Senior Engineer, Computer Vision/machine Learning Semantic Mapping

2 weeks ago

Singapore Motional Full time

**Mission Summary**:
We are actively seeking an exceptional Computer Vision / Machine Learning (CV/ML) 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 automated semantic annotations and map change detection. This is an exciting opportunity to have a direct impact on the company's goals by solving technical problems which allow us to scale production maps to meet the needs of commercial operations.

**What You'll Be Doing**
- Design and implement automated semantic mapping solutions from ground up, taking ownership of complex challenges.
- Develop and deploy scalable and efficient software in the cloud.
- Collaborate with internal teams that focus on HD mapping and CV/ML models (e.g. SLAM, segmentation networks, object detection networks) to improve our semantic maps.
- Understand how the maps are consumed and design metrics and tools to evaluate and validate our automated annotations
- 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 Engineering, Computer Science, Electrical Engineering, Robotics or a related field.
- 3+ years of experience shipping production software in robotics / graphics / mapping which cover topics in SLAM, geometric computer vision, point cloud processing and/or scene reconstruction.
- Strong C++ or Python software engineering and algorithm skills including software design, source control management, build processes, code reviews, testing methods..
- Deep understanding of CV/ML techniques, particularly integrating ML modules in production.
- Ability to communicate and collaborate across multiple teams, researchers and engineers.
- Strong problem-solving skills and ability to learn.

**Bonus Points (not required)**
- Experience with large-scale data processing and backend distributed systems.
- Experience in cloud technologies and building/maintaining a cloud service and databases is desired

**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.
- 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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