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Dyna Robotics

QA Tester, Robotics Software Releases

Sorry, this job was removed at 03:17 p.m. (PST) on Tuesday, Jul 21, 2026
In-Office
Redwood City, CA, USA
In-Office
Redwood City, CA, USA

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Join us to shape the next frontier of AI-driven robotics!

Dyna Robotics makes general-purpose robots powered by a proprietary embodied AI foundation model that generalizes and self-improves across varied environments with commercial-grade performance. Dyna's robots have been deployed at customers across multiple industries. Our frontier model has the top generalization and performance in the industry.

The Role

We are looking for a hands-on QA Tester to support the validation of software releases across Dyna’s robotics platform.

This is an onsite role where you will work directly with our robots, teleoperation systems, and operator-facing tooling to ensure releases are functioning correctly before customer deployment. You will execute structured test plans, validate core workflows, identify regressions, and clearly document issues for our engineering teams.

This role is ideal for someone with strong QA instincts who enjoys structured testing, pays close attention to detail, and thrives in a fast-moving startup environment where hardware and software evolve quickly.

What You’ll Do
  • Release Validation & QA Testing: Execute structured QA testing for software releases across robot UI workflows, teleoperation systems, data collection tooling, and model inference flows.

  • Teleop & Workflow Testing: Work directly with Dyna’s robotic systems and VR teleoperation equipment during testing cycles.

  • Bug Reporting & Documentation: Document issues clearly and consistently so engineering teams can reproduce and resolve problems efficiently.

  • Regression & Quality Monitoring: Help ensure release quality continuously improves over time as our platform scales.

What You’ll Bring
  • 1–3+ years of QA testing experience in software, hardware-software, gaming, robotics, VR/AR, or technical product environments.

  • Strong experience executing structured test cases and identifying regressions.

  • Excellent communication skills, with the ability to write clear, detailed, and reproducible bug reports.

  • A detail-oriented mindset and high consistency when following rigorous testing workflows.

  • Adaptability in fast-moving environments with frequent releases and evolving processes.

  • Quick learning ability to pick up new technical workflows and systems smoothly.

Bonus Points For
  • Experience testing robotics, VR/AR, gaming, or hardware-integrated software systems.

  • Familiarity with Meta Quest or other VR headsets.

  • Experience with QA tracking tools, spreadsheets, or release management workflows (e.g., Jira, Datadog, Linear).

  • Prior experience in a startup or rapidly evolving product environment.

Note: You do not need to be an engineer or write code for this role. We are looking for someone who takes testing seriously, follows processes carefully, and communicates issues clearly.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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