Offer summary

Qualifications:

Masters or PhD in Computer Science, Robotics, or a related technical field; or equivalent industry experience., Extensive experience managing and leading engineers with proven leadership skills in executing complex technical initiatives., Deep understanding of SLAM, particularly state-of-the-art visual and visual-inertial SLAM, and fluency in C++ software engineering., Excellent communication and interpersonal skills..

Key responsabilities:

Define and execute localization projects to enhance self-driving vehicle navigation capabilities.

Lead, manage, and grow a team of engineers while driving the strategy for next generation localization solutions.

Communicate strategies, progress, and challenges to executive leadership and collaborate with various teams to validate product performance.

Design and implement localization solutions leveraging SLAM/VSLAM advancements, and deploy these solutions onto autonomous vehicle fleets.

Job description

We are actively seeking an exceptional Localization Technical Lead Manager (TLM) to lead and manage a team of state estimation engineers designing and developing 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 driving next generation localization (and mapping) solutions. We are looking for proven leaders and technical experts who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You'll Be Doing

Define and execute localization projects that improve our self-driving vehicles’ capability to safely and comfortably navigate complex ODDs
Lead, manage and grow a team of engineers
Drive the strategy and roadmap for next generation localization solutions
Communicate strategies, progress and challenges to executive leadership
Design and lead the implementation of localization solutions that leverage the latest in SLAM / VSLAM including advancements using ML
Productionize and deploy solutions onto autonomous vehicle fleets
Collaborate with mapping, perception, integration and systems teams to validate and enhance your products’ on-road performance

What We're Looking For

Masters or PhD in Computer Science, Robotics or a related technical field; or equivalent industry experience
Extensive experience managing and leading engineers
Proven leadership skills at executing large, complex technical initiatives
Proven track record of shipping production software in localization or state estimation
Deep understanding of SLAM, particularly state-of-the-art visual and visual-inertial SLAM
Fluency in C++ software engineering and algorithm skills in a Unix environment.
Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
Excellent communication and interpersonal skills

Bonus Points

Experience applying machine learning techniques to SLAM problems.
Experience with embedded systems and real-time optimization, especially in the autonomous driving industry

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range

$212,000—$283,975 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 aren't 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. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

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