Localization and Mapping Research Scientist Intern
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 localization algorithms, with specific focus on LiDAR and Visual-Inertial Odometry.
To study and assist with development variety of algorithms related to localization and mapping e.g., based on EKF and other filtering techniques, and to be able to implement the odometry system for autonomous ground vehicles with high computation efficiency.
Carrying out tests for different methods and coming up with detailed summary of evaluation and figuring out problems and coming up with ideas to solve problems.
Software design and development.
Required Experience
Undergraduate and master's degree students in Computer Science, Robotics, or related fields are welcome.
Strong familiarity with localization algorithms, not limited to feature extraction, semantic segmentation, full SLAM techniques
Experience with probabilistic robotics
Experience with research in robotics or related fields involving sensors
Experience with C++ and Python 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 with sensor calibration
Experience with both vision and lidar
Experience with machine learning
Experience with GPU programming