About The Position

Clockwork Systems was founded by Stanford researchers and veteran systems engineers who share a vision for redefining the foundations of distributed computing. As AI workloads grow increasingly complex, traditional infrastructure struggles to meet the demands of performance, reliability, and precise coordination. Clockwork is pioneering a software-driven approach to AI networking, delivering deterministic time, ultra-low latency, and seamless scalability for modern distributed systems. Use your knowledge and experience to lead/contribute directly to the design and build of high performance, reliable and scalable systems.

Requirements

  • At least 5 years of experience with C/C++ systems programming
  • Deep knowledge of Linux internals (e.g., system calls, memory management, kernel modules)
  • Strong foundation in concurrent programming and synchronization techniques
  • Strong understanding of the TCP/IP stack, socket programming, and low-latency networking (e.g., RDMA, DPDK, XDP)
  • Strong understanding of memory hierarchy, CPU caches, multi-core architectures, and GPUs
  • Strong skills in systems design, performance analysis, and low-level debugging

Nice To Haves

  • Contributions to open-source HPC libraries or Linux kernel subsystems
  • Experience with performance tuning of large-scale HPC clusters
  • Experience with MPI, RPC frameworks, or distributed runtimes
  • Experience with NCCL, CUDA and GPU Kernels
  • Knowledge of RDMA APIs (e.g., libibverbs) and transport semantics
  • Experience with NIC drivers or NIC architecture

Benefits

  • Challenging projects.
  • Competitive compensation.
  • A great benefits package.
  • A friendly and inclusive workplace culture.
  • Catered lunches.
  • Working in the heart of Silicon Valley.
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