Jobs · Engineering · California

Perception Sensor Software Engineer

Bedrock Robotics · San Francisco, CA · 5 mo ago
HybridEngineering$5/hrFull-time

About the role

Join the team bringing advanced autonomy to the built world at Bedrock. We deploy autonomous systems on heavy construction machinery across the country, accelerating project schedules and improving safety on job sites.

Responsibilities

  • Own the sensor validation framework for our safety-critical system

  • Develop ML models and novel approaches for sensor data validation and anomaly detection across camera, lidar, IMU, and all other sensors on our robots

  • Build the data pipelines, ground-truth infrastructure, and evaluation frameworks that quantify sensor data quality and expose corner cases

  • Partner closely with the perception and behavior teams so they can deeply understand and trust the data feeding their models

Requirements

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

  • 4+ years of professional experience shipping deep learning models to production (ideally on robotic or other embedded platforms), with strong hands-on experience in PyTorch or another deep learning framework

  • 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 deep learning 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

Qualifications

  • Deep knowledge of sensor physics: noise models, failure modes, how environmental conditions affect lidar and cameras

  • Prior experience with safety-critical systems

  • Experience with the Rust programming language

  • Published work in top-tier venues such as ICRA, IROS, CVPR, ECCV, ICCV, CoRL, or RSS

Skills

  • Deep knowledge of sensor physics: noise models, failure modes, how environmental conditions affect lidar and cameras

  • Prior experience with safety-critical systems

  • Experience with the Rust programming language

  • Published work in top-tier venues such as ICRA, IROS, CVPR, ECCV, ICCV, CoRL, or RSS

Benefits

  • Based in the Bay Area with the ability to be onsite at our testing facility and SF office 3-4 days a week

  • Flexible role

Pay

Competitive salary commensurate with experience

Schedule

Full-time, remote option available

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