Pose and Localization Engineer

The Role

We’re seeking very strong Pose and Localization Software Engineers to build scalable solutions for pose estimation in the construction environment. These solutions will run on heavy machinery and in rugged environments estimating the state of the machine as it terraforms the earth around it. Redundancy is critical for safety, and we are building multiple redundant inputs including GPS, inertial measurements, visual odometry, scan matching, and more. The final solution will degrade smoothly from highly precise estimates when all inputs are available, to safe and functional performance in degraded conditions.

This is a broad job opening, and we are looking for backgrounds ranging from state estimation to SLAM. Your solution will incorporate both backend estimation and graph-SLAM approaches as well as frontend inputs like scan matching. If you have a background in any of GNSS/INS sensor fusion, visual odometry, LIDAR ICP, sensor calibration, graph-based SLAM, or filter-based estimation, please apply!

Successful candidates will be strong hands on engineers who know the math, but also write high quality production code. Ideal candidates will have deployed estimation systems at scale, and understand the need for performance evaluation and testing in the real world as well as offline. Exceptional candidates understand both the algorithms and the sensors that produce the inputs.  You will work closely with multiple software teams across the company to root cause vehicle and system-level defects from multiple sources. Join us!

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.