Responsibilities

• Develop scalable and efficient machine learning algorithms to tackle PCB place-and-route challenges.
• Adapt and optimize ML models for large-scale distributed computing environments (e.g., GPUs, multi-node clusters).
• Build, test, and deploy robust production-level ML systems integrated into the DeepPCB platform.
• Collaborate with research scientists, software engineers, product managers, and business development teams.
• Clearly document and present your work internally and externally, adjusting technical depth based on the audience.
• Participate in technical discussions, design reviews, and customer-facing activities when required.

Qualifications

• Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related technical field, or 2-5 years of professional experience in applied machine learning or engineering roles.
• Strong expertise in Machine Learning and Deep Learning, with exposure to Reinforcement Learning as a plus.
• Proficiency in Python and modern ML libraries (e.g., TensorFlow, PyTorch, JAX, or Keras).
• Experience with version control systems (GitHub, GitLab) and knowledge of clean, maintainable coding practices.
• Familiarity with CI/CD pipelines for automating ML workflows.
• Ability to thrive in a fast-paced, collaborative, and dynamic environment.
• Nice to haves: Prior experience with PCB design, EDA tools, or related optimization problems; Hands-on experience in high-performance computing environments (e.g., Kubernetes, Ray, Dask); Contributions to open-source projects, publications, or top placements in ML competitions (e.g., Kaggle); Expertise in related fields such as Computer Vision, Representation Learning, or Simulation Environments.

About DeepPCB

DeepPCB is InstaDeep's AI-powered Place & Route PCB (Printed Circuit Board) design tool. We use a combination of deep reinforcement learning and high-performance computing to automate and scale PCB place-and-route.

InstaDeep, founded in 2014, is a pioneering AI company with offices in London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco. We collaborate with Google DeepMind and institutions such as MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and an NVIDIA Elite Service Delivery Partner. We have been recognized among notable AI players and Europe\'s 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our Hybrid work model is designed to support collaboration and innovation.

Right to work: You will require the legal right to work without visa sponsorship in the location you are applying for. We do not sponsor work visas.