Design and build core services for autonomous construction equipment, collaborate with a full stack team, and develop user-facing products.

Join Bedrock Robotics as a Distributed Systems Engineer to address challenges in large scale model training, data platforms, and real-time robotics systems.

Lead and optimize testing efforts for vehicle and AI systems, ensuring performance and reliability through strategic initiatives and cross-functional collaboration.

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.

Responsible for defining system architecture, testing, integrating modules for autonomous construction machines, and coordinating with safety teams on hardware design.

The role involves leading the build and release process for a robotics stack, focusing on developer productivity and infrastructure support using various technologies like Rust and Python.

The HW/SW Integration Engineer will integrate software features, debug hardware/software interfaces, develop automation tools, and provide technical leadership.

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

The Operations Test Engineer will lead field test deployments for autonomous systems, ensuring safety standards and system validations, while collaborating with various engineering teams.

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

Lead data science efforts for autonomy and safety, deliver insights across domains, and shape the future of the data science team.

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.

The recruiter will focus on hiring for R&D roles in a fast-growing technical startup, specifically in Machine Learning, Robotics, and Cloud Infrastructure. They will collaborate with a diverse team to attract top talent.

Lead the development of an embedded Linux OS for autonomous construction machines, focusing on optimization, kernel customization, and device management.

The Safety Engineer will define and implement safety strategies, conduct risk assessments, ensure compliance with safety standards, and collaborate with engineering teams on safety design.

Build and scale the infrastructure for robotics development, managing simulation and data platforms to support large-scale testing and development.

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

Lead the development of embedded software for autonomous construction machines, focusing on safety computing, software architecture, and compliance with safety standards.