
Driving the future of autonomous mobility safely
Motional, headquartered in Boston, Massachusetts, is a leader in autonomous vehicle technology, specializing in driverless cars and mobility solutions. The company has partnered with major players like Lyft and has conducted extensive testing in cities such as Las Vegas and Boston. With over 1,000 e...
Motional offers competitive salaries, equity options, generous PTO, comprehensive health benefits, and a flexible remote work policy to support work-l...
Motional fosters a culture of innovation and safety, emphasizing collaboration among engineers and researchers to push the boundaries of autonomous te...

Motional • Singapore, Central, Singapore
Motional is seeking a Senior Software Engineer for their ML Infrastructure team to design and implement core components of their machine learning platform. You'll work with technologies like Python, Go, and Kubernetes to support the development of self-driving technology.
You have 4+ years of professional software engineering experience, ideally with a strong background in building robust platforms. Your educational background includes a BS or MS in Computer Science or a related technical field, providing you with a solid foundation in software development principles. You possess hands-on experience developing and deploying applications on Kubernetes, which is essential for this role. Your expertise extends to building or working on high-scale infrastructure or distributed backend systems, showcasing your ability to handle complex engineering challenges. You are proficient in programming languages such as Python and Go, or similar languages, allowing you to write high-quality, maintainable code for high-throughput systems. Additionally, you have solid experience with a major cloud provider, whether it be AWS, GCP, or Azure, which is crucial for managing the infrastructure that supports machine learning applications.
Experience with distributed computing frameworks like Ray is a bonus, as it aligns with the advanced technologies used in the development of self-driving systems. You have a strong sense of ownership, which drives you to take initiative and ensure the success of the projects you work on.
In this role, you will design, build, and deploy core components of our ML infrastructure platform on Kubernetes. Your work will involve developing robust and scalable services that support the entire machine learning lifecycle, from data ingestion and processing to model training and evaluation. You will write high-quality, maintainable code for high-throughput systems that handle petabytes of data, ensuring that the infrastructure is capable of supporting the demands of advanced machine learning applications. You will own features and systems end-to-end, driving them from initial design through to production deployment and operation, which will directly impact the pace of autonomous vehicle innovation.
At Motional, you will be part of a team that is at the forefront of self-driving technology. We offer a collaborative work environment where your contributions will be valued and recognized. You will have the opportunity to work with cutting-edge technologies and be involved in projects that are shaping the future of transportation. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in our mission to create safe and reliable autonomous vehicles.
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