Samsara Inc. logo

Sr. Image Quality Tuning Engineer

Job Overview

Location

Remote - Taiwan

Job Type

Full-time

Category

Engineering

Date Posted

April 14, 2026

Full Job Description

đź“‹ Description

  • • The Sr. Image Quality Tuning Engineer will optimize image signal processing (ISP) pipelines for road and cabin-facing cameras in Samsara’s video-based safety and telematics products, ensuring image clarity and stability under high-motion and high-vibration conditions typical of commercial vehicles.
  • • Day-to-day responsibilities include tuning ISP blocks (Auto Exposure, Noise Reduction, Sharpening, Color Mapping), developing Python/MATLAB scripts for objective image quality metrics (MTF, SNR, Dynamic Range), managing tuning toolchains, performing regression analysis on IQ data, automating report generation with vibration robustness scores, and collaborating with cross-functional teams including Product Management, EE, PD, FW, EPM, NPI, and hardware leadership.
  • • Samsara is a publicly traded pioneer in the Connected Operations™ Cloud, serving industries representing over 40% of global GDP—including agriculture, construction, transportation, and manufacturing—by enabling data-driven insights from IoT to improve safety, efficiency, and sustainability. The company fosters a culture of customer success, long-term building, inclusivity, and teamwork.
  • • In this role, you will deepen expertise in automotive-grade image tuning, lead ISP optimization efforts impacting millions of vehicles, develop scalable automation tools for IQ validation, and contribute to product excellence through data-driven decision-making while working with global suppliers, JDM partners, and certification labs.

Skills & Technologies

Python
NumPy
Senior
Remote
Degree Required

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About Samsara Inc.

Samsara Inc. provides a cloud-based Industrial IoT platform that combines hardware sensors, cameras, and AI analytics to help commercial fleets and industrial organizations track vehicles, equipment, and sites in real time. The system captures data on location, fuel usage, driver behavior, asset utilization, and safety events, then presents insights through web and mobile dashboards to improve operational efficiency, reduce costs, and enhance safety and compliance for customers worldwide.

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