Clockwork.io – Software Driven Fabrics to increase GPU cluster utilization
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 fabrics by delivering cross-stack observability to catch and quickly resolve problems, workload fault tolerance to keep jobs running through failures, and performance acceleration that dynamically routes and paces traffic to avoid congestion.
To learn more, visit www.clockwork.io.We are looking for Systems Software Engineer Interns who are passionate about low-level systems programming, Linux internals, networking, and performance engineering. You will work with experienced engineers designing and building high-performance distributed systems.
If you enjoy research, deep systems exploration, and solving hard infrastructure problems, this role is for you.
Responsibilities- Design and implement high-performance, scalable systems software
- Develop low-latency infrastructure components in C/C++
- Work across Linux systems, networking stacks, and distributed runtime environments
- Analyze and debug system performance issues
- Optimize applications across CPU, memory, network, and GPU layers
- Collaborate with engineers on systems architecture and performance improvements
- Experience with C/C++ systems programming
- Strong understanding of Linux internals (system calls, memory management, kernel modules)
- Experience with multithreading, concurrency, and synchronization
- Knowledge of TCP/IP networking and socket programming
- Strong understanding of computer architecture (CPU caches, memory hierarchy, multi-core systems)
- Experience with systems debugging and performance analysis tools
- Strong problem-solving and analytical skills
- Experience with low-latency networking technologies (RDMA, DPDK, XDP)
- Familiarity with HPC environments or distributed systems
- Experience with MPI, RPC frameworks, or distributed runtimes
- Experience with GPU programming (CUDA, NCCL, GPU kernels)
- Familiarity with RDMA APIs such as libibverbs
- Experience with NIC architecture or network drivers
- Contributions to open-source systems software or Linux kernel
- Competitive compensation
- Opportunity to work on cutting-edge distributed systems
- Collaborative and inclusive team culture
- Catered lunches
- Located 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.
Top Skills
What We Do
Founded in 2018 by a team from Stanford University, Clockwork's technology enables time-sensitive applications in areas such as financial trading, high-tech, and online gaming. Being software-based, its solutions can run anywhere: in on-premises data centers, public clouds, or hybrid environments. Taking aim at the 'clockless architecture' prevalent in distributed systems and networks, Clockwork.io aims to redefine a large part of the way these technologies (which underlie the cloud) are currently practiced.
We're hiring software engineers, deployment engineers and sales. Send email to [email protected]
