Software Engineer Video Pipeline

WHAT YOU'LL DO

The Vehicle Autonomy (Robotics) team at Anduril develops aerial and ground-based robotic systems. The team is responsible for taking products like Ghost, Anvil, and our Sentry Tower from paper sketches to operational systems. We work in close coordination with specialist teams like Perception, Autonomy, and Manufacturing to solve some of the hardest problems facing our customers. We are looking for software engineers and roboticists excited about creating a powerful robotics stack that includes computer vision, motion planning, SLAM, controls, estimation, and secure communications.

The role of our video pipeline engineers is to develop real-time and asynchronous video feeds from remote deployments to web, virtual reality clients, computer vision front-end and back-end pipelines. Video pipeline engineers help design the ISR payloads for drones and the camera systems used in our other existing and future products. They also have some computer vision overlap with e.g. object detection. Extensive prior experience with relevant video technologies is not required for this role and is expected to be learned on the job.

REQUIRED QUALIFICATIONS

• Embedded software experience with C++/Rust
• BS degree in an engineering discipline
• General understanding of camera hardware and video formats
• Solid understanding of writing reliable, multi-threaded software
• Must be able to obtain and hold a U.S. Secret Security Clearance.

PREFERRED QUALIFICATIONS
The following (below) is not required but does indicate a good fit for the role and will be learned on the job as needed:

• Embedded Linux software development experience. NixOS experience a plus.
• Tools: vl42, ffmpeg, WebRTC, OpenCV/Python
• Formats: MP4, MPEG-TS, MISB KLV standards, H264 format, WebRTC/RTP
• Image formats: Demosaicing raw images, Color space conversions, pixel formats
• Linux platform: V4L2 camera API, VA-API, ffmpeg, gstreamer, OpenGL
• Nvidia Jetson platform: Tegra video encoding/decoding, V4L2 extensions, EGL
• Advanced camera controls: XU extension unit interface, region of interest (ROI), analog versus digital gain
• Experience integrating cameras into computer vision pipelines
• Image processing experience with: Denoising, contrast enhancement, super-resolution, auto-focus, auto-exposure, auto-white-balance
• MIPI camera bringup (Linux kernel drivers)

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