Principal Machine Learning Integration Engineer
Company: Motional
Location: Pittsburgh
Posted on: February 14, 2026
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Job Description:
Job Description Job Description We are seeking a passionate and
experienced engineer to help bring machine learning–based motion
planning to the car. In this role, you will focus on deploying,
optimizing, and maintaining ML-driven planning and control
algorithms for real-time autonomous driving. You will collaborate
across motion planning, controls, and software engineering teams to
ensure models run reliably in production, under strict performance
and safety constraints. If you are excited by the challenge of
bridging advanced ML with safety-critical, resource-constrained
vehicle platforms—and want to shape the future of autonomy—we
encourage you to apply. What You'll Be Doing Deploy ML-based motion
planning and control models onto vehicle platforms, ensuring
performance under resource constraints. Optimize models for
inference speed, latency, and memory footprint without sacrificing
accuracy or safety. Collaborate with motion planning, controls, and
perception teams to integrate ML components into the end-to-end
autonomous driving stack. Build scalable deployment infrastructure
including evaluation pipelines, model packaging, benchmarking, and
automated validation. Validate model performance in both simulation
and on-road testing, analyzing results and driving iterative
improvements. Maintain production-quality code in C++ and Python
What We're Looking For BS/MS/PhD in Robotics, Computer Science,
Electrical Engineering, or a related field. 5 years of professional
experience deploying ML systems in real-world robotics, embedded,
or autonomous platforms. Experience with reinforcement learning.
Strong software engineering skills in C++ and Python , with
knowledge of modern development practices (code reviews, testing,
CI/CD). Hands-on experience with ML frameworks (PyTorch,
TensorFlow) and model optimization for deployment. Familiarity with
GPU acceleration, or inference optimization (e.g., TensorRT, CUDA).
Strong problem-solving skills and ability to debug complex systems
under production constraints. Bonus Points Experience with
autonomous vehicle motion planning, control algorithms (MPC, LQR,
PID), or reinforcement learning–based methods. Publications in
relevant ML or robotics conferences (ICRA, NeurIPS, CoRL, RSS,
etc.). Experience with ROS, AUTOSAR, or other real-time robotics
frameworks. Knowledge of numerical optimization and its
applications in trajectory generation. Why You'll Love Working Here
Shape the real-world deployment of cutting-edge ML technology on
autonomous vehicles. Work with world-class ML researchers, software
engineers, and controls experts in a highly collaborative
environment. Contribute to a mission-driven company building safe,
accessible, and transformative mobility solutions. 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—$283,900
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 Machine Learning Integration Engineer, Engineering , Pittsburgh, Ohio