Onboard Platform - Middleware Lead

The Role

We’re building out our first fleet of retrofitted autonomous construction machines and we’re looking for a software engineer to lead the development of our middleware software. Your day to day will revolve around the development of the on board middleware infrastructure for our automated machine. This will consist of developing:

• Communication system via Publisher/Subscriber methodology with sub microsecond latency even with large size messages
• Scheduler to manage large amount of subsystems
• Subsystem launcher and module system that allows to launch your robot’s subsystems with full dependency support, coordinated across multiple computers
• Development of embedded real time sub systems
• Development of real time capable zero-copy Interface Definition Language

Background:

• Strong Linux system knowledge
• Proficiency in Python / C++. Rust is a big plus.
• 10+ Years of experience in robotics, autonomous systems
• Understanding of autonomous systems, infrastructure, and operations

Ways to stand out from the crowd:

• Background knowledge in sensor and compute system including cameras, lidars, radars, GNSS, IMUs, edge compute, and embedded controllers
• Worked on a middleware for an autonomous vehicle
• Embedded Linux OS knowledge (kernel optimization, camera device driver, performance tooling)

Other Special Aspects of the Role:

• Based in Bay Area with ability to be onsite at our testing facility and SF office on a daily/weekly basis

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.