Senior Embedded Real-Time Video Engineer (C++/Rust)

Linuxconfig

Seattle (WA)

Hybrid

USD 141,000 - 225,600

Full time

14 days+
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Benefits offered by this job

Competitive salary and 401k with EMP.
Discretionary paid time off
Paid parental leave for all
Fitness Programs
Emotional & Mental Wellness support
Employee Resource Groups (ERGs)
Snacks in our offices

Job summary

Axon is seeking a motivated software engineer to build the native software behind real-time video streaming for Axon Body cameras and Fusus edge devices. You’ll develop high-performance systems software enabling low-latency streaming from edge to cloud.

You’ll collaborate across embedded, cloud, and ML teams to shape architecture, mentor peers, and drive robust streaming capabilities in a hybrid Seattle environment.

Qualifications

  • Proven experience building production software in modern C++ or Rust.
  • Experience designing, debugging, and optimizing native systems software.
  • Strong understanding of concurrency, performance, and software design fundamentals.
  • Comfortable collaborating across multiple layers of the software stack.

Responsibilities

  • Build modern C++ and Rust software powering real-time video streaming on Axon Body cameras and Fusus edge devices.
  • Improve performance, reliability, and maintainability of native streaming services.
  • Design native APIs and SDKs for edge, mobile, and cloud platforms.
  • Collaborate with embedded, cloud, and ML engineers to deliver new streaming capabilities.
  • Help shape architecture and technical direction of Axon’s native streaming platform.
  • Lead design discussions and mentor teammates through code reviews.

Skills

Modern C++ or Rust
Native systems software
Concurrency & performance
Cross-layer collaboration

Job description

Axon is seeking a motivated software engineer to build the native software behind real-time video streaming for Axon Body cameras and Fusus edge devices. You’ll develop high-performance systems software enabling low-latency streaming from edge to cloud.

You’ll collaborate across embedded, cloud, and ML teams to shape architecture, mentor peers, and drive robust streaming capabilities in a hybrid Seattle environment.

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