Senior Sensor Systems & Calibration Engineer

About the Role

We are seeking a highly skilled and versatile Senior Sensor Systems & Calibration Engineer to build and scale our hardware, software, and process infrastructure that ensures the accuracy and reliability of our advanced multi-sensor perception and compute systems.

In the near term, you will develop and sustain the physical calibration environments: turntables, fixtures, targets, markers, and alignment rigs, that enable precise multi-sensor calibration for early vehicle platforms. Over time, you will drive the evolution of these workflows toward software-driven, automated, and production-ready solutions, partnering with perception, systems, and platform teams to ensure our calibration strategy scales with fleet and platform growth.

This role bridges hardware integration, sensor calibration, software tooling, and operational readiness. You will define SOPs, quality gates, and data integrity practices that enable high-throughput, repeatable calibration, whether performed manually, via hybrid workflows, or through fully automated software pipelines.

What You'll Do

• Own setup, maintenance, and continuous improvement of early hardware-based calibration environments, including turntables, optical targets, alignment fixtures, and sensor characterization rigs.
• Develop, document, and refine SOPs for calibration and sensor alignment workflows to ensure repeatability, safety, and scale-out readiness across labs and cities.
• Collaborate with perception, systems, and hardware engineering teams to define calibration requirements, ensuring both hardware and software approaches meet accuracy and throughput goals.
• Establish and maintain calibration data integrity practices, including labeling standards, versioning, traceability, and automated data checks.
• Partner with software engineers to build or integrate software-based calibration tools, automation scripts, and validation pipelines as we transition away from hardware-heavy approaches.
• Design scalable calibration and QC workflows that can be executed reliably by vendors, regional operations teams, and automated pipelines.
• Analyze calibration performance data and field feedback to drive continuous improvements in accuracy, robustness, and reliability.
• Support integration and validation efforts for new sensor and compute configurations, including bench-level testing and first-article vehicle builds.
• Coordinate with facilities and operations teams on lab layouts, environmental controls, equipment uptime, and safety compliance.
• Train and mentor technicians and cross-functional partners on calibration methods, equipment handling, data integrity, and workflow adoption.

• 5+ years of hands-on experience in sensor calibration, hardware testing, systems integration, or related engineering roles in automotive, robotics, aerospace, or industrial environments.
• Strong understanding of multi-sensor calibration fundamentals (camera, LiDAR, radar, IMU, or similar).
• Experience developing and executing SOPs, test procedures, or quality processes for complex systems.
• Proficiency in measurement and diagnostic tools (oscilloscopes, alignment lasers, calibration targets, optical measurement systems).
• Solid foundation in Linux command line and scripting (bash, Python, or similar) for calibration automation, data checks, or workflow tooling.
• Excellent organizational, documentation, and communication skills, with a focus on rigor, clarity, and repeatability.
• Proven ability to work cross-functionally in lab, production, or fleet environments and manage complex workflows.

• Experience with vehicle perception systems or multi-sensor calibration frameworks (e.g., Kalibr, OpenCV calibration tools, ROS-based workflows).
• Solid understanding of 3D geometry, linear algebra, and numerical optimization techniques (e.g., least squares, non-linear optimization libraries like Ceres or g2o).
• Experience with photogrammetry or Structure from Motion (SfM).
• Familiarity with deep learning-based approaches for sensor calibration.
• Hands-on experience with camera models (pinhole, fisheye) and LiDAR/radar point cloud processing
• Familiarity with software-based calibration pipelines, perception model alignment, or automated sensor validation tooling.
• Background in hardware automation, test infrastructure design, or scaling calibration throughput.
• Ability to balance hands-on equipment work with system-level design, tooling ownership, and documentation for large-scale operational rollout.
• Bachelor's degree in Mechanical, Electrical, Robotics, or Systems Engineering (or equivalent practical experience).