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Open nowPosted 5 hours agoWe saw it 63 min after it went up

R&D Intern - Validation

Workable (global search)106,934 open roles

Where
Singapore
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Your applicationOpen nowR&D Intern - ValidationWorkable (global search) · Singapore

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Early applications get read.

8.5% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 4 days.

Share of postings closed within
  1. 1.8%1 day
  2. 4.0%3 days
  3. 8.5%7 days
  4. 15.4%14 days
  5. 34.1%30 days
This job: posted 5 hours ago

Workable (global search) median: 4 days open

The posting

Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for real-time performance.

We are innovative, focused, and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state-of-the-art solutions as part of Team Rapsodo.

You’ll sit with the R&D team validating our golf launch monitors. Your focus is the device itself, but our product is an end-to-end system — firmware on the hardware, a mobile app, and cloud services behind it — and you’ll need to understand how those parts relate in order to design tests that reflect how the product is actually used. This is hands-on test engineering on real hardware, not scripted QA.

What You’ll Do

  • Build an understanding of how our embedded systems, mobile apps, and cloud services fit together, and use that context to design test cases that reflect real end-to-end behaviour rather than isolated device checks.
  • Build, maintain, and execute automated test cases using our robotic test setup, driving physical devices through repeatable scenarios.
  • Use AI tools to help design test cases and analyse test results — identifying patterns across runs, narrowing down failures, and spotting coverage gaps.
  • Coordinate and run end-user testing sessions with human testers, capturing results and feeding findings back to engineering.
  • Optimise and automate our CI/CD pipelines so test coverage runs earlier, faster, and with less manual intervention.

Requirements

  • Pursuing a degree in Computer Engineering, Computer Science, Electrical Engineering, Mechatronics, or similar.
  • Comfortable with Python or an equivalent scripting language.
  • Basic Linux literacy — command line, logs, filesystem.
  • Curious about how things break. The best validation engineers are the ones who want to know why a test failed, not just that it did.
  • Able to communicate clearly in writing — test reports and bug reports are a large part of the job.
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