Senior Systems Engineer - AI Infrastructure
Clockworksystems · On Site, Palo Alto, California
About this role
<div class="content-intro"><h4><strong>About Clockwork Systems</strong></h4> <p><strong>Clockwork.io - Software Driven Fabrics to increase GPU cluster utilization</strong></p> <p>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 <strong>cross-stack observability</strong> to catch and quickly resolve problems, <strong>workload fault tolerance</strong> to keep jobs running through failures, and <strong>performance acceleration</strong> that dynamically routes and paces traffic to avoid congestion.</p> <h4>To learn more, visit<a href="https://www.clockwork.io"> www.clockwork.io</a>.</h4></div><h3>About the Role</h3> <p>We're building infrastructure for fault-tolerant, high-performance distributed GPU training. You'll work at the intersection of GPU systems, high-speed networking, and distributed coordination-designing and implementing systems that run at scale.</p> <p>This is a systems building role. You'll dig into internals, understand why things break under pressure, and design solutions that handle the messy reality of distributed systems.</p> <h3>What You'll Do</h3> <ul> <li>Design and implement low-level systems software for GPU clusters</li> <li>Work with internals of frameworks like PyTorch, NCCL, CUDA runtime-not as a user, but modifying and extending them</li> <li>Build components that make large-scale GPU training more reliable and efficient</li> <li>Debug complex distributed/concurrent systems where failures are subtle and non-deterministic</li> <li>Own systems end-to-end: from design through production</li> </ul> <h3>What We're Looking For</h3> <p>Required: Systems building experience</p> <p>You've designed and built complex systems-not just deployed or operated them. Examples:</p> <ul> <li>Kernel subsystems, device drivers, or OS-level components</li> <li>Distributed storage, databases, or coordination systems</li> <li>Runtimes, profilers, or performance tooling</li> <li>Network stacks, protocols, or high-performance I/O systems</li> <li>Large-scale infrastructure at the systems layer</li> </ul> <p>Core technical skills:</p> <ul> <li>Strong C/C++ in systems contexts&nbsp;</li> <li>Deep understanding of concurrency, memory models.</li> <li>Experience reasoning about distributed system behavior: consistency, ordering, partial failures</li> <li>Comfortable reading and modifying large, unfamiliar codebases</li> </ul> <p>Nice to have:&nbsp;</p> <ul> <li>GPU programming (CUDA) or GPU systems experience</li> <li>High-performance networking (RDMA, InfiniBand)</li> <li>ML framework or runtime internals</li> <li>Cluster scheduling or orchestration...
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