Senior Software Engineer, Perceptual Calibration

Rivet Industries•San Jose, CA

About The Position

Rivet is seeking a hands-on Senior Software Engineer to own perceptual calibration for next-generation AR wearables and devices running Android and embedded Linux. The role focuses on accurate camera, IMU, and display calibration that supports stable tracking, real-world-aligned overlays, and comfortable rendering. It spans calibration algorithms, calibration station and process design, and factory deployment, taking calibration from laboratory development to production lines. The engineer will work across hardware, mechanical, robotics, perception, and manufacturing teams to deliver accurate, repeatable, efficient calibration at production scale. Candidates must be a U.S. Person, as defined in the posting. Upon hire, documentation verifying U.S. citizenship, lawful permanent residence, or protected-individual status under 8 U.S.C. 1324b(a)(3) is required. Compensation may vary based on experience, skills, education, and other job-related factors. The role may be eligible for equity and other compensation, and eligible employees receive benefits including unlimited PTO.

Requirements

Hands-on experience shipping camera, IMU, and/or display calibration solutions into production devices, from laboratory prototype through factory ramp.
Hands-on ability to debug calibration failures and deep understanding of front-end perception, including target detection, feature extraction, and data association, and back-end optimization, including sensor models, nonlinear least squares, and observability.
PhD and at least 3 years, or MS and at least 7 years, of relevant professional experience.
Experience with robot arms or motion stages for calibration data capture.
Strong background in multi-view geometry, camera and IMU sensor models, coordinate frames, nonlinear optimization, and statistics.
Proficiency in C++ or Rust for performance-critical code and Python for analysis, automation, and tooling.
Experience developing on Android or embedded Linux devices.
Strong understanding of performance optimization, profiling, synchronization, and CPU/GPU/memory tradeoffs.
Ability to partner across hardware, mechanical, robotics, perception, and manufacturing teams, and with contract manufacturers.
U.S. Person status, with documentation required upon hire.

Nice To Haves

Experience with SLAM, visual-inertial odometry (VIO), or online calibration.
Experience calibrating XR displays, including distortion, binocular alignment, and display-to-camera extrinsics.
Experience building wearable, robotics, aerospace, defense, or embedded perception systems.
Working knowledge of manufacturing test statistics, including GR&R, DOE, SPC, and Cpk, and high-volume factory bring-up.

Responsibilities

Build computer vision and signal-processing algorithms to calibrate geometric intrinsics, extrinsics, and time offsets for cameras, IMUs, and XR displays.
Develop perceptual calibration processes for Rivet wearables and devices, including station design, sensor and target selection, metrology hardware requirements, and controlled data-capture conditions.
Deploy data-capture processes and calibration binaries to factory sites, working with contract manufacturers through bring-up, ramp, and mass production.
Set factory calibration limits using Gage Repeatability & Reproducibility (GR&R) studies and Design of Experiments (DOE), and establish failure-analysis processes supported by automated and agentic diagnosis and documented runbooks.
Reduce calibration cycle time through software profiling and refinement, station hardware changes, and process pipelining.
Develop tooling, visualization, and debugging workflows for end-to-end perceptual-calibration validation, including laboratory verification of factory calibration results.
Partner with hardware, mechanical, optical, electrical engineering, robotics, perception, and manufacturing teams to set calibration requirements, design-for-calibration tolerances, and station specifications, and deliver calibrated products end to end.