Edge AI Engineer (Mid/Senior)

TELTONIKA POLAND sp. z o.o.

Warsaw, MA, Poland • 51m ago • On-site

Mid

On-site

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Quick Facts

Mid/Senior Edge AI Engineer for video telematics devices (R&D), Warsaw.

Description

Analyze, select, test, optimize, and deploy machine learning models for on-device edge inference, with PC-based validation and an evolving path toward cloud-based processing. Focus on running AI models on real embedded hardware and integrating them into the device media/data pipeline.

Responsibilities

  • Analyze, select, and evaluate ML models for specific use cases (e.g., ADAS/DMS, video/image analysis, sensor and CAN data processing).
  • Test, benchmark, and configure models for deployment on embedded edge devices and on PC (Windows, Linux).
  • Evaluate system capabilities (CPU/GPU/NPU, memory, power budget) and help select hardware suitable for AI workloads.
  • Optimize models for resource-constrained edge hardware (quantization, pruning, conversion to inference runtimes like TensorFlow Lite, ONNX Runtime, or vendor SDKs).
  • Design the data flow between edge pre-processing and future cloud processing.
  • Collaborate with embedded software/hardware teams to integrate models into the video/data pipeline.
  • Track and assess emerging AI/ML trends for product applicability.
  • Document model performance, testing methodology, and deployment decisions.
  • Participate in Agile/Scrum team processes.

Requirements

  • 2+ years of experience in AI/ML model development, evaluation, or deployment
  • Solid Python skills and practical experience with ML frameworks (PyTorch, TensorFlow, or similar)
  • Experience testing and benchmarking models for accuracy, latency, and resource usage
  • Understanding of embedded/edge inference constraints (CPU/GPU/NPU limitations, memory, power)
  • Comfortable working across Linux and Windows environments
  • Strong analytical skills and ability to independently solve technical problems
  • Professional working proficiency in English

Benefits

  • Private medical care (Medicover Premium) and MultiBenefit cafeteria
  • Opportunity to grow in a challenging, high-growth environment
  • Ambitious industrial GPS tracking device projects
  • Additional day off for your birthday
  • Team building activities

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