About the role

What you’ll do

• Develop and deliver power control algorithms from research and prototyping through production deployment and field performance
• Validate and improve algorithms using field performance data
• Own algorithm performance once deployed in physical systems
• Design algorithms to fit the whole system rather than optimizing components in isolation
• Work directly in production repositories, writing tests and reviewing code
• Prototype algorithms and perform analyses using Python

What you’ll need

• Bachelor's degree in electrical engineering, computer science, applied mathematics, physics, mechanical or aerospace engineering, or a related quantitative field, or equivalent practical experience
• Deep expertise in control systems and mathematical optimization, including feedback control, state estimation, and practical realities of latency, noise, and missing data
• Track record of taking algorithms from concept to production in physical systems and owning their performance once deployed
• Strong Python skills for prototyping and analysis and the ability to work in production codebases in a systems language (Rust used, learning supported)
• Comfortable in a continuous delivery environment: working directly in production repositories, writing tests, reviewing code, and using field performance data
• Excellent written communication and strong remote teammate habits: proactive updates, thorough documentation, empathy, and assuming good intent

Original job description