We're Hiring: Research Engineer – AI for PCB Design (Full-Time | Hybrid | London)
About DeepPCB
DeepPCB is My Client’s cutting-edge AI-powered Place & Route design tool for Printed Circuit Boards (PCBs). By combining deep reinforcement learning with high-performance computing, DeepPCB automates and accelerates PCB layout workflows—helping hardware teams around the world design faster, smarter, and more efficiently. Learn more at deeppcb.ai.
The Opportunity
We’re looking for a Research Engineer to join the DeepPCB team and push the boundaries of artificial intelligence in electronic design automation (EDA). In this role, you'll design, build, and scale advanced machine learning systems—solving complex real-world PCB design challenges and contributing to the future of intelligent hardware engineering.
Key Responsibilities
* Research and implement scalable deep learning and reinforcement learning algorithms tailored for PCB place-and-route problems.
* Adapt ML algorithms for performance in distributed and GPU-accelerated environments.
* Build production-ready ML solutions and prototypes that directly integrate into the DeepPCB platform.
* Communicate research progress clearly to both technical and non-technical audiences.
* Collaborate across research, engineering, product, and business teams to drive innovation.
* Represent DeepPCB at industry conferences, client meetings, and research events as needed.
What We're Looking For
* BSc, MSc, or PhD in Computer Science, Machine Learning, Electrical Engineering, or a related field.
* 5+ years of experience in applied machine learning, research engineering, or software development.
* Strong foundation in ML, deep learning, and preferably reinforcement learning.
* Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, Keras, or JAX.
* Experience with version control (GitHub, GitLab), clean code practices, and CI/CD workflows.
* Comfort working in a fast-paced, collaborative, and research-driven environment.
Nice to Haves
* Hands-on experience with PCB design, EDA software, or circuit-level optimization problems.
* Familiarity with high-performance computing tools like Kubernetes, Ray, or Dask.
* Open-source contributions, academic publications, or strong performance in ML competitions (e.g., Kaggle).
* Background in adjacent areas like Computer Vision, Representation Learning, or Simulation Environments.
Why Join My Client?
* Work on high-impact, real-world AI challenges that redefine hardware design.
* Join a diverse, mission-driven team combining cutting-edge research and product development.
* Flexible hybrid work policy with a collaborative office environment in London.
* Opportunities for growth, publication, and public speaking at top conferences and industry events.
Ready to Design the Future?
Apply now to become part of a team that's transforming electronic design with artificial intelligence.