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Luxoft

Senior Vision Systems Engineer

9.0/10

Luxoft

$115,000 – $195,500 USD
Remote
senior
5 days ago
aitechcomputer visionAIC++OpenCVPyTorchTensorFlowONNX

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The vacancy is well-structured with clear responsibilities, compensation, and requirements, though company details could be enhanced.

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Description

What you'll do

  • •Design and implement advanced computer vision and image processing pipelines optimized for real-time consumer devices.
  • •Collaborate with ISP, sensor, and tuning teams to optimize image quality for downstream AI and UX performance.
  • •Develop and deploy ML models for visual recognition, enhancement, tracking, or scene understanding.
  • •Optimize ML models for edge deployment (quantization, pruning, distillation, hardware-aware tuning).
  • •Implement performance-critical algorithms in modern C++ for embedded platforms.
  • •Optimize for latency, power consumption, memory footprint, and thermal constraints.
  • •Integrate inference engines (TFLite, TensorRT, ONNX Runtime, etc.) on target SoCs.
  • •Work closely with Android/Linux platform teams to integrate camera and AI pipelines.
  • •Define and track KPIs: FPS, power usage, memory, startup time, and accuracy.
  • •Profile and optimize performance across CPU/GPU/NPU/DSP.
  • •Drive debugging of complex system-level issues in production builds.
  • •Ensure robust unit testing and contribute to automated validation pipelines.
  • •Mentor engineers and review architecture/design proposals.
  • •Support product bring-up and mass production readiness.

Conditions

  • •Remote work.
  • •Full-time employment.
  • •Salary range: $115,000 – $195,500 USD.

Requirements

  • •Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
  • •7-10+ years of experience in computer vision/image processing.
  • •Proven experience shipping at least one consumer product with embedded vision/AI.
  • •Strong C++ expertise (C++14/17/20), including performance optimization.
  • •Strong experience with OpenCV and ML frameworks (PyTorch, TensorFlow, ONNX).
  • •Experience deploying ML models on embedded/edge devices.
  • •Experience with model optimization (quantization, pruning).
  • •Strong understanding of 2D/3D geometry and linear algebra.
  • •Experience working on embedded Linux or Android systems.
  • •Strong debugging and performance profiling skills.
  • •Experience optimizing for power and thermal constraints.
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