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Location: New York City
Work Model: Onsite 3 days per week
We’re looking for exceptional Software Engineers to build and scale our robotics simulation environment. Simulation is a critical foundation for autonomy at Bedrock—it allows us to validate end-to-end systems, evaluate complex and unsafe scenarios, and run testing at massive scale.
Our autonomy stack is deeply machine-learning–driven, and closing the sim-to-real gap is a core focus of this role. The simulator must accurately represent real-world physics—including terrain deformation for digging and earthmoving—while remaining efficient enough to support thousands of simulation runs. High-quality simulation directly accelerates robotics development, making this work central to our success.
What You’ll DoBuild and scale high-fidelity simulation environments for autonomous construction machines
Develop simulation systems that support ML-based autonomy, evaluation, and safety validation
Improve realism and performance to better reflect real-world behavior
Identify and close gaps between simulation results and field performance
Write production-quality, hands-on code and build real simulation content—not just prototypes
Simulation spans many disciplines, and we don’t expect one person to do everything. Strong candidates typically bring:
A passion for large-scale, realistic simulation systems
Strong geometric intuition and understanding of physics-based modeling
Experience evaluating systems and improving realism to support autonomy stacks
A hands-on mindset and enthusiasm for building core simulation algorithms and content
Required
Math or physics degree, or CS/engineering background with demonstrated interest and strength in math and physics
Strong foundation in software engineering, with emphasis on geometry and physics-based reasoning
Professional experience building production-quality systems in C++
Working experience with Python for tooling, evaluation, or experimentation
Preferred
Experience with Rust or interest in learning it
Hands-on experience with 3D engines or simulation frameworks, such as:
Unreal Engine, Unity, Godot, Blender, Gazebo, Isaac Sim, Omniverse
Familiarity with physics-based simulation for robotics, including terrain or heavy machinery modeling (e.g., Algoryx, CMLabs Vortex)
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 worldAt 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.
Bedrock Robotics San Francisco, California, USA Office
San Francisco, CA, United States
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