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, visitwww.clockwork.io.

About the Role

We’re looking for a Senior Systems Engineer – RDMA Networking & Storage to help build and optimize high-performance infrastructure for AI and HPC systems. You’ll work across RDMA networking and storage data paths, spanning compute hosts, NICs, DPUs, smart switches, storage systems, and the Linux software stack. The work includes RoCE networking, NVMe-over-Fabrics, congestion control, performance optimization, programmable network hardware, and debugging complex interactions across hardware and software. This role is ideal for an experienced systems engineer who enjoys working close to the hardware, diagnosing difficult performance problems, and building reliable systems where latency, throughput, and network behavior matter.

What You’ll Do

• Design, build, and optimize high-performance RDMA networking and storage systems
• Work with RoCE, RDMA Verbs, and NVMe-over-Fabrics
• Develop systems that leverage DPUs, SmartNICs, and programmable switches for packet processing, telemetry, control, and data-path acceleration
• Develop and optimize software using queue pairs, completion queues, memory registration, zero-copy I/O, and other RDMA primitives
• Debug performance and reliability issues across applications, Linux kernel, drivers, NICs, DPUs, switches, and storage systems
• Analyze network and storage behavior including latency, throughput, queueing, congestion, packet loss, retransmissions, and flow control
• Develop mechanisms to improve network performance and congestion behavior in high-bandwidth RDMA fabrics
• Build tooling and instrumentation to understand end-to-end performance across compute, network, and storage
• Profile and tune systems across PCIe, NUMA, CPU, memory, NIC, DPU, network, and storage boundaries
• Own major components from design through implementation, performance validation, and deployment

What You Bring

• 5+ years of experience in systems, networking, storage, HPC, or other performance-critical software development
• Strong proficiency in low-level C/C++
• Strong understanding of RDMA networking, including RoCE and RDMA Verbs
• Strong understanding of networking fundamentals, including packet processing, queues, congestion, and flow control
• Experience debugging low-level Linux networking, storage, or driver behavior
• Familiarity with concepts such as DMA, memory registration, queue pairs, completion queues, interrupts/polling, and zero-copy I/O
• Experience profiling and optimizing latency- and throughput-sensitive systems
• Ability to reason across hard