Bedrock Robotics
Staff SWE, Embedded Linux OS
Bedrock Robotics, San Francisco, California, United States, 94199
Helping build a robotics startup with a team of industry veterans.
We’re building out our first fleet of retrofitted autonomous construction machines and we’re looking for a software engineer to lead the development of our embedded Linux OS. Your day to day will revolve around:
Managing our embedded Linux system including flashing, kernel customization, device drivers optimization, user space management, NVME
Optimizing the Linux system for our embedded platform (real‑time, c‑groups, etc.)
Working closely with our compute supplier
Bringing up GPUs on embedded systems, optimizing communication, etc.
Optimizing ML libraries (CUDA, ONNX, TensorFlow, etc.)
Background & Qualifications Background:
10+ years of experience in OS‑related work (Android, iOS), data center servers, robotics systems
Ways to stand out from the crowd
Background knowledge in sensor and compute systems including cameras, lidars, radars, GNSS, IMUs, edge compute, and embedded controllers
Optimization of camera / Lidar pipelines
Experience with the Rust programming language
Other Special Aspects of the Role
Based in Bay Area with ability to be onsite at our testing facility and SF office on a daily/weekly basis
Join the team bringing advanced autonomy to the built world
At Bedrock, we've assembled one of the most experienced autonomous technology teams in the industry, with deep expertise scaling breakthroughs across transportation, infrastructure, and enterprise software. Our leaders helped put the first self‑driving cars on public roads at Waymo, scaled systems for Segment's $3.2B acquisition, and grew Uber Freight to $5B in revenue.
While others debate the future of AI, we're deploying it in the real world. Our systems are already installed on heavy machines across the country, learning on real construction sites and working to reshape the earth with survey‑grade precision and exceptional safety. This isn't a simulation—it's autonomous intelligence working on billion‑dollar infrastructure projects.
In just over a year, we've raised $80M, put our equipment into the field, and established partnerships with forward‑thinking contractors who are integrating our technology into their operations. We're working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage.
Here, algorithms meet steel‑toed boots. You'll collaborate with both construction veterans and experienced engineers, tackling problems where your work directly impacts how the physical world gets built. If you're interested in applying cutting‑edge technology to solve meaningful problems alongside a talented team—we'd love to have you join us.
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Managing our embedded Linux system including flashing, kernel customization, device drivers optimization, user space management, NVME
Optimizing the Linux system for our embedded platform (real‑time, c‑groups, etc.)
Working closely with our compute supplier
Bringing up GPUs on embedded systems, optimizing communication, etc.
Optimizing ML libraries (CUDA, ONNX, TensorFlow, etc.)
Background & Qualifications Background:
10+ years of experience in OS‑related work (Android, iOS), data center servers, robotics systems
Ways to stand out from the crowd
Background knowledge in sensor and compute systems including cameras, lidars, radars, GNSS, IMUs, edge compute, and embedded controllers
Optimization of camera / Lidar pipelines
Experience with the Rust programming language
Other Special Aspects of the Role
Based in Bay Area with ability to be onsite at our testing facility and SF office on a daily/weekly basis
Join the team bringing advanced autonomy to the built world
At Bedrock, we've assembled one of the most experienced autonomous technology teams in the industry, with deep expertise scaling breakthroughs across transportation, infrastructure, and enterprise software. Our leaders helped put the first self‑driving cars on public roads at Waymo, scaled systems for Segment's $3.2B acquisition, and grew Uber Freight to $5B in revenue.
While others debate the future of AI, we're deploying it in the real world. Our systems are already installed on heavy machines across the country, learning on real construction sites and working to reshape the earth with survey‑grade precision and exceptional safety. This isn't a simulation—it's autonomous intelligence working on billion‑dollar infrastructure projects.
In just over a year, we've raised $80M, put our equipment into the field, and established partnerships with forward‑thinking contractors who are integrating our technology into their operations. We're working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage.
Here, algorithms meet steel‑toed boots. You'll collaborate with both construction veterans and experienced engineers, tackling problems where your work directly impacts how the physical world gets built. If you're interested in applying cutting‑edge technology to solve meaningful problems alongside a talented team—we'd love to have you join us.
#J-18808-Ljbffr