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About the Role

Join Bedrock in applying cutting-edge AI technology to solve meaningful physical-world problems in the construction industry. You will collaborate with construction veterans and world-class engineers to develop fundamental perception features for customer-facing analytics platforms, measuring dig productivity, site safety, and object re-identification across large construction sites.

Responsibilities

• Develop perception algorithms for re-identification of vehicles on massive construction sites.
• Extend, modify, and adapt existing perception signals for analytics needs.
• Collaborate with customers to define and scope the possibilities of advanced on-site perception systems.
• Deploy models and analytics directly to fleets of machines.

Requirements

• MSc or advanced degree in Computer Science, Robotics, or a related field.
• 4+ years of professional experience shipping perception systems to production, ideally on robotic or other embedded platforms.
• Strong hands-on experience in a modeling framework (e.g., PyTorch).
• Proficient in Python and comfortable reading and writing at least one systems language (e.g., C++, Rust).
• Hands-on experience incorporating raw sensor data (camera, lidar, IMU) into learned pipelines.
• Solid grounding in 3D geometry, sensor calibration (intrinsics/extrinsics), coordinate transforms, and camera/image re-projection algorithms.
• Strong data analysis skills across statistical characterization of sensor data, corner-case and anomaly discovery, and evaluation design.

Skills

• PyTorch
• Python
• C++
• Rust
• 3D geometry
• Sensor calibration
• Coordinate transforms
• Camera/image re-projection algorithms
• Data analysis
• Object re-ID

Location

• Bay Area
• San Francisco, CA
• New York, NY

Work Type

• Onsite
• Hybrid

Experience Level

• 4+ years of professional experience

Education Level

• MSc or advanced degree in Computer Science, Robotics, or a related field

About the Company

• Bedrock is moving AI out of the lab and into the real world, deploying autonomous systems on heavy construction machinery.
• The team includes veterans from Waymo, Segment, and Uber Freight.
• Backed by $350M in funding, Bedrock is addressing the construction industry's labor shortage by accelerating infrastructure projects.
• The company is focused on applying cutting-edge technology to solve meaningful problems.