Clockwork Systems
Senior Systems Engineer - AI Infrastructure
$150K–$210K
On Site, Palo Alto, California · Senior · Full-time · Posted Oct 13, 2026
About the job
Designs and builds low-level systems software to make large-scale distributed GPU training more reliable and efficient.
What you'll do
- Design and implement systems software for GPU clusters, including modifying and extending framework and runtime internals.
- Build components that improve the reliability and efficiency of large-scale GPU training.
- Debug complex distributed and concurrent systems, and own solutions from design through production.
What they ask for
- Systems-building experience designing and building complex systems.
- Strong C/C++ skills in systems contexts.
- Deep understanding of concurrency and memory models.
- Experience reasoning about distributed system behavior, including consistency, ordering, and partial failures; comfortable reading and modifying large 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.
Pay
$150,000 - $210,000 USD base salary
Tools
C/C++, PyTorch, NCCL, CUDA runtime, CUDA, RDMA, InfiniBand
AI focus
Builds infrastructure for fault-tolerant, high-performance distributed GPU training.
Model-written summary · the original posting is authoritative