Control Engineer

About the role

A WORLD EMPOWERED BY AUTONOMY. WE BUILD ROBOTIC VEHICLES TO IMPROVE LOGISTICS SAFETY, FORGE A GREENER EARTH, AND ENHANCE HUMAN LIVES.

We are a closely-knit team aspiring to change the world through disruptive technology. We are innovators. We are tinkerers. We are problem-solvers. And we have a fair amount of magic dust up our sleeves. We have a plan for fleet-level deployment of autonomous vehicles, and we are looking for the best-of-the-best to join us in making this a reality.

ABOUT VENTI TECHNOLOGIES

Based in the U.S. and Asia, Venti Technologies is the leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti has a proprietary collection of autonomy technologies including a suite of powerful logistics algorithms. Venti’s proven value proposition of saving costs, increasing vehicle utilization, and improving safety is recognized by customers and driving growth. Launched in 2018, Venti brings together an unsurpassed team internationally. The company has autonomous systems deployed in Asia for industrial and logistics sites and a growing pipeline. Venti has offices in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore – our Asian headquarters.

About the Role

We are looking for a Control Engineer to help develop and improve the motion control system for autonomous trucks. You will work on vehicle control algorithms that enable safe, stable, and reliable autonomous driving in real-world environments. This role involves developing controllers, evaluating vehicle behavior, analyzing test data, and collaborating with cross-functional teams to continuously improve system performance.

ROLE RESPONSIBILITIES

- Research and evaluate modern control methods applicable to autonomous driving and vehicle automation.

- Contribute to design, develop, and maintain software for vehicle motion control, including steering and speed control.

- Build mathematical models of vehicle behavior by characterizing steering, braking, throttle, actuator response, and system delays.

- Improve controller performance through testing, tuning, and calibration across different vehicle platforms and operating conditions.

- Collect and analyze vehicle test data to diagnose issues, validate controller behavior, and identify improvement opportunities.

- Design and maintain safety features within the control system, including fault detection, command validation, timeout monitoring, and safe recovery strategies.

- Improve the resilience of the control software against communication delays, timing variations, missing sensor data, and actuator faults.

REQUIRED EXPERIENCE

- Bachelor's or Master's degree in Robotics, Control Engineering, Computer Science, Mechanical Engineering, Electrical Engineering, or a related discipline.

- Around 1 year of experience in robotics, control systems, autonomous vehicles, or a similar technical field through industry, research, internships, or academic projects.