About the role
Build and scale high-fidelity simulation environments for autonomous construction machines Develop simulation systems that support ML-based autonomy, evaluation, and safety validation
What they're looking for
- 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
More about this role
At Bedrock, we're moving AI out of the lab and into the real world. Our team includes 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 equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects.
We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, 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...
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