R&D

Algorithm Engineer (Edge Deployment)

Location
Bio Island, Huangpu, Guangzhou
Department
R&D
Employment Type
Full-time
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Responsibilities

  • Quantize, deploy, and accelerate vision/behavior models on edge devices
  • Adapt models to Jetson, Ascend, Rockchip, and other edge platforms
  • Design technical solutions and integrate algorithms into products
  • Collaborate on integration testing and optimize latency, stability, and resource usage
  • Provide technical support for deployment and performance issues
  • Cross-functional collaboration to deliver project goals

Requirements

  • Bachelor's or above in CS, AI, EE, automation, or math; master's preferred
  • 1+ year edge deployment experience; strong fresh graduates with relevant projects welcome
  • Strong Python and C/C++ programming skills
  • Familiar with PyTorch training workflows
  • Experience with export, quantization, and on-device inference
  • TensorRT, ONNX Runtime, OpenVINO, RKNN, Ascend CANN, or similar
  • Understand CPU/GPU/NPU characteristics for deployment tuning
  • Strong problem solving, engineering delivery, and teamwork

Preferred

  • Ownership, self-drive, and continuous learning
  • Hands-on Jetson, Ascend, Rockchip, Horizon, or Cambricon deployment experience
  • Edge deployment experience in detection, pose, tracking, or behavior recognition
  • Embedded Linux and on-device performance analysis experience
  • Publications, competitions, or open-source projects a plus