Staff AI/ML Vehicle Motion Control Engineer (AI)

TL;DR

Staff AI/ML Vehicle Motion Control Engineer (AI/ML): Developing hybrid control architectures blending model-based and data-driven methods for vehicle motion control with an accent on handling, comfort, safety, and efficiency. Focus on integrating AI/ML components into real-time control loops, designing advanced MPC and RL algorithms, and ensuring system stability and functional safety.

Location: Hybrid (Milford, Michigan or Mountain View, California). Must report to a specific location at least 3 times a week.

Salary: $217,500 – $275,450

Company

hirify.global is a global automotive leader striving for a world with zero crashes, zero emissions, and zero congestion.

What you will do

• Lead the technical roadmap for hybrid control architectures combining classical model-based and data-driven AI/ML methods.
• Architect scalable motion control platform components and implement algorithms like state-space control, observers, and Model Predictive Control (MPC).
• Integrate RL and learned models into real-time control loops for braking, steering, and chassis dynamics while maintaining interpretability.
• Manage data workflows for collection and feature engineering using MIL/SIL/HIL/DiL environments and CarSim.
• Ensure AI/ML solutions comply with ISO 26262 and SOTIF (ISO 21448) functional safety standards.
• Collaborate across multidisciplinary teams and provide technical mentorship and design reviews for other engineers.

Requirements

• M.Sc. or Ph.D. in Controls, Robotics, Electrical/Mechanical Engineering, or AI/ML with a focus on dynamical systems.
• 8+ years of experience in control systems and embedded software development for vehicle motion or chassis.
• Strong foundation in state estimation theory and real-time embedded systems.
• Proficiency in C/C++, MATLAB/Simulink (with auto-code generation), and Python for data analysis.
• Experience with vehicle dynamics simulation tools (e.g., CarSim) and measurement tools like Vehicle SPY, INCA, or CANalyzer.
• Must be based in or able to work from Milford, MI or Mountain View, CA.

Nice to have

• Deep experience with RL or approximate dynamic programming for real physical systems.
• Experience applying CNNs, RNNs, or Transformer-based models to perception and decision-making in automotive.
• Familiarity with LLMs and LVLMs for planning or diagnostic workflows.
• Knowledge of modern MLOps practices and foundation-model ecosystems.

Culture & Benefits

• Comprehensive Total Rewards package focusing on employee well-being.
• Hybrid work model providing a balance between remote and office-based collaboration.
• Inclusive corporate culture committed to non-discrimination and equal opportunity.
• Opportunity to work on cutting-edge AI integration in a large-scale production environment.