Senior Computer Vision Engineer

You will bridge the gap between high-level machine learning research and high-performance production environments. You will build robust SDKs, automate deployment pipelines, and ensure models run efficiently across a diverse hardware landscape, from edge SoCs to cloud GPUs.

Requirements

• Bachelor’s or master’s degree in Computer Science, Electronic Engineering, or a related technical field
• Deep understanding of C++14/17/20, including STL, memory management, and multithreading
• Expertise in writing clean, maintainable Python for automation and data processing
• Hands-on experience with at least one framework: SNPE/QNN (Qualcomm), OpenVINO (Intel), TensorRT (NVIDIA), or TensorFlow Lite
• Familiarity with Docker for consistent development and deployment environments

Nice to have

• Understanding of deep learning fundamentals, including CNNs, Transformers, and object detection
• Knowledge of model conversion and quantization, including PTQ and QAT

Responsibilities

• Design, develop, and maintain high-performance software development kits (SDKs) that expose computer vision capabilities to end users and internal products
• Port, convert, and deploy machine learning models across 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 Python automation scripts and CI/CD pipelines 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 growth
• Flexible workspace: remote or office
• Bonuses for article writing, public talks, and other activities
• Generous time off, including vacation, national holidays, sick leave, and family days
• Personalized learning programs tailored to interests and skill development
• Free tech webinars and meetups
• Regular corporate online activities
• Friendly, supportive community