Simulation - Software Engineer

Overview

We are hiring exceptional software engineers to develop our simulation environment. Simulation is the life-blood of robotics. You will help build the simulator to smoke test the end to end system, eval complex scenarios that are unsafe or impractical to test IRL, and scale up testing to massive numbers of runs. Our core systems are based on machine learning, and so bridging the sim-to-real gap is a key focus. The core of the simulator must represent the physics of the real world, including deforming the terrain to enable digging. To reach scale, these simulations must be computationally efficient, and realistic enough to give strong evidence of performance. Good simulation dramatically increases robotics development speed, so your software will be core to our success.

We are looking for people who have a passion for building high scale, highly realistic simulation environments. We don’t expect any one person to cover everything, but knowledge of system evaluation, strong geometric understanding, and an eye for closing gaps in simulation that make the autonomy stack run more realistically, are key skills. We are looking for a range of seniority levels from a visionary lead to passionate builders. Regardless of level, to be successful in this role you will need to be hands-on writing code and building worlds. You will build the core content and algorithms of simulation, perfecting the operation of construction machines in a virtual sandbox.

Our roles are often flexible. If you do not 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.

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 gets 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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