Venti Technologies
Robotics
StaffResearchScientist,LocalizationandMapping
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Research Scientist, Localization and Mapping at Venti Technologies. Skills: Localization, Mapping, Robotics, Autonomous vehicles. Lead research roadmap development. Champion essential tool developments”
Industry & Context.
Problem-solvers
What They're Looking For.
Must Have
7+ years of experience in robotics, Proficiency in C++, GPU programming experience, Experience with real-time robotic systems, Familiar with ROS/ROS2, Deep understanding of SLAM algorithms, Deep understanding of Sensor fusion, Deep understanding of State estimation, Deep understanding of Kalman Filters, Deep understanding of Lidar odometry, Deep understanding of visual odometry, Deep understanding of HD mapping systems, Deep understanding of Machine learning for localization, Deep understanding of Sensor calibration, Deep understanding of Safety critical software development
Nice to Have
Master's degree in Computer Science, PhD in Computer Science, Master's degree in Robotics, PhD in Robotics, Master's degree in Engineering, PhD in Engineering, Experience mentoring junior engineers, Experience guiding technical direction, Experience contributing to organizational growth
What You'll Do.
Lead research roadmap development
Champion essential tool developments
Develop scalable map generation
Scale simulation regression tests
Develop live autonomy stack core modules
Lead design of localization systems
Lead development of localization systems
Lead design of mapping systems
Lead development of mapping systems
Architect scalable map generation pipelines
Architect automated map generation pipelines
Architect map maintenance pipelines
Architect map regression pipelines
Architect map deployment pipelines
Develop multi-sensor localization solutions
Improve localization accuracy
Improve localization reliability
Define software architecture
Define performance metrics
Define testing strategies
Define deployment standards
Integrate localization into autonomy stack
Integrate maps into autonomy stack
Drive technical roadmap
Drive project prioritization
Drive engineering execution
Support field testing
Support deployment activities
How You'll Work.
Team & Collaboration
Multi-disciplinary autonomy teams; Perception teams; Planning teams; Controls teams; Testing teams; Operations teams; Systems teams; Software infrastructure teams; Data software teams; Data services teams
Process & Methodology
Roadmap planning
Full 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. 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,
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