priorities, and allocate resources efficiently.
• Develop new skills in end-to-end ML and inference optimisation.

Requirements

• Proven experience as an Engineering Manager delivering complex engineering projects.
• Experience developing GPU kernels and/or ML compilers (e.g. CUDA, OpenCL, TensorRT, MLIR, TVM, etc).
• Experience optimising systems to meet strict utilisation and latency requirements.
• Excellent interpersonal and communication skills.

Benefits

• Hybrid working policy combining office and remote work.
• Core working hours for flexible scheduling.