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Software Engineer, Simulation

Bedrock Robotics

New York, NYHybridFull-timeNo compensation foundPosted 1mo agoVerified open 6 days ago

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At a glance

Compensation
No compensation found
Location
New York, NYHybrid
Schedule
Full-time
Work Authorization
Not specified

Job overview

Bedrock Robotics is hiring a Software Engineer, Simulation . Bedrock Robotics seeks software engineers to build and scale high‑fidelity simulation environments for autonomous construction machines, improving realism and performance to support machine‑learning based autonomy and safety validation in real‑world scenarios.

Key focus areas include Build and scale high‑fidelity simulation environments for autonomous construction machines, Develop simulation systems that support ML‑based autonomy, evaluation, and safety validation, and Improve realism and performance to better reflect real‑world behavior.

Successful candidates bring Engineering, Math, Or Physics Degree Or Computer Science Background, 4+ Years Professional Software Engineering Experience, and 2+ Years Experience With One Or More 3D Engines Or Simulation Frameworks. Important skills include C++, Unreal Engine, Unity, Godot, Blender, and Gazebo. Preferred (not required): Large-Scale Realistic Simulation Systems, Advanced 3D Simulation Software, Evaluating Systems, and Improving Realism To Support Autonomy Stacks.

Skills & qualifications

RequiredNice to have

Skills

C++Unreal EngineUnityGodotBlenderGazeboIsaac SimOmniverseLarge-Scale Realistic Simulation SystemsAdvanced 3D Simulation SoftwareEvaluating SystemsImproving Realism to Support Autonomy StacksHands-on MindsetBuilding Core Simulation AlgorithmsBuilding Simulation ContentRustRobotics Simulation BackgroundNeural Rendering TechniquesGaussian SplatsNeRFsRobotics SimulationPassion for Large‑Scale Realistic Simulation Systems

Qualifications

Engineering, Math, or Physics Degree or Computer Science Background4+ Years Professional Software Engineering Experience2+ Years Experience With 3D Engines or Simulation FrameworksExperience With RustRobotics Simulation BackgroundExperience With Neural Rendering Techniques

Full job description

JOIN THE TEAM BRINGING ADVANCED AUTONOMY TO THE BUILT WORLD

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.

THE MISSION:

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 DO:

  • 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

WHO YOU ARE:

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

WHAT WE’RE LOOKING FOR:

  • 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

PREFERRED QUALIFICATIONS:

  • 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.

BEDROCK ROBOTICS IS AN EQUAL OPPORTUNITY EMPLOYER

We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.

REASONABLE ACCOMMODATIONS

We’re committed to providing reasonable accommodations throughout our hiring process. If you need an accommodation to participate in the application or interview process, please contact our People Team at [email protected].

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