Senior HPC Developer - GPU and Networking at Clockwork.io

Palo Alto, California, United States -

Full Time

Start Date

Immediate

Expiry Date

28 Apr, 26

Salary

0.0

Posted On

28 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C/C++, RDMA Networking, InfiniBand, RoCE, IBVerbs, Multi-node, Multi-GPU, Collective Communication Libraries, Kernel Debugging, Driver Debugging, GPU Optimization, Networking Solutions, System Performance Tuning, Low-level Tooling, Systems Development, HPC

Industry

Software Development

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 www.clockwork.io. 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 systems What 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 environment Bonus 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. 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.

Responsibilities

The role involves building and optimizing high-performance GPU and networking subsystems, working with collective communication libraries for multi-node, multi-GPU workloads. Responsibilities also include debugging performance issues across the full stack and developing GPU-aware networking solutions.