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Open nowPosted 5 hours ago

Test Engineer

Gravis Robotics7 open roles

Where
Taylor (TX)
Work mode
On site
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Your applicationOpen nowTest EngineerGravis Robotics · Taylor (TX)

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The clock on this job

Early applications get read.

14.0% of postings close within 7 days. Measured by our own scanner across the market. Gravis Robotics postings stay open a median of 20 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 14.0%7 days
  4. 22.5%14 days
  5. 38.3%30 days
  6. 59.0%60 days
This job: posted 5 hours ago

Gravis Robotics median: 20 days open

The posting

Gravis Robotics is a high-growth Series A start-up backed by SoftBank, bringing Physical AI to the construction industry, turning heavy construction machines into autonomous robots.

Gravis began as an ETH Zurich spin-out, and our unique combination of learning-based automation and augmented remote control lets one operator safely conduct a fleet of earthmoving machines in a gamified environment.

Backed by deep robotics research and now deployed across multiple countries with leading construction and equipment partners, our team is rapidly growing to bring this technology to a trillion-dollar industry.

The Gravis RACK is a machine-agnostic retrofit kit that adds autonomy to excavators and wheel loaders from 10 to 100+ tonnes: LiDAR and camera sensing, GNSS RTK, networking hardware and rugged edge compute that works offline. Paired with the Slate tablet and our Copilot software, it lets an operator run a machine manually, with AI assistance, or fully autonomously.

About the Role

We're looking for a hands-on Test Engineer to prove our technology on real machines before it reaches customers. Our R&D team in Switzerland builds new autonomy features; you'll test them in the field, find what breaks, and help get it fixed fast.

You'll own testing on dedicated test machines, run release validation, and work closely with engineers across time zones. If you want to see your work move dirt, this is the role.

What you will do

  • Run field tests on autonomous excavators
  • Validate software releases before they reach customer machines
  • Run safety-function and regression tests
  • Measure machine behavior
  • Compare field data with simulation results
  • Write clear bug reports with logs, video and steps to reproduce
  • Automate test execution and reporting

What we're looking for

  • Hands-on experience testing hardware, vehicles or machinery
  • Basic command line usage
  • Experience with Docker
  • Clear written communication
  • Willingness to work outdoors around heavy equipment
  • Valid US driver's license

Additional Beneficial Skills

  • Hydraulics or heavy equipment experience
  • Python or other scripting
  • ROS / ROS 2 or CAN bus

Location & Travel

Based in the Taylor, TX area and working on site at customer projects and test sites in Texas, with occasional travel.

Don't meet every requirement? If you're enthusiastic about this role but your experience doesn't match every qualification, we still encourage you to apply. You might be the perfect candidate for this or other positions.

This is an opportunity to join a dynamic and versatile team and to be part of a young startup that is revolutionizing heavy construction. Gravis Robotics offers a competitive salary and the opportunity to work on problems with real global impact.

Gravis is an equal opportunity employer. We are committed to building an inclusive and diverse team, and do not discriminate based upon race, color, ancestry, national origin, religion, sex, sexual orientation, age, gender identity, gender expression, disability, veteran status, or other legally protected characteristics. We comply with all applicable federal, state, and local employment laws.

We are an international team working to solve problems with global impact. Proficiency in English is a requirement for all roles.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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