Senior Software Engineer - HPC & Low-Level Systems

About Us

Clockwork.io – A Software-Driven Revolution in AI Networking

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.

To learn more, visit www.clockwork.io.

About Us 

Clockwork.io – A Software-Driven Revolution in AI Networking

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.

To learn more, visit www.clockwork.io.

What you will do

Use your knowledge and experience to lead/contribute directly to the design and build of high performance, reliable and scalable systems.

You bring

• 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 Have

• 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

Enjoy

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

Clockwork Systems is an equal opportunity employer. We are committed to building world-class teams by welcoming bright, passionate individuals from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, age, sex, sexual orientation, gender identity or expression, national origin, disability, or protected veteran status. We believe diversity drives innovation, and we grow stronger together.