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Forterra

Platform Control Lead

Leads a team of controls engineers developing platform control software for autonomous vehicles, translating motion planner trajectories into drive-by-wire commands. Requires 5+ years in control systems, expertise in C++, Python, MATLAB/Simulink, and vehicle dynamics.

175k – 250kClarksburg, MDEngineering ManagementOnsite5+ YOE
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About the role

What you'll do

Team Leadership

  • Lead, mentor, and manage a team of controls engineers.
  • Foster a collaborative and outcome-focused team environment.
  • Oversee project planning, execution, and delivery within tight timelines.

Control Systems Development

  • Architect and develop control software modules for vehicle actuation systems.
  • Implement control algorithms for throttle, brake, and steering to accurately follow planned trajectories.
  • Interface and integrate with body control systems, including headlights and fifth-wheel lifts.

Product Mindset

  • Collaborate closely with cross-functional teams to align engineering efforts with customer value.
  • Contribute to product strategy with a focus on maximizing customer satisfaction and usability.

Hands-On Contribution

  • Engage directly in coding, testing, and debugging.
  • Lead by example by staying actively involved in technical challenges.

Innovation and AI Integration

  • Explore and implement AI and machine learning techniques for control model training.
  • Stay updated with the latest industry trends and technologies.

Qualifications

  • Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, Computer Science, Robotics, Control Systems, or a related field.
  • Minimum of 5 years of experience in control systems engineering.
  • Proven leadership experience managing teams of 3+ engineers.
  • Strong background in control theory and control systems design.
  • Proficiency in programming languages such as C++, Python, and MATLAB/Simulink.
  • Experience with vehicle dynamics and actuation systems.
  • Ability to work collaboratively in a cross-functional team environment.

Preferred Qualifications

  • Experience in a fast-paced startup environment is highly preferred.
  • Experience with real-world controls experience in automotive, aerospace, or related field is preferred.
  • Familiarity with AI and machine learning techniques for control systems is a plus.
  • Exceptional communication and interpersonal skills.

Compensation

US Salary Range: $175,000—$250,000

Skills

C++PythonMATLABSimulinkControl TheoryVehicle DynamicsAIMachine LearningROSAutonomous Systems

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