Bedrock Robotics
Software Engineer, Sensor Validation / Calibration
Bedrock Robotics, San Francisco, California, United States, 94199
Software Engineer, Sensor Validation / Calibration
The Role
Bedrock is bringing autonomy to the construction industry! We’re a group of veterans from the autonomous vehicle industry who are passionate about bringing the benefits of automation to areas in the construction industry currently underserved by the market. We’re building out our first fleet of retrofitted autonomous construction machines and we’re looking for a Perception Engineer to work on sensor validation and data quality. Your day to day work will be:
Developing the sensor validation framework and algorithms for our safety critical system Developing ML models and novel approaches to sensor data validation and anomaly detection Developing metrics and evaluation frameworks for measuring sensor data quality
Background MSc or advanced degree in Computer Science and/or robotics Practical experience applying ML with deep learning frameworks, such as PyTorch, to solve real-world problems Proficiency in Python and comfort with at least one systems language (e.g., C++, Rust) Experience deploying ML models to robotic systems or other physical platforms Experience incorporating raw sensor data like camera, lidar, radar, IMUs, etc into deep learning algorithms Strong data analysis skills (Data munching, statistical analysis)
Ways to Stand Out from the Crowd Experience with the Rust programming language
Other Special Aspects of the Role Based in the Bay Area with the ability to be onsite at our testing facility and SF office on a daily/weekly basis
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 of 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 get 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
Developing the sensor validation framework and algorithms for our safety critical system Developing ML models and novel approaches to sensor data validation and anomaly detection Developing metrics and evaluation frameworks for measuring sensor data quality
Background MSc or advanced degree in Computer Science and/or robotics Practical experience applying ML with deep learning frameworks, such as PyTorch, to solve real-world problems Proficiency in Python and comfort with at least one systems language (e.g., C++, Rust) Experience deploying ML models to robotic systems or other physical platforms Experience incorporating raw sensor data like camera, lidar, radar, IMUs, etc into deep learning algorithms Strong data analysis skills (Data munching, statistical analysis)
Ways to Stand Out from the Crowd Experience with the Rust programming language
Other Special Aspects of the Role Based in the Bay Area with the ability to be onsite at our testing facility and SF office on a daily/weekly basis
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 of 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 get 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