About the job
Join Our Visionary Team Revolutionizing Construction with Advanced Autonomy
At Bedrock Robotics, we are committed to transforming artificial intelligence from theoretical concepts into practical applications that enhance the real world. Our talented team consists of seasoned professionals who played pivotal roles in the inception of Waymo, the scaling of Segment to a $3.2 billion acquisition, and the growth of Uber Freight to $5 billion in revenue. We are at the forefront of deploying autonomous systems on heavy construction machinery nationwide, significantly improving the timelines of multi-billion-dollar infrastructure projects while enhancing job site safety.
With $350 million in backing, we are rapidly addressing the increasing demand for housing, data centers, and manufacturing facilities while tackling the construction industry's labor shortages.
This role is where cutting-edge algorithms intersect with hands-on construction. You will work alongside industry veterans and elite engineers to tackle real-world challenges that simulations alone cannot resolve. If you are eager to leverage groundbreaking technology to address significant issues and collaborate with a talented team, we invite you to apply.
The Integration Engineer at Bedrock Robotics, Inc. will be based in San Francisco, CA. This role is crucial for the design, manufacturing, and testing of our autonomous hardware and software systems. You will be responsible for maintaining uptime, troubleshooting, and resolving fleet-related issues. Additionally, you will bridge the gap between our technical stack (software, hardware, and everything in between) and business applications, guiding the development and deployment of autonomous machines in both new and existing construction projects.
Key responsibilities include: (i) integrating hardware and software components to create functional autonomous machines; (ii) conducting fleet issue triage, including debugging and disassembling machines to determine root causes of reported issues; (iii) designing new computer systems optimized for autonomous operations; (iv) integrating new sensors and collaborating with software engineers to develop back-end solutions for data accessibility; and (v) machine integration, which involves evaluating the electrical, mechanical, and software architecture of control systems, along with contributing to hardware and software design reviews.
This position offers a hybrid work environment, allowing employees to work remotely within the United States, with a requirement to be present in the San Francisco office at least three days a week. While remote work is permitted, no travel is necessary beyond regular commuting.

