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Rivet Industries

Senior Software Engineer, Perceptual Calibration

San Jose, CA; Bellevue, WAOnsite · United States
Senior · FullTime · Engineering, Product, & Design
POSTED 22 OCTVERIFIED 6H AGO
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Role
18 days opentrue age
Posted 22 Oct
Payats field
$210k–290kposted
▲ +22% vs market median $205k
$182k$290k
Market p25–p75
$182k–$229k
Rivet Industries p25–p75
$204k–$251kn=4
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1H-1B LCAs · FY26
LCAs FY26 · n=1 · to 2026-05-11
Android

About Rivet

Rivet is an American company building integrated task systems — fusing hardened hardware with software, sensors, AI, and networking — for industrial workforces and defense personnel. We create capabilities that multiply the effectiveness of every individual and withstand the world’s toughest environments.

We serve the people who build, operate, maintain, and defend our way of life. From technicians and engineers to first responders and service members, they embody the hard work, ingenuity, and meritocratic values that drive Western prosperity. Yet too often they are forced to rely on outdated tools that fail under modern pressures. Rivet exists to reset that priority.

At Rivet, you’ll join a mission-driven team that fuses disciplines to deliver decisive outcomes where they matter most. Whether shaping our technology, strengthening our partnerships, or building our culture, every role here contributes to equipping the front lines with the modern systems they deserve.

Work Authorization Requirement: Due to the nature of our business and compliance with federal regulations, all candidates must be a "U.S. Person". Upon hire, you will be required to provide documentation verifying your status as a U.S. Citizen, a lawful permanent resident, or a protected individual under 8 U.S.C. 1324b(a)(3).

Summary

Rivet is looking for a hands-on Senior Software Engineer to own perceptual calibration for our next-generation AR wearables and devices running Android and embedded Linux. Accurate camera, IMU, and display calibration is what every tracking and display experience rests on: it keeps tracking stable, overlays registered to the real world, and rendering comfortable. This role spans calibration algorithms, calibration station and process design, and factory deployment, taking calibration from the lab bench to factory production lines. You will work closely with hardware, mechanical, robotics, perception, and manufacturing teams to deliver calibration that is accurate, repeatable, and efficient at production scale.

Responsibilities

Build computer vision and signal processing algorithms that calibrate the geometric intrinsics, extrinsics, and time offsets of cameras, IMUs, and XR displays.

Develop perceptual calibration processes for Rivet’s range of wearables and devices, covering calibration 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 (CMs) 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 backed by automated and agentic diagnosis and documented runbooks.

Reduce calibration cycle time through software profiling and refinement, additional or alternative station hardware, and process pipelining.

Develop tooling, visualization, and debugging workflows for end-to-end validation of perceptual calibration, including lab verification of factory calibration results.

Partner with hardware, mechanical, optical, and electrical engineering, robotics, perception, and manufacturing teams to set calibration requirements, design-for-calibration tolerances, and station specifications, and to deliver calibrated products end-to-end.

Requirements

Proven hands-on experience shipping camera, IMU, and/or display calibration solutions into production devices, from lab prototype through factory ramp.

Demonstrated hands-on ability to debug calibration failures, with a deep understanding of both the front-end perception (target detection, feature extraction, data association) and back-end optimization (sensor models, nonlinear least squares, observability) components of geometric calibration pipelines.

PhD + at least 3 years (or MS + at least 7 years) of relevant professional experience.

Experience with robot arms or motion stages for calibration data capture.

Source · Rivet IndustriesFirst seen 2 NovOriginal ↗