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Senior/Staff Embedded Software Engineer - Camera Systems

Backend Developer • On-site • Full-time • 📍 San Mateo

As a key member of the end-to-end imaging team, you will leverage deep expertise in ISP pipelines and Linux-based SoCs to architect and develop cutting-edge camera subsystems for current and next-generation products.

Responsibilities

  • Lead development and integration of camera subsystems
  • Design and bring up ISP and camera hardware
  • Configure and optimize ISP and encoder pipelines
  • Collaborate with image quality, calibration and test teams to deliver production-ready camera software
  • Develop next-generation image processing algorithms for autonomous flight applications
  • Bring up and debug new hardware platforms and prototypes

Requirements

  • Proven experience with ISP development on ARM-based Linux/Android SoCs, especially Qualcomm platforms
  • Deep understanding of ISP pipeline architecture, including front-end, Bayer processing and post-processing
  • Strong background in algorithm development across CPU, DSP, GPU and ISP pipelines
  • Hands-on experience with real-time 3A algorithms
  • Familiarity with Android Camera HAL3, Linux V4L2, AVC and HEVC standards
  • Experience with GStreamer and GPU shader-based implementations for image processing
  • Strong embedded development experience, including firmware for physical hardware
  • Proficiency in modern C++ in real-time, embedded environments
  • Python scripting and development skills

Nice to have

  • Obtaining FAA Part 107 certification within the first 60 days of employment

Soft skills

Commitment to writing clean, maintainable, well-abstracted codeSkilled in hardware bring-up and low-level debugging

What we offer

  • Competitive base salary and equity in the form of stock options
  • Comprehensive health insurance plans
  • Paid vacation, sick leave and holiday pay
  • 401K savings plan
  • Relocation assistance for eligible roles

About the company

Skydio designs and manufactures fully autonomous drones that pair state-of-the-art hardware with advanced computer vision and machine learning so users always have access to the visual information they need.

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