Principal Engineer - Visual Mapping and Localization
Company: Motional
Location: Pittsburgh
Posted on: February 10, 2026
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Job Description:
Job Description Job Description Mission Summary: On our Spatial
Intelligence Team, you'll have the opportunity to work with
world-class 3D computer vision and machine learning engineers,
whose mission is to make self-driving vehicles a reality and to
create a positive social impact. The team creates computer
vision-derived world maps, fuses vision-derived maps with
LIDAR-based maps, updates these maps as the world changes, and
localizes autonomous vehicles within these maps in real-time. We
are looking for proven technical experts who are passionate about
Level 4 autonomous driving technology, excited by intellectual
challenges, and are interested in pursuing career growth in a
fast-growing company. What You'll Be Doing: Define, lead and
execute computer-vision based mapping projects that improve our
self-driving vehicles' capability to efficiently map roadways and
localize itself using vehicle and remote sensing data Develop
methods to monitor changes to the environment and update maps
accordingly Integrate visual maps with LIDAR-derived maps to create
consistent fused world maps Productionize and deploy solutions onto
autonomous vehicle fleets Collaborate with LIDAR-based localization
and mapping, and perception teams to improve our vehicle's on-road
performance What We're Looking for: Experience developing software
for geometric computer vision - geometric camera models, camera
calibration, fundamental / essential matrices, the epipolar
constraint, feature detection and matching, triangulation
Experience with visual simultaneous localization and mapping
(VSLAM), structure from motion, visual-inertial SLAM,
visual-inertial odometry, and large-scale bundle adjustment/factor
graph optimization at scale Proven track record of designing,
developing and deploying 3D computer vision solutions for
autonomous vehicles, augmented reality, robotics or related
applications Masters or Ph.D. in Computer Science or a related
technical field; or equivalent industry experience 7 years of
professional software engineering experience. Advanced knowledge of
software engineering principles including software design, source
control management, build processes, code reviews, testing methods
Extensive experience in metrics design and metrics driven
technology development Excellent communication and interpersonal
skills Strong programming skills in C++ Proven track record of
publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV,
WACV, AAAI, ICL, etc.) Bonus Points: Experience with
multi-modality, multi-sensor fusion-based mapping, e.g. visual
LIDAR-based mapping Remote sensing experience including geospatial
coordinate frames, RPC camera models Strong python programming
skills Experience training ML models using Pytorch or other
libraries We encourage a hybrid schedule with in-office time at one
of our locations in Boston, Pittsburgh, or Las Vegas to support
collaboration, or this role can be fully remote. 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 $240,000—$330,000
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 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.
Keywords: Motional, Akron , Principal Engineer - Visual Mapping and Localization, Engineering , Pittsburgh, Ohio