Bedrock Robotics
Embedded Software Engineer - Middleware
Bedrock Robotics, San Francisco, California, United States, 94199
Overview
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 middleware software. Your day to day will revolve around the development of the on board middleware infrastructure for our automated machine. This role focuses on developing: Communication system via Publisher/Subscriber methodology with sub microsecond latency even with large size messages Scheduler to manage large amount of subsystems Subsystem launcher and module system that allows to launch your robot’s subsystems with full dependency support, coordinated across multiple computers Embedded real time sub systems Real time capable zero-copy Interface Definition Language Responsibilities
Lead the development of onboard middleware software for autonomous construction machines Design and implement communication, scheduling, subsystem launching, and real-time subsystems Develop embedded real-time software components and interfaces Background / Qualifications
Proficiency in Python / C++. Rust is a big plus 10+ years of experience in robotics, autonomous systems Understanding of autonomous systems, infrastructure, and operations Ways to stand out
Background knowledge in sensor and compute systems including cameras, lidars, radars, GNSS, IMUs, edge compute, and embedded controllers Experience on a middleware for an autonomous vehicle Embedded Linux OS knowledge (kernel optimization, camera device driver, performance tooling) Other 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 Notes
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. 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Embedded Software Engineer Location
Bay Area / onsite at testing facility and SF office on a daily/weekly basis Note: Salary ranges and location postings shown in the original listing are retained for context where provided.
#J-18808-Ljbffr
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 middleware software. Your day to day will revolve around the development of the on board middleware infrastructure for our automated machine. This role focuses on developing: Communication system via Publisher/Subscriber methodology with sub microsecond latency even with large size messages Scheduler to manage large amount of subsystems Subsystem launcher and module system that allows to launch your robot’s subsystems with full dependency support, coordinated across multiple computers Embedded real time sub systems Real time capable zero-copy Interface Definition Language Responsibilities
Lead the development of onboard middleware software for autonomous construction machines Design and implement communication, scheduling, subsystem launching, and real-time subsystems Develop embedded real-time software components and interfaces Background / Qualifications
Proficiency in Python / C++. Rust is a big plus 10+ years of experience in robotics, autonomous systems Understanding of autonomous systems, infrastructure, and operations Ways to stand out
Background knowledge in sensor and compute systems including cameras, lidars, radars, GNSS, IMUs, edge compute, and embedded controllers Experience on a middleware for an autonomous vehicle Embedded Linux OS knowledge (kernel optimization, camera device driver, performance tooling) Other 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 Notes
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. 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Embedded Software Engineer Location
Bay Area / onsite at testing facility and SF office on a daily/weekly basis Note: Salary ranges and location postings shown in the original listing are retained for context where provided.
#J-18808-Ljbffr