Senior HPC Developer RDMA Networking

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.

About the Role

Were 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. Youll work across multi-node multi-GPU systems and have the opportunity to learn deeply across the full stackfrom 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.

• 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

• 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

• 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 $150000 - $ offered compensation package may also include stock options or other equity awards subject to Clockworks 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.