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Internship - Hardware

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Before you apply
LocationSan Mateo, United States
Typefull-time
SeniorityEntry
DepartmentEngineering
Company size8+ people
PostedMay 19, 2025 · 1y ago
Verified live3d ago
May no longer be actively hiring
Posted by the company on May 19, 202575% of this company's open roles have been listed for 90+ days
How we check a job is still live
At a glanceSummarised by Seekless from the posting.
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
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
Skills
C++
Python
Java
Kotlin
AOSP
Docker
GitHub Actions
LTE
Wi-Fi
About the company
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
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Build and iterate on embedded Android software for a battery-operated body camera system
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Optimize vision models and pipeline runtime performance to extend battery life
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Profile and manage power consumption across compute, sensor, and wireless subsystems
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Integrate computer vision models for motion detection, real-time alerting, or object recognition
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Debug and improve system stability, telemetry, and update processes for edge devices
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Collaborate with the founding team to define hardware/software tradeoffs and product direction
Requirements
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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