Senior Software Engineer, TorchPass Product Engineering

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.

TorchPass keeps distributed PyTorch training running through hardware and network failures. The Product Engineering team makes it something customers can install, trust, and run on their own clusters.

We are looking for an experienced engineer who has turned working infrastructure software into a product that other people can deploy and operate. You will own the parts of TorchPass that customers touch, and you will be one of the engineers they hear from when something does not work.

This is a product and deployment role. It does not require GPU runtime, NCCL, or kernel experience.

• →Build and own the customer-facing surfaces of TorchPass: installation, configuration, and the views that show customers what the product is doing
• →Keep product documentation accurate with every release
• →Work directly with customers and our solutions engineers during evaluations: read logs, separate product defects from environment issues, and say clearly what happened
• →Turn what we learn in the field into fixes, tests, and documentation
• →Define, together with the core engineering team, what TorchPass needs from a customer's cluster and what it guarantees in return
• →Extend TorchPass to new schedulers and job launchers as customers need them

• 4+ years building or operating infrastructure software in production
• You have taken a system that worked for its authors and made it installable and supportable by people who did not build it
• Strong debugging skills on production systems you did not write
• Deep experience with Kubernetes or Slurm
• Strong Python, and the ability to read and change Go
• You use AI coding tools well, and you understand and stand behind the code you ship
• You write documentation that people follow successfully
• You are comfortable working with customers on technical problems
• A degree in computer science, electrical engineering, or a related field, or equivalent experience

• Experience with GPU clusters or machine learning training infrastructure
• Experience with release engineering: build pipelines, packaging, artifact delivery
• Experience bringing up clusters across more than one cloud provider

• 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 - $230,000. 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.