Research Engineer, Optimization

Translate cutting-edge optimization research into production-grade solvers that run on constrained hardware in the field.

What you'll do

• Implement and benchmark convex and non-convex solvers for motion planning and control
• Profile and optimize solver performance for real-time constraints
• Bridge the gap between research prototypes and deployed systems
• Maintain solver libraries and contribute to internal tooling

What we look for

• MSc or PhD in optimization, controls, or applied math
• Strong C++ skills; experience with Eigen, OSQP, or CasADi
• Understanding of numerical methods and linear algebra
• Ability to read and implement methods from academic papers