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Home›Jobs›Motional›Senior Software Engineer, ML Infrastructure
Motional

About Motional

Driving the future of autonomous mobility safely

🏢 Tech, Automotive👥 251-1K📅 Founded 2020📍 Boston, Massachusetts, United States

Key Highlights

  • Partnership with Lyft for autonomous ride-hailing services
  • Extensive testing in Las Vegas and Boston
  • Headquartered in Boston, Massachusetts
  • Over 1,000 employees dedicated to autonomous technology

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...

🎁 Benefits

Motional offers competitive salaries, equity options, generous PTO, comprehensive health benefits, and a flexible remote work policy to support work-l...

🌟 Culture

Motional fosters a culture of innovation and safety, emphasizing collaboration among engineers and researchers to push the boundaries of autonomous te...

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Motional

Senior Software Engineer, ML Infrastructure

Motional • Singapore, Central, Singapore

Posted 2w agoSeniorSoftware engineering📍 Singapore
Apply Now →

Skills & Technologies

PythonGoKubernetesAWSGCPAzure

Overview

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.

Job Description

Who you are

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.

Desirable

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.

What you'll do

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.

What we offer

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.

Interested in this role?

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