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Salary
$68k – $111k per year (Estimated)
Location
Remote (Poland)
Seniority
Senior
Employment
Full-Time
Overview
Company
Impact
Profile match
Svitla Systems is a global digital solutions and custom software engineering company headquartered in California, with delivery centers across North America, Latin America, Europe, and Asia. Founded in 2003, the company offers end-to-end IT services, including cloud architecture, AI/machine learning integration, data engineering, DevOps, and mobile and web application development.

Svitla Systems Inc. is looking for a Senior Computer Vision Engineer for a full-time position (40 hours per week) in Europe. Our client is an American mobile computing company.

You will bridge the gap between high-level machine learning research and high-performance production environments. Also, you will be responsible for building robust SDKs, automating deployment pipelines, and ensuring the models run efficiently across a diverse hardware landscape, from edge SoCs to powerful cloud GPUs.

Requirements

  • Bachelor's or master's degree in Computer Science, Electronic Engineering, or related technical field.

  • Deep understanding of C++14/17/20, including STL, memory management, and multi-threading.

  • Expertise in writing clean, maintainable Python for automation and data processing.

  • Hands-on experience with at least one of the following frameworks:

    • SNPE/QNN (Qualcomm);

    • OpenVino (Intel);

    • TensorRT (NVIDIA);

    • TensorFlow Lite.

  • Familiarity with Docker for creating consistent development and deployment environments.

Nice to have

  • Understanding of deep learning fundamentals (CNNs, Transformers, Object Detection).

  • Knowledge of model conversion and quantization (i.e., PTQ, QAT).

Responsibilities

  • Design, develop, and maintain high-performance software development kits (SDKs) to expose computer vision capabilities to end users and internal products.

  • Port, convert, and deploy machine learning models across various hardware targets, including Qualcomm SoCs, Intel CPUs, and NVIDIA GPUs.

  • Use hardware-specific toolkits to optimize model throughput without sacrificing accuracy.

  • Conduct rigorous testing and evaluation of models on target hardware to ensure performance metrics meet expectations.

  • Build and maintain automation scripts and CI/CD pipelines in Python to streamline the model testing and deployment lifecycle.

We offer

  • US and EU projects based on advanced technologies.

  • Competitive compensation based on skills and experience.

  • Regular performance appraisals to support your growth.

  • Flexibility in workspace, either remote or our welcoming office.

  • Bonuses for article writing, public talks, other activities

  • Generous time off, including vacation, national holidays, sick leaves, and family days.

  • Personalized learning programs tailored to your interests and skill development.

  • Free tech webinars and meetups organized by Svitla.

  • Regular corporate online activities.

  • Awesome team and a friendly, supportive community!

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