Hardware Performance Validation Engineer

The Role

As a Hardware Performance validation Engineer, you’ll be responsible for characterizing, integrating, and validating autonomy hardware for construction machines. Key responsibilities include validating system performance for compute and sensing components, collaborating with various engineering and vendor teams to create and optimize automated testing methodologies, defining key performance indicators, developing test and analysis software (Python/C++), designing validation methods, and conducting failure analysis.

Required qualifications include experience in hardware platform characterization and validation, a strong understanding of physics and electrical engineering, familiarity with sensing technologies (lidar, camera, radar, GNSS, IMUs), a background in electrical and/or mechanical design of test fixtures or robots, and proficiency in Python or other scripting languages for test automation and data analysis. A Bachelor’s or Master’s degree in Electrical Engineering, Mechatronics, or a related field with 5+ years of relevant industry experience is preferred, along with hands-on experience in characterizing autonomy sensors. Experience with sensor technology manufacturing and high-volume mass production is a plus.

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.