Senior Research Engineer, Mapping & Localization

Posted 11 Days Ago
Be an Early Applicant
Santa Clara, CA
Hybrid
170K-210K Annually
5-7 Years Experience
Software
The Role
The Senior Research Engineer will develop, optimize, and deploy LiDAR-based localization and mapping algorithms for autonomous vehicles. Responsibilities include sensor fusion, system improvement, issue resolution, and supporting map generation to enhance localization accuracy.
Summary Generated by Built In

Responsibilities:

  • Lidar Algorithm Development: Develop, implement, and optimize LiDAR-based localization and mapping algorithms for autonomous vehicles.
  • Senor Fusion Development: Integrate LiDAR data with other sensor data (e.g., GPS, IMU, cameras) to create accurate, real-time maps and localization solutions.
  • Solution Deployment: Lead deployment of localization and mapping solutions into the autonomous driving stack collaborating with software, hardware and product teams.
  • Issue Resolution: Triage and debug issues related to localization and mapping, ensuring continuous improvement and system robustness.
  • Map Support: Support the online and offline generation and interfacing of maps to maintain and enhance localization accuracy.
  • System Improvement: Drive improvements to the continuous integration (CI) system for localization and mapping, enhancing efficiency and reliability.

Required Skills:

  • MS or PhD in CS, EE, Robotics or a related field.
  • Proven experience in LiDAR-based localization and mapping for autonomous vehicles or robotics.
  • Strong background in sensor fusion, particularly with LiDAR, GPS, IMU, and camera data.
  • Proficiency in C++ and ROS.
  • Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
  • Strong communication skills and the ability to effectively convey technical concepts to non-technical team members.

Preferred Skills:

  • Relevant industry experience (prior work on self-driving vehicles, drone, autonomy and/or robotics projects).
  • Experience with Gaussian splatting/NeRF is a plus.
  • Experience with deep learning techniques applied to localization and mapping is a plus.

Salary Range:

  • $170,000 - $200,000 a year

Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.

Top Skills

C++
The Company
HQ: Santa Clara, California
471 Employees
On-site Workplace
Year Founded: 2016

What We Do

Plus is a global provider of highly automated driving and fully autonomous driving solutions. Named by Forbes as one of America's Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus's customers are already operating its product on the road today. Working with one of the largest companies in the U.S., vehicle manufacturers and others, Plus is making transportation safer and greener. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Insider, Consumer Electronics Show, AUVSI, and others. For more information, visit www.plus.ai

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