41 applicants
Agtonomy · 2 days ago
Controls Software Engineer
San Francisco, CA
Full-time
Onsite
Senior Level
5+ years exp
Wonder how qualified you are to the job?
Maximize your interview chancesAgricultureAgTech
Insider Connection @Agtonomy
Responsibilities
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-loop
Write 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
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
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
MS or PhD in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or related field
Preferred
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.
Company
Agtonomy
Agtonomy is a hybrid autonomy and tele-assist platform that specializes in advanced autonomous and AI solutions for agriculture.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$45MKey Investors
MomentaDoosan Bobcat
2023-12-19Series A· $22.5M
2023-06-07Corporate Round· Undisclosed
2022-09-15Seed· $13.5M
Leadership Team
Tim Bucher
Co-Founder and CEO
David Chen
Head of Software Services
Recent News
2024-04-07
2024-04-07
Company data provided by crunchbase
