Senior HPC Developer - RDMA Networking

Job Description

About Clockwork Systems

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

About the Role

We're looking for a Senior HPC Developer who wants to grow in a startup environment while working on cutting-edge GPU and high-performance networking problems. You'll work across multi-node, multi-GPU systems and have the opportunity to learn deeply across the full stack—from kernel and drivers to GPUs and networks.

This role is ideal for someone who is hands-on, curious, and excited to learn by building and debugging real systems at scale.What You'll Do

Build and optimize high-performance GPU and networking subsystems

Work with collective communication libraries and algorithms for multi-node, multi-GPU workloads

Debug performance issues across kernel, driver, GPU, and network layers

Develop and improve GPU-aware networking solutions

Profile, analyze, and tune system performance using low-level tooling

Collaborate closely with a small engineering team and take ownership of core systemsWhat You Bring

5+ years of experience in systems, HPC, or performance-critical software development

Strong proficiency in low-level C/C++

Solid understanding of RDMA networking, including InfiniBand, RoCE, and IBVerbs

Experience working with multi-node, multi-GPU workloads

Familiarity with collective communication libraries and communication algorithms

Ability and willingness to debug complex issues across hardware and software boundaries

Curiosity and eagerness to learn in a fast-moving startup environmentBonus Points

Experience with congestion control mechanisms such as DCQCN

Exposure to GPU-aware networking or advanced communication optimizations

Experience with performance profiling, tracing, or observability tooling

Background in AI infrastructure, HPC clusters, or distributed systems

Enjoy

Challenging projects.

A friendly and inclusive workplace culture.

Competitive compensation.

A great benefits package.

Catered lunch.

Compensation for this position will vary based on the skills and experience you bring, as well as internal equity considerations. For candidates hired at the posted level, the expected base salary range is $150,000 - $230,000. The offered compensation package may also include stock options or other equity awards, subject to Clockwork's equity program and applicable approvals.

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.

Full-time