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
6 open positions
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.
Build high-performance, interactive data visualizations and dashboards that make complex AI infrastructure data understandable to network engineers and stakeholders. This role combines frontend development, backend integration, and visualization design using technologies such as TypeScript, Vue, SVG, and D3.
Lead the architecture and development of a high-performance network observability platform for complex RDMA, RoCE, InfiniBand, and TCP/IP environments. Build telemetry, diagnostics, dashboards, and alerting systems while mentoring engineers and shaping technical direction.
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.