Staff Research Scientist, Localization and Mapping

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.

We are seeking a Staff Research Scientist, Localization and Mapping to serve as a principal technical authority for our multi-disciplinary autonomy teams. In this individual contributor (IC) role, you will champion the research roadmap, essential tool developments, scalable map generation, scaling of simulation regression tests, and live autonomy stack core modules for safety-critical applications on driverless trucks in complex logistics yards.

Our autonomy solutions must overcome environmental challenges not limited to high vibration/shock (industrial vehicle platforms/loads), high environmental change (shipping container stock variance), high occlusions from large actors/structures, all-weather 24-hour everyday operational demands, and high-precision alignments for parking or interfacing with specialized logistics equipment.

This role combines cutting-edge research with deep system architecture ownership. You will stay abreast of current research trends and mentor the team to translate advanced robotics algorithms into robust, real-world systems. You will work closely with perception, planning, controls, and testing/operations teams to deliver production-grade autonomy solutions for real-world deployments.

Role responsibilities

Lead the design and development of localization and mapping systems for autonomous logistics vehicles

Architect scalable and automated HD map generation, maintenance, regression and deployment pipelines

Develop robust multi-sensor localization solutions using LiDAR, GNSS, IMU, cameras, and wheel odometry

Improve localization accuracy and reliability in GPS-denied or dynamic industrial environments with GPS interference.

Define software architecture, performance metrics, testing strategies, and deployment standards

Collaborate with perception, planning, systems, software infrastructure, and data software & services teams to integrate localization and maps into the autonomy stack

Drive technical roadmap, project prioritization, and engineering execution

Support field testing, debugging, and deployment activities

Required experience

Educational Background: Ph.D. or Master’s degree in Computer Science, Robotics, Engineering, or a related field, with a focus on localization and/or mapping for autonomous systems.

7+ years of experience in robotics, autonomous vehicles, or localization/mapping systems

Strong proficiency in C++, GPU programming, and experience with real-time robotic systems (preferably familiar with ROS/ROS2)

Deep understanding of:

SLAM algorithms

Sensor fusion including Lidar, Camera, GNSS-INS

State estimation including Kalman Filters

Lidar and visual odometry methods

HD mapping systems, including tool development and data pipelines

Machine learning approaches for localization and map features/semantics

Sensor calibration and degradations/maintenance in real outdoor robotics deployments

Safety critical software development processes including simulation regression testing and fleet-scale release validation

Influence & Mentorship: Demonstrated experience mentoring junior/mid-level engineers, guiding technical direction, and contributing to organizational growth through technical excellence.

Collaboration & Communication: Excellent communication skills for working across multidisciplinary teams and influencing technical direction.