Control Systems Engineer

Hypothesis.run • Davis, CA

10d

About The Position

Hypothesis is seeking a skilled and experienced Control Systems Engineer to join our team. You will be a crucial member of our mission to unlock biology at scale, focusing on the design, analysis, and implementation of control systems that enable our AI Operator to interact with complex biological systems. This role is at the intersection of electrical engineering, software, and biology, and you will be responsible for building the robust hardware and software infrastructure that ensures precision, reliability, and speed. We are looking for a mid-level professional with a passion for troubleshooting and optimizing complex systems.

Requirements

• Bachelor’s degree in Electrical Engineering, Control Systems Engineering, or a related field.
• 3-5 years of professional experience in control systems design, automation, or industrial robotics.
• Demonstrated experience with hardware-in-the-loop (HIL) testing and system validation.
• Proficiency with relevant software tools for control system design and simulation (e.g., MATLAB/Simulink, Python, or similar).
• Experience with industrial communication protocols (e.g., Ethernet/IP, Modbus).
• Strong analytical skills and a meticulous attention to detail.
• Excellent communication skills and the ability to work in a collaborative, cross-functional environment.

Responsibilities

• Design and Implementation: Develop and manage the control systems that link bioreactors to our AI-driven platforms, including designing wiring diagrams and communication protocols.
• System Integration: Integrate hardware components, sensors, and actuators to ensure seamless and reliable data flow.
• Troubleshooting and Maintenance: Diagnose and resolve issues related to system communication, signal integrity, and hardware performance to minimize downtime and ensure continuous operation.
• Performance Optimization: Tune and calibrate control loops to enhance system stability, efficiency, and accuracy.
• Collaboration: Partner with our software engineering, data science, and biology teams to translate operational requirements into tangible control system designs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level