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Bedrock Robotics

Software Engineer, State Estimation & Localization

San Francisco, CA (Remote)fulltimemidAdded today

About this role

Bedrock is seeking a Software Engineer to develop state-estimation and localization systems for autonomous construction equipment. You'll design and deploy algorithms that fuse sensor data from GNSS, IMUs, lidar, and machine systems to enable precise positioning and safe operation in real-world, dynamic environments.

What you'll do

  • Design and deploy state-estimation algorithms combining GNSS, IMU, lidar, and machine-sensor data for real-time position and motion estimates
  • Improve system reliability through sensor monitoring, fault detection, confidence estimation, and graceful degradation
  • Build ground-truth systems, offline estimators, and regression tests to measure performance and identify failures
  • Handle asynchronous and intermittent sensor measurements, addressing delays and out-of-order data
  • Diagnose issues using field data, replay systems, and simulation, then validate fixes on physical machines
  • Collaborate with controls, perception, safety, and hardware teams to optimize the complete autonomy system

What they're looking for

  • Kalman filtering and probabilistic estimation
  • Linear algebra and 3D geometry
  • GNSS/INS fusion and sensor fusion techniques
  • Rust or modern C++
  • Lidar odometry and point-cloud processing
  • Sensor calibration and timing synchronization
  • Data analysis and debugging across hardware/software/algorithms
  • Nonlinear optimization and factor graphs
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Bedrock Robotics

Bedrock Robotics develops autonomous construction machinery powered by AI and robotics technology. The company is hiring for roles spanning developer infrastructure, simulation systems, hardware engineering, field robotics application, and frontend engineering to support the development and deployment of autonomous excavators and heavy equipment.

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Likely interview questions

  • Describe a state-estimation system you've built for autonomous vehicles or robots—what sensors did you fuse, and how did you handle sensor failures?
  • How have you approached sensor calibration, and what was your strategy for validating calibration accuracy in the field?
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