Edge AI Engineer (Mid/Senior) | Telematics

We are looking for AI Engineer to join our R&D team in Vilnius or Kaunas. You will join one of the teams developing our next-generation video telematics devices and be responsible for analyzing, selecting, testing, and deploying machine learning models used for on-device (edge) inference, PC-based validation, and — going forward — cloud-based processing of data collected from our devices. We'd love to walk you through all the details during the recruitment process!

Teltonika’s

• Telematics business unit develops and produces easy-to-use GPS tracking devices for effective fleet management across logistics, agriculture, car sharing, construction, and more. We use the latest technologies to set new standards for the telematics industry.
• If you want to shape how AI models run at the edge on real embedded hardware, not just in a notebook, this is the team for you!
• In this role, you will:
• Analyze, select, and evaluate machine learning models for specific use cases and problem-solving needs (e.g. ADAS/DMS, video/image analysis, sensor and CAN data processing).
• Test, benchmark, and configure AI models for deployment on embedded edge devices, as well as on PC (Windows, Linux) platforms.
• Analyze system capabilities (CPU, GPU, NPU, memory, power budget) and contribute to selecting hardware of appropriate specification for AI workloads.
• Optimize models for resource-constrained edge hardware (quantization, pruning, conversion to inference runtimes such as TensorFlow Lite, ONNX Runtime, or vendor-specific SDKs).
• Design the data flow between edge-level pre-processing and any future cloud-based models that further process data collected from edge AI devices.
• Collaborate with embedded software and hardware teams to integrate models into the media/data pipeline of our video telematics devices.
• Track current and emerging AI/ML trends and evaluate their applicability to company products.
• Document model performance, testing methodology, and deployment decisions.
• Participate in Agile/Scrum team processes and decision making.
• What we expect of you:
• 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 in testing and benchmarking models for accuracy, latency, and resource usage.
• Understanding of the constraints of running inference on embedded/edge hardware (CPU/GPU/NPU limitations, memory, power).
• Comfortable working across both Linux and Windows environments.
• Strong analytical skills and the ability to independently investigate and solve technical problems.
• Professional working proficiency in English.
• Ideally, you’ll also have:
• Experience with edge inference runtimes and toolchains (TensorFlow Lite, ONNX Runtime, TensorRT, or vendor NPU SDKs such as NXP, Qualcomm, Mediatek, Rockchip RKNN, or similar).
• Experience with computer vision models relevant to ADAS/DMS (object detection, driver monitoring, event classification).
• Experience with C/C++ for integrating models into embedded applications.
• Familiarity with embedded Linux and camera/video pipelines (V4L2, GStreamer).
• Experience with cloud ML infrastructure (model serving, MLOps pipelines, containerized inference).
• Bachelor's degree in Computer Science, Data Science, Electronics Engineering, or a related field.
• Any other relevant experience that you think makes you a great fit!
• What we offer:
• Great opportunities to grow in a strong and rapidly expanding company.
• Interesting and ambitious projects of industrial GPS tracking devices.
• Place where curiosity is key: here, we share knowledge and learn in training courses, conferences or business trips.
• Dynamic, challenging work environment and cooperation-based internal culture.
• Care about your emotional and physical well-being by offering flexible work schedules, hybrid work opportunities and health insurance.
• Company-paid sports activities (basketball, football, volleyball, yoga) and other sports events.
• Celebrating achievements and having fun together in team building, summer festivals, and other important occasions.
• Opportunity for solid bonuses when participating in the recommendation program.
• We delight with birthday and Christmas gifts and rewards on work anniversaries.
• Office snacks.
• Salary:
• We appreciate everyone's efforts and experiences, so we offer an attractive salary matching your skillset and field expertise. The salary for this position ranges from 19 Eur/h up to 35 Eur/h (~3170 Eur — 5839 Eur) pre-tax, depending on your experience and expertise, with the option to get bonuses.
• *In an employment agreement, we specify and define a fixed (tariff) hourly salary rate before taxes.
• If you have questions, do not hesitate to contact our recruitment colleague Ingrida Poceviciute, email ingrida.poceviciute@teltonika.lt