Research Scientist, Control


  • Job Type: Full-Time
  • Function: Research Sci/Assoc/Mgr
  • Industry: AI/ML
  • Post Date: 07/18/2024
  • Website:
  • Company Address: 26 Pigeon Hill Rd, Weston, Massachusetts 02493, US

About Venti

The global leader in building autonomous vehicle logistics systems for ports, airports, warehouses, and factories.

Job Description

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.


Role responsibilities

• To keep abreast of the current state-of-the-art motion control algorithms

• To develop path tracking algorithms for reversing Truck-Trailer

• To account nonlinearity on coupled Truck-Trailer model and jack-knife prevention

• Software design and development


Required experience

• Ideally 1+ years of control research experience in autonomous vehicles domain

• Masters or PhD in Computer Science, Robotics, or related fields

• Strong familiarity with geometric-based approach for path tracking control

• Strong familiarity with path tracking controller such as Pure pursuit, Stanley, Linderoth, LQR

• Experience with developing controller for vehicle reversing application

• Experience with research in robotics or related fields involving realistic agent motion.

• Experience with C++ in a Linux environment.

• Flexible problem-solver


Bonus experience

• Experience with ROS or other similar middleware

• Experience with data structures, object-oriented programming

• Experience with real world robotics deployment

• Experience in data-analysis

• Experince with Model Predictive Controller


Salary is commensurate with experience. We also offer world-class benefits, fantastic culture, flexible working arrangements, and a great international working environment. Come and join us!

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