Clockwork Systems, Inc. Tech Stack

AI cluster observability and reliability platform for large-scale GPU workloads

Software Development Palo Alto, CA 11–50 employees Founded 2018 Privately Held

Clockwork Systems builds a software layer for AI infrastructure, focusing on observability, determinism, and resilience in GPU clusters. The tech stack is heavily kernel-level (eBPF, RDMA, DPDK, NCCL, CUDA) and networking-focused (InfiniBand, TCP/IP monitoring), indicating deep systems engineering rather than application-layer abstraction. Hiring is concentrated in senior engineers while sales scales internationally—a pattern suggesting infrastructure sales cycles are maturing beyond early adopters.

Tech Stack 28 technologies

Core StackLinux TypeScript Go Python Vue React Kubernetes C++ Java AWS OpenTelemetry Prometheus PyTorch C/C++ RDMA DPDK MPI NCCL CUDA libibverbs HTML D3.js C GCP Azure DCGM eBPF InfiniBand

What Clockwork Systems, Inc. Is Building

◆Challenges

Performance reliability coordination challenges
Infrastructure performance limitations
Low-latency networking challenges
Expanding into uk and middle east markets
Selling infrastructure solutions to large enterprises
Infrastructure struggles to meet performance demands
Performance bottlenecks in ai workloads
Increasing complexity of ai workloads
Gpu cluster utilization challenges

▲Active Projects

Design and build of high performance, reliable and scalable systems
Uk and middle east sales cycle management
Strategic account planning
Shaping gtm messaging
Ai and gpu cluster observability
Metric collection and processing system
Kernel-level observability and control using ebpf
High-performance networking sensors for monitoring tcp/ip behavior
Integrate ebpf-based telemetry into observability pipelines
High-performance gpu and networking subsystems

Hiring Activity

Accelerating9 roles · 4 in 30d

Department

Engineering

Sales

Seniority

Senior

Lead

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About Clockwork Systems, Inc.

Clockwork Systems delivers a programmable software platform called FleetIQ that makes large-scale AI clusters observable and deterministic. The company targets enterprises training and deploying GPU-intensive workloads, addressing pain points around cluster utilization, performance bottlenecks, and infrastructure reliability. Founded in 2018 and based in Palo Alto, Clockwork is an 11–50-person company with engineering depth in high-performance systems, currently expanding sales coverage into the UK and Middle East markets.

HeadquartersPalo Alto, CA

Company Size11–50 employees

Founded2018

Hiring MarketsUnited States, United Kingdom

Frequently Asked Questions

What tech stack does Clockwork Systems use?

Clockwork's stack spans kernel-level tools (eBPF, DPDK, RDMA), GPU frameworks (CUDA, NCCL, PyTorch), container orchestration (Kubernetes), and observability (OpenTelemetry, Prometheus, DCGM). Frontend layers use TypeScript, React, Vue, and D3.js. Infrastructure runs on AWS, GCP, and Azure.

What is Clockwork Systems working on?

Active projects include AI and GPU cluster observability, kernel-level observability via eBPF, high-performance networking sensors for TCP/IP monitoring, metric collection systems, and GTM expansion into UK and Middle East markets.