Senior/Staff Simulation Engineer
Diligent Robotics
PythonUnity
Control Systems Engineer
Mora Taara
full-time
Posted on:
Origin: • 🇺🇸 United States • California
Visit company websiteSalary
💰 $160,000 - $210,000 per year
Job Level
Mid-LevelSenior
Tech Stack
GoPython
About the role
- Develop next-generation control algorithms for high-bandwidth, high-accuracy tracking systems.
- Develop and implement active and passive vibration control strategies to reject external disturbances.
- Prototype solutions through algorithmic research, simulation, hardware implementation, and field validation.
- Define the hardware and software architecture and perform the sensor and actuator selection and characterization.
- Design and conduct field experiments to rigorously test and validate system performance against key metrics in real-world environmental conditions.
- Work closely with various teams to balance short-term and long-term priorities and tasks to maximize project learnings.
- Stay up-to-date on the latest control system technologies and trends.
- Own the design of a controller architecture for a unique application that will be implemented on thousands of autonomous products in the field.
Requirements
- Master’s degree in a STEM field such as Robotics, CS, Physics, Mechanical Engineering, Aerospace Engineering, or related field, with a strong foundation in controls.
- Completed coursework in control systems theory, convex optimization, calculus / differential equations, linear algebra, or their equivalents.
- 3+ years of experience implementing control systems using a variety of hardware: sensors, actuators, microprocessors, general analog or digital electronics.
- Hands-on experience developing dynamic models and simulations for electro-mechanical systems.
- Experience with control systems research, or guiding applications such as: motion control, robotics, optimization, signal processing or time-series analysis.
- Experience with one or more general purpose programming languages, including but not limited to: Python, C/C++, Golang, Matlab, Simulink.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork skills.
- Ability to work in the Sunnyvale office at least 3 days per week.
- Ph.D in a STEM field such as Robotics, CS, Physics, Mechanical Engineering, Aerospace Engineering, or related field (preferred).
- Experience with advanced control theory techniques such as advanced/nonlinear control systems theory, optimal control theory, robust control theory, online optimization, multi-system coupling, linear and nonlinear stability analysis, and stochastic control techniques (preferred).
- Experience with state estimation techniques, such as Kalman filtering (EKF, UKF) for sensor fusion and noise rejection (preferred).
- Experience with implementing control systems using a variety of hardware: sensors, actuators, microprocessors, high-speed digital electronics (preferred).
- Real-world experience with control systems: algorithmic trade studies to determine best path forward; deployed in hardware; creating detailed simulations; conducting analytical system analysis (preferred).
- Deep understanding of practical (real-world implementation) differences between linear and nonlinear control systems, their implications, and understanding techniques for optimizing performance in either (preferred).
- Experience with reinforcement learning (RL) to model complex nonlinear systems, optimize the control system performance, enhance decision-making and predict maintenance (preferred).
