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As Senior Systems Software Engineer for Vision, you will design, develop, and optimize the vision subsystem that powers our humanoid robots. You will work across hardware, firmware, AI, and platform teams to build low‑latency, high‑throughput vision systems that operate in real‑time on robot hardware.
Job Responsibility:
Create and implement novel techniques to minimize system latency and computational load
Utilize GPU acceleration for image processing and inference tasks, ensuring high performance and responsiveness in real‑time applications
Develop low‑latency vision systems by integrating cameras, sensors, and image‑processing algorithms to enhance robotic perception
Build and optimize real‑time streaming solutions, with efficient compression, decompression, and data transmission under limited compute resources
Collaborate closely with cross‑functional teams to integrate vision systems into the overall robot architecture, contributing to teleoperation and autonomy stacks
Requirements:
Strong experience with Linux and C++ programming
Proven experience building large software applications in relevant domains
Proficiency in managing memory and hardware resources in C++ and/or Rust
Strong skills using C‑APIs to access low‑level system resources (e.g. V4L, POSIX, OpenGL, CUDA)
Deep understanding of OS primitives and experience applying them in real‑time systems
Demonstrated ability to optimize for low latency and high throughput on modern CPUs
Experience working with hardware accelerators through low‑level C‑APIs
Background in systems where latency is critical (such as robotics, real‑time control, gaming engines, or similar)
Nice to have:
Understanding of modern CMOS cameras and image signal processing
Experience with video encoding/decoding and media streaming protocols (e.g. RTSP, RTP, SDP, WebRTC)
Knowledge of forward error correction techniques for unreliable network streams
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