Clockwork Systems, Inc.

Clockwork Systems, Inc.

Software Development Engineer in Test

On Site, Palo Alto, California · Mid

Sponsorship not specified$130k-$175kDetected 50 days ago
PythonNode.jsDistributed SystemsGitAWSGCPAzureCloud PlatformsDockerKubernetesTerraformHelmCI/CDGitHub ActionsJenkinsLinuxDevOpsMachine LearningPyTorchPlaywrightpytestTest AutomationCommunicationProblem Solving

Stay score

odds of building a lasting career here

54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level II · 2×
Level I$98,3221 entry
Level II$129,0222 entries
Level III$159,7443 entries
Level IV$190,4454 entries

$29,744 more — $159,744 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $159,744 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Quality Assurance Analysts and Testers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Quality Assurance Analysts and Testers (15-1253) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 10 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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About the role

  • As AI workloads grow increasingly complex, traditional infrastructure struggles to meet the demands of performance, reliability, and precise coordination.

Responsibilities

  • Design, build, and maintain integration, regression, and end-to-end tests for distributed systems running on Kubernetes, Slurm, and bare-metal GPU/CPU clusters
  • Build and run performance and scale benchmarks, and catch regressions before they ship
  • Investigate and diagnose build failures, flaky tests, and regressions
  • We are committed to building world-class teams by welcoming bright, passionate individuals from all backgrounds.
  • We believe diversity drives innovation, and we grow stronger together.

Requirements

  • 3+ years of experience in a Test Engineering, DevOps, or QA role with a strong technical background
  • Proven experience with CI/CD tools such as GitHub Actions, Jenkins, or GitLab CI, and testing frameworks such as pytest and Playwright
  • Experience with public cloud infrastructure (GCP, AWS, or Azure)
  • Familiarity with release management and deployment processes, including versioning, release candidates, and rollout verification
  • Working knowledge of Linux, containerization, and orchestration (Docker, Kubernetes, Helm)
  • Strong Python; comfortable reading and debugging Go
  • Demonstrated expertise in building automated test scripts and frameworks from scratch
  • Strong debugging, problem-solving, and communication skills
  • A startup mindset, self-motivated, adaptable, and eager to take ownership

Nice to have

  • Experience with AI/ML infrastructure: GPUs, RDMA/RoCE or InfiniBand, NCCL, DCGM, PyTorch training jobs
  • Workload managers and schedulers (Slurm, Kubeflow/PyTorchJob)
  • Chaos or fault-injection testing of distributed systems

Skills

  • About Clockwork Systems
  • Clockwork.io - Software Driven Fabrics to increase GPU cluster utilization
  • To learn more, visit www.clockwork.io.
  • Our software runs on production GPU and CPU clusters across Ethernet, RDMA/RoCE, and InfiniBand networks.
  • Testing here means standing up real multi-node clusters, running real workloads against them, and measuring what happens.

Compensation

  • For candidates hired at the posted level, the expected base salary range is $130,000 - $175,000.
  • The offered compensation package may also include stock options or other equity awards, subject to Clockwork's equity program and applicable approvals.
  • 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.

Benefits

  • A great benefits package.
  • Compensation for this position will vary based on the skills and experience you bring, as well as internal equity considerations.
  • The offered compensation package may also include stock options or other equity awards, subject to Clockwork's equity program and applicable approvals.

Company info

  • Summary We are looking for a Software Development Engineer in Test who thrives in fast-paced startup environments and is excited to be a co-owner and major contributor to our testing and CI/CD infrastructure.
  • You will play a critical role in ensuring the quality, performance, and reliability of every release before it reaches our customers.
  • A meaningful part of this role is DevOps work, not just test authoring.
  • Ensure all code releases meet high quality standards before shipping to customers
  • Be part of a foundational team shaping the future of infrastructure software

Equal opportunity

  • Clockwork Systems is an equal opportunity employer.

This listing is sourced directly from Clockwork Systems, Inc.'s careers page and normalized into a canonical job model.