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Senior Engineer - SLAM - Remote Eligible

Architect and develop next-generation mapping and localization solutions for autonomous vehicles
Remote
Senior
$146,600 – 225,000 USD / year
3 weeks ago
Motional

Motional

A leader in autonomous driving technology, specializing in the development of driverless vehicles for safe and reliable transportation solutions.

Senior Engineer - SLAM

We are actively seeking an exceptional Mapping and Localization Software Engineer to design and develop cutting-edge systems and software for our current and future autonomous driving efforts. As a member of the Localization, Mapping and Calibration (LMC) organization, you will play a critical role in architecting and developing next-generation mapping and localization solutions. This is an exciting opportunity to have a direct impact on the company's goals by solving technical problems which allow us to scale by reducing the cost and resources to map an area.

What You'll Be Doing

  • Solve complex challenges associated with large-scale mapping and localization by applying state-of-the-art methods and techniques.
  • Drive innovation and deliver impactful solutions by applying state-of-the-art methods and techniques to scale production maps.
  • Develop and deploy scalable and efficient onboard and offboard software.
  • Collaborate with experts across autonomy, including perception, motion planning and controls.
  • Prioritize safety above all else in designing and implementing software solutions, ensuring the highest standards of safety in our autonomous driving efforts.

What We're Looking For

  • Masters or PhD in Computer Science, Robotics or a related field.
  • 2+ years of experience shipping production software in mapping and localization.
  • Strong C++ software engineering and algorithm skills in a Unix environment.
  • Deep understanding of SLAM, particularly state-of-the-art visual and visual-inertial SLAM.
  • Strong fundamentals in nonlinear optimization and numerical linear algebra.
  • Strong problem-solving skills and ability to learn.
  • Ability to communicate and collaborate across multiple teams, researchers and engineers.

Bonus Points (not required)

  • Experience applying machine learning techniques to SLAM problems.

Salary Range

$146,600 - $225,000 USD

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We're not just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.

Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia.

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Senior Engineer - SLAM - Remote Eligible
Remote
$146,600 – 225,000 USD / year
Engineering
About Motional
A leader in autonomous driving technology, specializing in the development of driverless vehicles for safe and reliable transportation solutions.