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Software Engineer - Controls

Agtonomy

Agtonomy

Software Engineering
South San Francisco, CA, USA
Posted on Sunday, February 4, 2024
About Us
Agtonomy is a hybrid autonomy and tele-assist service platform that turns tractors and other equipment into autonomous machines. A robust sensor suite and custom software stack enable remote modes of operation with a higher margin of safety than conventional equipment. Agtonomy, through its OEM partners, will address both local agriculture skilled labor shortages and broader land maintenance operations, including wildfire prevention through land clearing.
About the role
We are looking for an enthusiastic controls software engineer to join our Autonomy team. You will be responsible for developing controls algorithms for our existing fleet of automated tractors as well as for future platforms. You will work closely with the embedded, hardware, and testing teams as you develop robust solutions to safely and reliably manipulate the various actuators on our platforms.

What you’ll be doing:

  • Contribute to the development of kinematic and dynamics models and adaptations across different vehicle platforms
  • Design closed loop control strategies that can compensate for uncertain system parameters and unknown external environmental disturbances
  • Perform parameter identification and benchmarking of various models
  • Build real-time parameter estimation algorithms to improve controls performance
  • Define and create tools to tune and benchmark various vehicle control systems
  • Design and execute test scenarios for simulation and on hardware, including hardware-in-the-loopWrite performant, well-tested software and improve code quality through code and design reviews
  • Collaborate with electrical and embedded teams to define and integrate components, as well as verify functionality on the bench and on the vehicle

What you'll bring:

  • Knowledge and hands-on application background in control theory in any of the following areas: classical control, adaptive control, nonlinear control, MPC, optimal control, robust control, sliding mode control
  • Understanding of state estimation techniques such as state observers, Kalman filters, etc.Strong proficiency in C++ (11 or newer) development for resource constrained embedded systems
  • Experience implementing math effectively in software, (eg., Eigen, Ceres, numpy, etc.)Ability to thrive in a fast-moving, collaborative, small team environment with little supervision
  • Excellent analytical, communication, and documentation skills with demonstrated ability to collaborate with interdisciplinary stakeholders
  • Passion for sustainable energy and electric vehicle development

What makes you a strong fit:

  • Background in automotive safety concept, failure mode, common analysis tools such as FMEA
  • Experience applying machine learning control strategies to compensate for unknown system dynamics
  • Experience with software for real-time or safety-critical systems
  • 5+ years of experience of software development in autonomy, robotics or related fields.
  • MS or PhD in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or related field