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Earth Moving Data Products Engineer

Bedrock Robotics

Bedrock Robotics

San Francisco, CA, USA
Posted on Feb 24, 2026

Location

San Francisco, CA

Employment Type

Full time

Location Type

Hybrid

Department

Engineering

Join the team bringing advanced autonomy to the built world

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.

The Role:

Bedrock is bringing autonomy to the construction industry! We’re a group of veterans from the autonomous vehicle industry who are passionate about bringing the benefits of automation to areas in the construction industry currently underserved by the market.

We’re looking for a highly motivated senior engineer with experience evaluating large diverse datasets of sensory data to expose what machines across a site are doing, and how they can be further optimized. The ideal candidate has a breadth of knowledge of electromechanical, perception, mapping, and robotics systems. Most importantly, you have a passion for building pipelines to sift through the bytes to reliably condense information down to a set of core metrics and data products.

What you’ll do:

Measure performance:

  • Empower customers to enhance operations – Collaborate with Product teams and build relationships with partners to understand the data needed to drive decisions on worksites.

  • Develop a strategy to deliver production-grade KPIs of earth moved, cycle times, cut progression, dwell times, etc. across a diverse fleet instrumented with Bedrock equipment under a range of tasks and conditions.

Design and maintain data pipelines:

  • Architect pipelines to compute and track metrics – Analyze tradeoffs between timeliness and precision to define algorithm requirements and a data flow. Iterate with multiple engineering teams to build out metric inputs and integrate them into robust automated pipelines.

  • Design a pipeline that can scale to ingesting data from whole fleets of machines.

Share learnings:

  • Feed insights back to customers – Add depth to metric results by generating data views and reports for partner use.

  • Automate reporting and customize it based on specific needs of customers.

Required Qualifications:

  • Engineers who are currently Senior or Staff level with 5+ years of professional software engineering, data science, or statistics experience

  • Familiarity with computer vision, sensor fusion, and mobile robotics mapping systems

  • Demonstrated software background in time-sensitive applications

  • Proficiency using Python and a data warehouse query language and comfortable with development on cloud-based infrastructure

  • Strong collaboration and technical project management skills to integrate in-depth developments spanning multiple teams

  • Experience using statistics to evaluate systems or quantify the uncertainty around measured results

  • We’re especially interested in engineers who have worked with spatial data in production environments: surveying, photogrammetry, terrain modeling, heavy earth-moving equipment automation in construction or mining.

  • Domain knowledge of earth moving workflows 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 or NY) please apply anyway! We'd love to consider you.