Rust, Embedded, Computer Vision developer in SoftSuccessora

Rust + Computer Vision Engineer Requirements

• Deep understanding of ownership/borrowing, lifetimes, traits, generics.

• Async Rust: Tokio, async/await, understanding Send/Sync.

• Ability to write efficient multi-threaded and asynchronous code.

• Experience in creating libraries and services in Cargo Workspaces.

• Performance optimization: profiling (perf, flamegraph).

• Practice with unsafe Rust, writing safe wrappers on C/C++ (FFI).

• Working with Linux: file descriptors, sockets, epoll, memory mapping.

2. Working with video

• GStreamer (gstreamer-rs): creating a pipeline for low-latency processing.

• Video capture from USB UVC, MIPI CSI, analog cameras (CVBS). Embedded / Hardware / ARM

  • Working with ARM devices (Raspberry Pi, Jetson, OrangePi).

  • CV/NN optimization under ARM NEON SIMD.

  • Working with peripherals: SPI/UART/I2C, thermal imagers, sensors.

  • Working with cameras: MIPI, USB.

  • Low-level drivers: reading frames directly from /dev/video*.

  5. Network services and protocols

  • Development of high-performance Rust services on:

    • Axum / Actix-web,

    • WebSocket, gRPC (tonic),

    DevOps / Testing / Quality

    • GitHub Actions / GitLab CI, Docker for multi-stage Rust builds.

    • Static analysis: clippy, rustfmt, cargo-audit.

    • Logging and telemetry