Senior / Staff Software Engineer, ML-based Controls

Related skills

python pytorch machine learning state estimation mpc

πŸ“‹ Description

  • Design and develop data-driven and machine-learned approaches to vehicle control problems, bringing
  • Develop learned models of vehicle behavior and dynamics, and integrate them into the closed-loop
  • Apply machine learning to improve how the controller adapts across vehicles and operating
  • Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach
  • Own problems end to end, from conceptualization and offline experimentation through simulation and
  • Build the data pipelines, evaluation metrics, and tooling needed to measure whether a learned

🎯 Requirements

  • MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Robotics, Controls
  • Demonstrated depth in control theory and dynamic systems (e.g., MPC, optimal control, state
  • Hands-on experience applying machine learning to a physical system, with real hardware in the loop
  • Production-quality coding skill in Python and C++, and experience with deep learning frameworks
  • Solid problem solving skills using linear algebra, optimization, statistics & probability.
  • Ability to rapidly prototype and test new algorithms, and to design the experiments that prove

🎁 Benefits

  • Competitive perks & benefits
  • Equity incentive awards
  • Annual performance bonus
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