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Cloud and Onboard Systems Engineer

New York, San Francisco

The Role

We are looking for a foundational engineer to own the critical bridge between our robots and our cloud infrastructure. You will be responsible for the entire data and communication layer of our robot fleet, ensuring that critical information flows reliably from the physical world to our cloud platform and back again. You will own the systems that handle everything from low-level data offload and telemetry to real-time command and control, making trade-offs in the face of difficult connectivity situations. You would be responsible for the core services that guarantee our robots are connected, observable, and reliable.

This role is best suited for a hands-on, systems-focused engineer who thrives at the intersection of on-board and cloud-based software. You are comfortable diving deep into onboard systems one day and designing cloud-side infrastructure the next. You have a proven ability to build and operate mission-critical systems where reliability is paramount (even if not in robotics). This is your opportunity to solve the unique challenges that only exist when software meets the physical world. For the right candidate, this is a chance to grow and build the team that owns this entire critical domain. You will need to articulate a clear vision for how our robots communicate with the world and draw the roadmap to get there, solving for today's needs while building for tomorrow's scale.

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.

 

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