Perception Machine Learning Engineer

At Bedrock, we’re moving AI out of the lab and into the real world. Our team is composed of industry veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we’re deploying autonomous systems on heavy construction machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites. Backed by $350M in funding, 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.

This is where algorithms meet steel-toed boots. You’ll collaborate with construction veterans and world-class engineers to solve physical-world problems that simulations can’t touch. If you're ready to apply cutting-edge technology to solve meaningful problems alongside a talented team—we'd love to have you join us.

We’re building out our first fleet of retrofitted autonomous construction machines and we’re looking for a Software Engineer to work on the Hardware Abstraction Layer for sensors. Your day to day work will be developing and optimizing our sensor pipelines (Lidar, cameras, IMUs, GPS, etc.)

• 3+ years of professional experience in sensor bring up, calibration, and sensor validation

• 2+ years technical engineering experience with coding in at least one systems language (C++, Rust, or C) and one offboard language, ideally python.

• Strong data analysis skills (Data munching, statistical analysis)

• Experience with sensor validation algorithms in field robotics and real-world conditions

• Deep understanding of GMSL, MIPI, GStreamer, Lidar

• Video compression (H264, H265)

• Experience with the Rust programming language

• Experience with Sensor calibration and processes

• Experience with sensor validation algorithms

• Based in the Bay Area with the ability to be onsite at our testing facility and SF office 3-4 days a week

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 or NY) please apply anyway! We'd love to consider you.