Software Engineering • Senior

Who you are

You have 4+ years of professional software engineering experience, ideally with a strong foundation in building robust platforms. Your educational background includes a BS or MS in Computer Science or a related technical field, equipping you with the knowledge to tackle complex engineering challenges. You possess hands-on experience developing and deploying applications on Kubernetes (k8s), 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 significant engineering tasks. You are proficient in programming languages such as Python and Go, or similar languages, allowing you to write high-quality, maintainable code. Additionally, you have solid experience with a major cloud provider, whether it be AWS, GCP, or Azure, which is crucial for managing the infrastructure effectively. You have a strong sense of ownership and a passion for building high-quality software that drives innovation.

What you'll do

In this role, you will design, build, and deploy core components of our ML infrastructure platform on Kubernetes. Your responsibilities will include 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 efficient and reliable. You will own features and systems end-to-end, driving them from initial design through to production deployment and operation. Your contributions will directly impact the pace of autonomous vehicle innovation, making your work critical to the success of the team. You will collaborate closely with machine learning engineers to understand their needs and ensure that the infrastructure meets their requirements. You will also participate in code reviews and contribute to the overall improvement of engineering practices within the team.

What we offer

Motional provides a collaborative and inclusive work environment where innovation thrives. You will have the opportunity to work on cutting-edge technology that is shaping the future of self-driving vehicles. We encourage a hybrid work model, allowing you to balance your time between remote work and in-office collaboration. Our team values diversity and is committed to creating an inclusive environment for all employees. We offer competitive compensation and benefits, along with opportunities for professional growth and development. Join us in our mission to revolutionize transportation through advanced machine learning technologies.