System Software Engineer — GPU & Accelerated Compute

What this role involves

This role involves owning the accelerated compute layer of the ML & Robotics Infra team at a robotics company. Responsibilities include efficient GPU model execution, scheduling, and data transfer for real-time robotic systems. The candidate will work with CUDA and systems programming to optimize GPU utilization.

Skills this posting asks for

• cuda
• c++
• c
• rust
• gpu architecture
• gpu scheduling
• cuda graphs
• cuda ipc
• mps
• mig
• nsight systems
• nsight compute
• linux
• camera pipeline
• nvdec
• nvenc
• jetson
• observability
• tracing
• gpu kernel optimization
• model inference
• embedded gpu

Requirements

• 2 years of experience
• Level: mid

From the employer’s posting

Join Us in Building the Future of Home Robotics At Sunday, we're developing personal robots to reclaim the hours lost to repetitive tasks. We're focused on an ambitious goal to make generalized robots broadly accessible, enabling households to take back quality time. We have spent the last 18 mon…