Clockworksystems
Senior Systems Engineer - AI Infrastructure
On Site, Palo Alto, California. Posted a month ago
The role
You will design and implement low-level systems software for GPU clusters. You will work with the internals of frameworks like PyTorch, NCCL, and CUDA runtime to build reliable and efficient large-scale GPU training components.
What you will do
- Design and implement low-level systems software for GPU clusters
- Work with internals of frameworks like PyTorch, NCCL, CUDA runtime
- Build components that make large-scale GPU training more reliable and efficient
- Debug complex distributed/concurrent systems
- Own systems end-to-end from design through production
Required qualifications
- Systems building experience
- Strong C/C++ in systems contexts
- Deep understanding of concurrency, memory models
- Experience reasoning about distributed system behavior: consistency, ordering, partial failures
- Comfortable reading and modifying large, unfamiliar codebases
Nice to have
- GPU programming (CUDA) or GPU systems experience
- High-performance networking (RDMA, InfiniBand)
- ML framework or runtime internals
- Cluster scheduling or orchestration systems
Benefits
- Competitive compensation
- A great benefits package
- Catered lunch
About the company
Clockwork Systems was founded by Stanford researchers and veteran systems engineers. They provide software-driven fabrics to increase GPU cluster utilization.