Generative Edge AI Engineer

Job Title

Job Description

About Signify

Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting. Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond.

At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals. Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career.

Join us, and together, we’ll transform our industry, making a lasting difference for brighter lives and a better world. You light the way.

More about the role

Key Responsibilities

• Design, develop, and deploy Edge AI solutions for real-world applications.
• Optimize Generative AI models (LLMs, Diffusion Models, etc.) for edge deployment (e.g., pruning, quantization, distillation).
• Implement embedded software solutions (C/C++, Python, RTOS) to integrate AI models into edge devices (IoT, drones, robotics, etc.).
• Collaborate with global teams (US, EU, APAC) to align AI solutions with business needs.
• Research and prototype novel Edge AI techniques (federated learning, on-device ML, tinyML).
• Document and present technical findings to stakeholders.

Qualifications

• Education: Bachelor’s/Master’s in Computer Science, Electrical Engineering, or related field.
• Experience: 5+ years in AI/ML engineering, with at least 2 years in Edge AI or embedded AI.
• Technical Skills:
  • Strong expertise in Generative AI (LLMs, GANs, VAEs) and model optimization.
  • Hands-on experience with edge frameworks (TensorFlow Lite, ONNX Runtime, PyTorch Mobile).
  • Proficient in embedded programming (C/C++, Python, Rust) and edge platforms (NVIDIA Jetson, Raspberry Pi, Qualcomm Snapdragon).
  • Familiarity with MLOps for edge (model deployment, OTA updates).
• Soft Skills:
  • Excellent English communication (written & verbal) for global collaboration.
  • Ability to work in cross-functional, distributed teams.