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Build and scale high-fidelity simulation environments to validate autonomous construction machinery and ML-based autonomy stacks. Develop systems that accurately represent real-world physics, including terrain deformation, to accelerate robotics development.
Requires a degree in engineering, math, physics, or computer science with 4+ years of professional C++ experience. Candidates need 2+ years of experience with 3D engines or simulation frameworks and a strong background in math and physics.
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.
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.
Build 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
Help guide our strategy in scene generation and neural rendering techniques
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
Experience with advanced 3D simulation software
Experience evaluating systems and improving realism to support autonomy stacks
A hands-on mindset and enthusiasm for building core simulation algorithms and content
Engineering, math, or physics degree, or computer science background with demonstrated interest and strength in math and physics
4+ years of professional experience in software engineering, with proven track record of building modular, maintainable, production-quality software systems in C++
2+ years of experience with one or more 3D engines or simulation frameworks, such as: Unreal Engine, Unity, Godot, Blender, Gazebo, Isaac Sim, Omniverse
Experience with Rust or interest in learning it
Robotics simulation background
Experience with neural rendering techniques (Gaussian splats, NeRFs)
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.
Advanced autonomy for the built world.
Bedrock Robotics brings advanced autonomy to the built world, helping the construction industry build at the pace today's society demands. Our technology upgrades existing heavy equipment, enabling truly autonomous operation with expert level quality and superhuman safety. At a time when we need to build faster than ever—from housing to data centers to factories and energy infrastructure—autonomous construction isn't just an innovation, it's an economic necessity.
Offices: 703 Market St, Ste 1300, San Francisco, California 94103, US
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