Responsible for designing, testing, and integrating hardware and software for autonomous machines, conducting triage and debugging, and collaborating on machine control systems.

The engineer will develop and optimize base software for an onboard autonomy computer, focusing on embedded Linux systems, low-level drivers, and system performance across resources.

Develop and enhance a simulation environment for robotics, ensuring the simulator accurately represents physics and scales testing efficiently. Collaborate on algorithms and simulations to improve construction machine operations.

Develop and optimize sensor pipelines for autonomous construction machines, focusing on hardware abstraction layer and sensor validation.

The role involves developing production 3D perception systems, training models, managing data pipelines, and ensuring system safety and efficiency.

Develop and scale learning architectures for behavior cloning and reinforcement learning, build data pipelines, and deploy models in real environments.

The ML Platform Engineer will build and maintain the infrastructure for the ML development lifecycle, improve system efficiency, and support ML practitioners' workflows.

Develop and optimize ML models for robotics, collaborate with vendors for data labeling, and evaluate model performance in the field.

Lead the development of middleware software for autonomous construction machines, focusing on communication systems, scheduling, modular subsystem management, and real-time embedded systems.

The role involves developing scalable solutions for pose estimation using various inputs for heavy machinery in construction environments, ensuring redundancy and safety. Candidates should be skilled in state estimation, SLAM, and sensor fusion.

Join Bedrock to apply cutting-edge AI technology to construction projects. Collaborate with experts to tackle real-world challenges and impact the industry.

Develop and optimize a simulation environment for robotics, focusing on high-scale, realistic simulations to improve performance and testing efficiency.

The Staff/Senior Mechanical Engineer will handle the product lifecycle including design and development, collaborate across teams, and oversee manufacturing processes for mechanical systems in autonomous construction technology.

Intern will verify the dynamic stability of autonomous excavators by designing and executing test suites, working with robotics teams to ensure safety and effectiveness during real-world applications.

Intern will work on motion generation for autonomous systems, focusing on trajectory generation, robot control systems, and machine learning integration.

Lead end-to-end recruitment for technical roles in AI/ML and robotics, building processes in a fast-paced startup environment while aiming to attract top talent and scale hiring operations.

Interns will design and train world models for autonomous excavation simulation. Responsibilities include prototyping architectures, mining data, and developing generative representations with hands-on mentorship.

Intern will support the commercialization team by engaging in market strategy, business development, and partnership management for advanced autonomy technology in construction.