Job Description

The Engineering Manager for the GPU Kernel team will lead the team responsible for writing custom kernels and libraries to enable transformer-based driving models to run efficiently on embedded GPUs and accelerators. This role involves working closely with ML engineers, software engineers, and researchers to deploy end-to-end AI for autonomous vehicles at scale.

Responsibilities

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

Requirements

• Proven experience as an Engineering Manager delivering complex engineering projects
• Experience developing GPU kernels and/or ML compilers
• Experience optimizing systems to meet strict utilization and latency requirements
• Excellent interpersonal and communication skills
• Experience with C++ and ML frameworks such as PyTorch
• Experience with ML deployment pipelines
• Experience with embedded SoCs used in automotive environments

Benefits

• No benefits