Internship - Hardware

Plix

  • San Mateo
  • 30+ days ago
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    Skills

    • Androidunmatched
    • Artificial Intelligence (AI)unmatched
    • C++ Programming Languageunmatched
    • Computer Firmwareunmatched
    • Computer Skillsunmatched
    • Computer Visionunmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Integrationunmatched
    • Debugging Skillsunmatched
    • Dockerunmatched
    • Embedded Softwareunmatched
    • Embedded Systemsunmatched
    • GitHubunmatched
    • Halunmatched
    • Hardware Designunmatched
    • Internet of Thingsunmatched
    • Javaunmatched
    • Kotlinunmatched
    • Linux Operating Systemunmatched
    • Operational Strategyunmatched
    • Performance Tuning/Optimizationunmatched
    • Power Managementunmatched
    • Prototypingunmatched
    • Python Programming/Scripting Languageunmatched
    • Roboticsunmatched
    • Safety Alertsunmatched
    • Startupunmatched
    • System Operationsunmatched
    • Telemetryunmatched
    • Unmanned Aircraft Systems (UAS)unmatched
    • Wi-Fiunmatched
    • Wireless Communicationsunmatched

    Description

    About Plix
    Plix is a seed-stage startup with Stanford roots, supported by Samsara, Verkada, and Sequoia Capital. We are building the world’s first AI body cameras to provide real-time situational alerts to improve safety, security, and operational efficiency.

    Position Overview
    We’re looking for an engineering intern to help build a next-generation battery-powered rapid response camera, leveraging our existing body camera prototype. This role is ideal for someone with experience working on embedded Android systems and a deep understanding of optimizing computer vision applications for constrained environments (like battery and thermal limits). You’ll be working closely with the founding team to design and deploy a field-ready product. Start date is flexible.

    Responsibilities
    • Build and iterate on embedded Android software for a battery-operated body camera system
    • Optimize vision models and pipeline runtime performance to extend battery life
    • Profile and manage power consumption across compute, sensor, and wireless subsystems
    • Integrate computer vision models for motion detection, real-time alerting, or object recognition
    • Debug and improve system stability, telemetry, and update processes for edge devices
    • Collaborate with the founding team to define hardware/software tradeoffs and product direction

    Requirements
    • Experience developing for embedded Android systems (AOSP, HAL, low-level services)
    • Strong understanding of power management and performance optimization in constrained devices
    • Familiarity with battery profiling tools and techniques for Android or Linux-based devices
    • Proficient in C++, Python, and/or Java/Kotlin
    • Hands-on experience with deploying computer vision pipelines
    • Able to work independently and iterate quickly in a startup environment

    Preferred Qualifications
    • Familiarity with hardware bring-up, firmware, and interfacing with camera sensors and radios (e.g., LTE, Wi-Fi)
    • Experience working with real-time alerting systems or low-latency media pipelines
    • Previous work on robotics, drones, IoT, or camera-enabled hardware products
    • Comfort working with Docker, GitHub Actions, or CI/CD for embedded systems
    • Prior startup or early-stage prototyping experience

    Numbers & Facts

    LocationSan Mateo

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