Job Title

GenAI Software Engineer Intern – GenAI Model Experiment

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

This is an exciting job opportunity for you to light the way as a GenAI Software Engineer Intern in Shanghai with Signify.

We’re seeking a highly technical intern passionate about deploying and testing the latest AI models. You’ll work on real-world model deployment, optimization, and experimentation in cloud environments.

Key Responsibilities:

Deploy and benchmark state-of-the-art AI models (e.g., Llama-3, Mistral, Gemma) end-to-end on cloud/server environments.
Set up and maintain GPU-powered experimentation environments (CUDA, Docker, conda, etc.).
Design and run model performance tests (latency, memory usage, output quality) and A/B experiments.
Develop automation scripts for model deployment, scaling, and resource monitoring.
Research and prototype emerging AI techniques (MoE, quantization, Agentic workflows, etc.).

Must-Have Qualifications:

Currently pursuing a Master’s/PhD in Computer Science, AI, or related fields (full-time internship commitment).
Proven coding rigor: Strong Python skills with AI project experience (share GitHub/reports).
Model deployment chops: Hands-on with PyTorch/TensorFlow, Hugging Face, and inference optimization (e.g., vLLM, TGI).
Linux/Cloud fluency: Debugged CUDA issues, managed Docker containers, and used AWS/GCP/Azure (EC2, SageMaker, etc.).
Self-starter: Ability to set up experiments independently and troubleshoot hardware/software issues.
English proficiency (read/write technical docs, arXiv papers).

Preferred Skills:

Experience with model quantization (GGUF, FP8), LoRA fine-tuning, or distillation.
Familiarity with ML monitoring tools (Weights & Biases, TensorBoard).
Contributions to open-source AI projects or technical blogs.
Curiosity about AI Agents (AutoGPT, LangGraph) or multi-modal systems.

Everything we’ll do for you

You can grow a lasting career here. We’ll encourage you, support you, and challenge you. We’ll help you learn and progress in a way that’s right for you, with coaching and mentoring along the way. We’ll listen to you too, because we see and value every one of our 30,000+ people.

We believe that a diverse and inclusive workplace fosters creativity, innovation, and a full spectrum of bright ideas. With a global workforce representing 99 nationalities, we are dedicated to creating an inclusive environment where every voice is heard and valued, helping us all achieve more together.

Hands-on experience with real-world AI/ML software development projects with GPUs provided.
Mentorship from experienced professionals in AI, ML, and software engineering.
Opportunity to work with cutting-edge technologies and tools.
Collaborative and innovative work environment.
Potential for future full-time employment.

Come join us, and together we can light the way.