Performance Engineer
il y a 3 jours
Madrid
Type: Full-time About the Company We're working with a high-growth startup developing AI systems that allow industrial robots to perform tasks they currently cannot, starting with complex warehouse operations like mixed palletizing. Their technology combines deep reinforcement learning (DRL) with modern sequence modeling to tackle control and combinatorial optimization problems where classical approaches fail. They are a small, highly skilled team. Joining us means having direct impact, minimal bureaucracy, and ownership over core technology that will be deployed in real-world, high-throughput environments. As the second hire in the DRL team, you will own the end-to-end reinforcement learning stack: from problem formulation to algorithm design, large-scale training, evaluation, and deployment. This role is highly autonomous, requiring a hands-on expert capable of leading experiments, troubleshooting complex issues, and establishing best practices for algorithm development and deployment. PPO, SAC, DDQN and variants) incorporating advanced architectures such as encoders, cross-attention, and pointer networks Set up and manage large-scale training pipelines: multi-GPU training, parallel rollouts, efficient replay/storage, reproducible experiments Productionize algorithms with clean, maintainable PyTorch code, profiling, Dockerized services, cloud deployments (AWS), experiment tracking, and dashboards Deep expertise in reinforcement learning and deep learning, with strong PyTorch skills Python, Linux, multi-GPU training, Docker, cloud deployments (AWS preferred) Comfortable taking ownership of experiments, code quality, and results in a small, high-impact team PhD or equivalent experience in DRL is acceptable; Production system deployment experience is beneficial but not mandatory Deep Technical Session – with CTO, focused on past DRL work (no coding tests, no homework) # Work at the frontier of DRL + robotics in real-world, high-throughput industrial applications Small, experienced founding team and strong early customer traction reduces commercial risk while maximizing technical challenge Opportunity to join a founding-stage team with equity and influence over core product and technology