Bedrock Robotics Inc

Perception Sensor Software Engineer

Full-time · San Francisco, CA (Remote)
✓ Verified live on the employer's own system · added 190 days ago
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Mid-level · 4+ yrs exp

Requirements

Education: Master's degree or related field

Experience: 4+ years

Skills & tools

Behavioral SupportMachine LearningPythonC Plus PlusRustData Analysis
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Full job description

we're looking for a Senior Perception Sensor Software Engineer to own sensor validation and data quality for our safety-critical system. You'll ensure that the camera, lidar, and IMU data feeding our perception and behavior models is trustworthy and rigorously characterized. You'll detect when system performance degrades and quantify its impact on our ability to operate safely.

You'll shape how we build our sensor data representations, and partner closely with the teams working on object detection, tracking, and behavior planning.

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

- 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

Ways to Stand Out of the Crowd: (One or more of the following)

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

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

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

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This posting was published by Bedrock Robotics Inc on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.