Internship - Hardware
Location: San Mateo
Department: Engineering
Location Type: IN_OFFICE
Employment Type: FULL_TIME
- 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
- 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
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