Clockwork. io
AI
SeniorHPCDeveloper-RDMANetworking
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior HPC Developer - RDMA Networking at Clockwork. io. Skills: HPC, RDMA Networking, GPU, C/C++, low-level systems. Build and optimize high-performance GPU and networking subsystems. Work with collective communication libraries and algorithms for multi-node, multi-GPU workloads”
What You'll Achieve.
increase GPU cluster utilization
Industry & Context.
Ability and willingness to debug complex issues across hardware and software boundaries; catch and quickly resolve problems
What They're Looking For.
Must Have
5+ years of experience in systems, HPC, or performance-critical software development, 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
Nice to Have
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
What You'll Do.
Build and optimize high-performance GPU and networking subsystems
Work with collective communication libraries and algorithms for multi-node
Debug performance issues across kernel
Develop and improve GPU-aware networking solutions
and tune system performance using low-level tooling
Collaborate closely with a small engineering team and take ownership of core systems
How You'll Work.
Team & Collaboration
Collaborate closely with a small engineering team
Full 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 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 co
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