Clockwork.io
Clockwork.io pioneers Software-Driven AI Fabrics™, delivering a programmable software layer that makes large-scale AI clusters observable, deterministic, and resilient by design to drive continuous workload progress and peak cluster utilization. Its FleetIQ platform enables enterprises to train, deploy, and serve the world's most demanding AI workloads faster, more reliably, and at lower cost. Companies including Uber, Wells Fargo, DCAI, Nebius, Nscale, and White Fiber trust Clockwork.io to power their AI infrastructure. Learn more at www.clockwork.io
Open Positions at Clockwork.io
7 open positions
Join Clockwork Systems as a Software Engineer building high-performance network acceleration software for AI and GPU clusters. You’ll work on reliable, scalable distributed systems that improve observability, fault tolerance, and performance.
Software Engineer Interns will help design, build, and deploy high-performance, reliable, and scalable distributed systems for AI workloads. The role offers hands-on work with kernel, concurrency, databases, and networking technologies in Silicon Valley.
Build and scale high-performance network observability systems that provide deep visibility into RDMA, RoCE, InfiniBand, and TCP/IP infrastructure. You’ll develop backend telemetry, diagnostics, dashboards, alerts, and anomaly detection for AI and GPU cluster environments.
Build the automated testing systems and CI/CD infrastructure that ensure reliable releases for Clockwork’s distributed AI infrastructure software. This hands-on engineering role combines test automation, debugging, pipeline ownership, and opportunities to contribute to broader product development.
Join Clockwork Systems as a Senior Software Engineer building high-performance network acceleration software for AI and GPU clusters. You’ll work on reliable, scalable distributed systems across areas including cloud infrastructure, operating systems, databases, and networking.
Lead the development of low-latency, highly accurate time synchronization infrastructure for distributed clusters and services. You’ll work across distributed systems, networking, and systems engineering while guiding technical direction and mentoring engineers.
Build low-level systems software that makes large-scale distributed GPU training faster, more reliable, and fault tolerant. You’ll work across GPU systems, high-speed networking, and distributed coordination while owning major components from design through production.