On our Map Semantics team, you will have the opportunity to work with world-class machine learning (ML) engineers, whose mission is to make self-driving vehicles a reality and to create a positive social impact. The team develops ML models that detect fixed, semantic objects in multi-modal data, enabling mapping and real-time localization. These objects include lane lines, stoplights, traffic signs and other structures in the built environment. We are looking for proven 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 projects focused on scene understanding to geometrically represent the environment. These representations will enhance the efficiency of our self-driving vehicle’s capability to map roadways and localize itself using both autonomous vehicle and remote sensing data.
- Develop machine learning models to reliably and efficiently detect the built environment using single or multi-modal sensor data including vision, LIDAR, and RADAR
- Productionize and deploy solutions onto autonomous vehicle fleets
- Collaborate with localization, mapping and perception teams to improve your products’ on-road performance
- Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience
- 7+ years of professional software engineering experience.
- Solid experience in real time 3D Object Detection, Semantic Segmentation or Scene element detection
Experience working with large scale multi-modal datasets. - Experience with deep learning frameworks such as TensorFlow or PyTorch
- Fluency in Python, including standard scientific computing libraries
- Proven track record of designing, developing and deploying ML solutions for autonomous vehicles or robotics
- 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
- Familiarity with multi-view geometry, factor graph optimization / bundle adjustment
- Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
- Remote sensing experience including geospatial coordinate frames, object detection, RPC camera models
- Experience with change detection and updating maps based on newly collected data
- Experience with un/self/semi/weakly-supervised learning techniques
- Strong programming skills in C++
- Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, WACV, AAAI, ICL, etc.)
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.
Skills Required
- Masters or Ph.D. in Computer Science or related field or equivalent industry experience
- Proven leadership in managing engineering teams
- Experience with deep learning frameworks
- Fluency in Python
- Experience designing and deploying ML solutions
What We Do
Our team is commercializing a world-class driverless system. The Motional team is behind some of the industry’s largest leaps forward in the last decade, 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 most-established public robotaxi fleet. Strategically formed by Hyundai Motor Group, one of the world’s largest vehicle manufacturers offering smart mobility solutions, and Aptiv, a global technology leader in advanced safety, electrification, and vehicle connectivity, Motional is fundamentally changing how people move through their lives.
Why Work With Us
Our leadership team has been working in this industry for decades and includes renown early innovators in driverless technology. We are creating a future where transportation is safe, reliable, and accessible. Join our team in revolutionizing the industry that will change how the world moves.
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