Robotics Testing Software Engineer

The Role

Bedrock is looking for a very strong Software Engineer to build out our onboard testing capabilities. These tests will cover every possible safety critical case for our machines. You will work closely with our Robotics Platform and Cloud Infrastructure teams to design and develop full system validation frameworks that run on real machines, in HIL environments, and in the cloud with end to end simulation. You will work with systems engineering, simulation, and onboard infrastructure exercising critical logic across hardware-software boundaries to enable testing of every dimension of the robot.

A successful candidate will run the gamut from creating reusable automation scripts, build out fault injection capabilities on the robot, build interfaces to cloud infrastructure, and work closely with systems engineers to develop a comprehensive test capability for the onboard AI. You'll directly impact system reliability by enabling us to catch edge cases early and ensuring we meet rigorous safety standards.

This role suits software engineers who think systemically, understand the stakes associated with real-world deployment, and prefer architecting intelligent solutions over running scripts. Strong candidates are hands-on software engineers who are excited about reliability and with a background in robotics. Because you need to see your tests, we expect some travel to our remote and Bay Area test sites.

Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF of NY) please apply anyway! We'd love to consider you.

Join the team bringing advanced autonomy to the built world

At Bedrock, we've assembled one of the most experienced autonomous technology teams in the industry, with deep expertise scaling breakthroughs across transportation, infrastructure, and enterprise software. Our leaders helped put the first self-driving cars on public roads at Waymo, scaled systems for Segment's $3.2B acquisition, and grew Uber Freight to $5B in revenue.

While others debate the future of AI, we're deploying it in the real world. Our systems are already installed on heavy machines across the country, learning on real construction sites and working to reshape the earth with survey-grade precision and exceptional safety. This isn't a simulation-it's autonomous intelligence working on billion-dollar infrastructure projects.

In just over a year, we've raised $80M, put our equipment into the field, and established partnerships with forward-thinking contractors who are integrating our technology into their operations. We're working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage.

Here, algorithms meet steel-toed boots. You'll collaborate with both construction veterans and experienced engineers, tackling problems where your work directly impacts how the physical world get built. If you're interested in applying cutting-edge technology to solve meaningful problems alongside a talented team-we'd love to have you join us.

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