Electrical Engineering Pod Lead - 72132

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L Job Overview: An Electrical Engineering Pod Lead responsible for managing a small team creating simulation-based design problems used to train and evaluate advanced AI models. The role owns problem quality, reproducible environments, and coordination with AI researchers , and requires strong EE domain depth plus hands-on Python, Docker, and basic cloud skills to review and support the pod end-to-end. Key Responsibilities: Team Leadership Lead and manage a pod of 4–8 Engineering Design Specialists by assigning tasks, reviewing deliverables, removing blockers, and mentoring on problem design, simulation rigor, and documentation. Act as the main point of contact with AI research teams to translate model feedback into refinements, while running regular syncs, tracking progress, and reporting updates and risks to program leads. Technical Oversight Oversee and approve pod outputs, maintain reproducible Docker-based simulation environments, support cloud infrastructure for simulation/grading, Develop and review Python automation/validation, and proactively resolve dependency, versioning, and reproducibility issues. Problem Design (Individual Contribution) Personally design a portfolio of