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Clockwork Systems
Senior Systems Engineer - AI Infrastructure

Base Salary:

$150k - $210k

On Site, Palo Alto, CaliforniaPosted 1 week ago
Clockwork Systems
Senior Software Engineer, TorchPass Product Engineering

Base Salary:

$150k - $230k

On Site, Palo Alto, CaliforniaPosted 2 weeks ago
Clockwork Systems
Senior HPC Developer - RDMA Networking

Base Salary:

$150k - $230k

On Site, Palo Alto, CaliforniaPosted 2 weeks ago
Clockwork Systems
Senior Human Resources Manager

Base Salary:

$140k - $180k

Palo Alto, CAPosted 4 weeks ago
Senior Systems Engineer - AI Infrastructure
Clockwork Systems
1 week ago On Site, Palo Alto, California Senior Level $20.6M · $41.6M Total Revenue - $3.5M 31 employees $150k - $210k H-1B Friendly

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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, visit www.clockwork.io.

About the Role

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.

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.

What You'll Do

  • Design and implement low-level systems software for GPU clusters
  • Work with internals of frameworks like PyTorch, NCCL, CUDA runtime—not as a user, but modifying and extending them
  • Build components that make large-scale GPU training more reliable and efficient
  • Debug complex distributed/concurrent systems where failures are subtle and non-deterministic
  • Own systems end-to-end: from design through production

What We're Looking For

Required: Systems building experience

You've designed and built complex systems—not just deployed or operated them. Examples:

  • Kernel subsystems, device drivers, or OS-level components
  • Distributed storage, databases, or coordination systems
  • Runtimes, profilers, or performance tooling
  • Network stacks, protocols, or high-performance I/O systems
  • Large-scale infrastructure at the systems layer

Core technical skills:

  • Strong C/C++ in systems contexts 
  • Deep understanding of concurrency, memory models.
  • Experience reasoning about distributed system behavior: consistency, ordering, partial failures
  • Comfortable reading and modifying large, unfamiliar codebases

Nice to have: 

  • GPU programming (CUDA) or GPU systems experience
  • High-performance networking (RDMA, InfiniBand)
  • ML framework or runtime internals
  • Cluster scheduling or orchestration systems

We believe strong systems engineers pick up domain-specific tools quickly. We value your ability to reason about complex systems over checkbox familiarity with our specific stack.

Enjoy

  • Challenging projects.
  • A friendly and inclusive workplace culture.
  • Competitive compensation.
  • A great benefits package.
  • Catered lunch.

Compensation for this position will vary based on the skills and experience you bring, as well as internal equity considerations. For candidates hired at the posted level, the expected base salary range is $150,000 - $210,000. In addition to cash compensation, this role is eligible to participate in the company’s equity program, which may include stock options granted in accordance with the company’s equity plan and subject to approval and applicable vesting schedules.

Clockwork Systems is an equal opportunity employer. We are committed to building world-class teams by welcoming bright, passionate individuals from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, age, sex, sexual orientation, gender identity or expression, national origin, disability, or protected veteran status. We believe diversity drives innovation, and we grow stronger together.

Clockwork Systems
Founded:

2018

Latest Funding:

$20.6M on Sep 1, 2025

Total Funding:

$41.6M

Annual Revenue:

$3.5M

Headcount:

31

Industries:
Information Technology & Services Computer Software
Description:

Clockwork Systems, Inc. is a software development company based in Palo Alto, California, founded in 2018 by a team of Stanford University professors and technologists. The company specializes in software-based technology solutions that enhance time synchronization and coordination in distributed computing environments. Their offerings are particularly valuable in industries such as financial trading, online gaming, and high-tech sectors, where precise timing is crucial. The core of Clockwork Systems' technology focuses on achieving nanosecond-level accuracy in network clock synchronization. This capability allows critical applications, including trading platforms and real-time analytics, to operate with improved timing accuracy and reduced latency. Their solutions are flexible and scalable, designed to run in on-premises data centers, public clouds, or hybrid environments, making them adaptable to various IT infrastructures. Clockwork Systems serves a diverse range of customers, providing tools that address timing and synchronization challenges in distributed systems, ultimately enhancing performance and reliability across multiple industries.

Investors:
NEA
H-1B Sponsorship DOL Verified Limited
H-1B Filings by Department
EngineeringThis Role12
Operations2
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