Embedded AI Engineer (Video Analytics)

TL;DR

Embedded AI Engineer (Video Analytics): Develop state-of-the-art video analytics algorithms and turn cutting-edge research into production-ready solutions running on Linux-based embedded systems with an accent on hardware optimization and ASIC design. Focus on optimizing deep learning and computer vision models for embedded performance, implementing on hardware accelerators.

Location: On-site in Lund, Sweden

Company

World leader in network video solutions for security and surveillance, enhanced by intelligent analytics applications.

What you will do

• Develop algorithms at the research frontier in deep learning and computer vision.
• Turn advanced AI models into high-quality, production-ready implementations.
• Optimize performance on Linux-based embedded systems and hardware.
• Enable new product features through technical excellence in analytics acceleration.
• Solve complex challenges in the deep learning domain.
• Collaborate with product platform, ASIC design, and solutions teams to launch competitive products.

Requirements

• Based in Lund, Sweden (on-site)
• Master’s degree in Computer Science, Engineering Physics, Mathematics, or similar.
• A couple of years of relevant industry experience.
• Genuine interest in video analytics, deep learning, and computer vision software development.
• Pragmatic, structured, curious mindset with clear communication and teamwork skills.

Nice to have

• 5+ years of experience in Computer Vision and/or AI/ML.
• Strong programming skills in C++ and Python.
• Interest in ASIC design.
• Knowledge of PyTorch and OpenCL.
• Experience with embedded Linux and model optimization (ONNX, PyTorch, TFLite).
• Mindset of ownership and initiative.

Culture & Benefits

• Open, collaborative environment encouraging innovation and challenging the status quo.
• Dynamic Lund HQ campus with spaces for collaboration, fika, meetings, and after-hours activities.
• Company bonus, wellness allowance, health insurance, Friday cake, and company bicycle.
• Continuous learning and career growth opportunities.
• Focus on work-life balance, diversity, inclusion, and sustainability.

Hiring process

• Continuous application review – apply today.
• Background checks for certain roles with prior notice.
• Contact recruiting manager Anders Lindh for questions.