Ford Hiring – Mapping and Localization Engineer

Job Description:

We are seeking a diligent, detail-driven professional who has a strong grasp of robotics fundamentals, basic software engineering skills and expertise in Mapping & Localization techniques. We are looking to develop the next generation of multi sensor fusion algorithms to localize our AVs in most challenging environments.

Job Responsibilities:

• Develop, implement and utilize specific metrics to quantify the performance of localization algorithms.
• Develop and test tools required to assist in data collection, map generation, and localization.
• Design, implement, test and maintain production-level software solutions in C++.
• Prototype algorithms in Python/Matlab in order to improve and validate them at a very early stage!
• Design, implement, and test state-of-the-art algorithms for mapping & localization based on a multi sensor fusion approach using GPS, IMU, cameras, LiDARs.
• Present designs, challenges, implementation details and results during periodic reviews and technical interchange meetings.

Job Requirements:

• Knowledge of Lie algebra and the ability to manipulate coordinate frames for non-linear state estimation and uncertainty propagation.
• Experience with pose-graph optimization and an optimization library like G2O/Ceres/GTSAM.
• Strong foundation in linear algebra, vector analysis, and probability/statistics.
• Patents in related fields: AV/Robotics/CV/ML
• Demonstrated ability to generate scientific reports and presentations.
• Experience with Linux development using tools for code debugging and profiling.
• Experience with developing custom software within a large codebase, including proficiency with software version control systems (e.g., git or svn), code reviews, and style guidelines.
• Experience working in a team-based project from inception to demonstration across multiple disciplines, e.g., hardware design and implementation, data acquisition and analysis, mathematical modeling, algorithm development, application implementation, etc.
• Experience with crafting 3D multi-camera geometry, coordinate frames and transforms
• PhD in Robotics, Electrical Engineering, Computer Science, or similar field.
• Experience with Convolutional Neural Networks (CNNs), latest architectures/frameworks such as (Pytorch or Tensorflow or Keras)
• Experience with system requirements, testing, validation, and Agile software development.
• Publications in NeurIPS/ICML/CVPR/ICCV/ECCV/ICRA/IROS

Qualification & Experience:

• 1+ years of experience with multiple sensor systems like LiDARS, IMUs, Cameras (coursework/internship/co-op experience allowed).
• 1+ years of experience in software development using C++/Python (coursework/internship/co-op experience allowed).
• 1+ years of experience in working with mobile robots or autonomous vehicles using an open-source framework like ROS (coursework/internship/co-op experience allowed).
• Master’s degree in Mechanical Engineering, Robotics or a related field
• 1+ years of experience in developing, implementing, and testing mapping & localization algorithms, such as SLAM, ICP, Particle filtering, Kalman filtering (coursework/internship/co-op experience allowed).

Job Details:

Company: Ford Motor Company

Vacancy Type:  Full Time

Job Location: Palo Alto, CA, USA

Application Deadline: N/A

Apply Here

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