Principal Software Engineer, ML Infrastructure

Who you are

You have 7+ years of professional software engineering experience, with a strong foundation in building and operating large-scale infrastructure. Your educational background includes a BS, MS, or PhD in Computer Science or a related technical field, equipping you with the knowledge to tackle complex engineering challenges. You possess hands-on experience with Kubernetes, having designed, built, and operated critical services at significant scale. Your deep understanding of the challenges in developing high-throughput, reliable systems makes you a valuable asset to any engineering team.

As a Principal Engineer, you are not just a technical expert but also a mentor. You enjoy guiding and elevating the technical abilities of your peers through design reviews, pair programming, and constructive feedback. You thrive in collaborative environments where you can share your knowledge and help others grow. Your leadership style is characterized by setting a clear architectural vision and making high-impact decisions that accelerate development.

You are passionate about building robust platforms that empower Machine Learning Engineers to innovate. You understand the importance of creating foundational infrastructure that supports the next generation of self-driving technology. Your experience in architecting scalable, distributed infrastructure services positions you as a cornerstone of the team, capable of influencing the technical roadmap and driving projects to success.

Desirable

Experience with high-performance systems and data processing is a plus. Familiarity with machine learning concepts and practices will help you align your work with the broader goals of the team. You are also open to learning new technologies and methodologies that can enhance your contributions.

What you'll do

In this role, you will architect and lead the development of highly scalable, distributed infrastructure services on Kubernetes. You will set the technical vision and roadmap for the team, making high-impact decisions that accelerate the development of autonomous vehicle technology. Your hands-on approach will involve building and deploying complex components of the platform, from high-throughput data processing services to core compute orchestration.

You will mentor and guide other engineers on the team, elevating the group's technical abilities through design reviews, pair programming, and direct feedback. Your leadership will foster a culture of collaboration and continuous improvement, ensuring that the team remains at the forefront of technology and innovation.

You will also engage with cross-functional teams to understand their needs and translate them into technical requirements. Your ability to communicate effectively with both technical and non-technical stakeholders will be crucial in driving projects forward and ensuring alignment across the organization.

What we offer

Motional offers a dynamic work environment where you can make a significant impact on the future of transportation. You will have the opportunity to work with cutting-edge technologies and collaborate with a talented team of engineers. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

We provide competitive compensation and benefits, along with opportunities for professional growth and development. Join us in our mission to revolutionize transportation through innovative self-driving technology.