We're Cruise, a self-driving service designed for the cities we love.

We’re building the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.

In our cars, you’re free to be yourself. It’s the same here at Cruise. We’re creating a culture that values the experiences and contributions of all of the unique individuals who collectively make up Cruise, so that every employee can do their best work. 

Cruise is committed to building a diverse, equitable, and inclusive environment, both in our workplace and in our products. If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, come join us. Even if you might not meet every requirement, we strongly encourage you to apply. You might just be the right candidate for us.

About the team:

The Machine Learning Orchestration team at Cruise is dedicated to owning and developing our cutting-edge workflow management platform. This platform provides a semantic orchestration framework for machine learning workflows and data processing, enabling our engineers to accelerate the development cycle and focus on enhancing the safety and performance of our autonomous vehicles.

Position Overview:

We are seeking an experienced Tech Lead Manager to lead a pivotal team within our ML Orchestration group. You will play a crucial role in scaling our platform, developing automation and self-service tools for our users, and ensuring the efficient operation of ML pipelines at scale.

Note: This team and role is part of an infrastructure engineering team and does not involve the application of machine learning models for specific tasks. Instead, the focus is on developing infrastructure products that empower our customers to perform machine learning and data science at scale.
 

What you’ll be doing:

• Team Leadership: Manage and technically guide a team of engineers, providing support and resources to help them advance in their careers and achieve their professional goals.

• Design & Implementation: Utilize the latest cloud technologies (GCP/Azure) to architect, implement, and test scalable distributed computing and data processing solutions.

• Project Ownership: Take full ownership of technical projects from inception to completion, actively contributing to the product roadmap and making informed decisions on critical technical trade-offs.

• Collaboration: Foster effective collaboration by engaging in team planning, code reviews, and design discussions. Assess the implications of projects across multiple teams and proactively address any conflicts that arise.

• Hiring & Mentorship: Lead recruitment efforts by conducting technical interviews with calibrated standards, onboarding new engineers and interns, and mentoring them to cultivate a culture of growth, knowledge sharing, and continuous improvement.

• Engineering Best Practices: Ensure the adoption and adherence to best engineering practices, maintaining a high standard of quality in all product offerings.

• Strategic Planning: Drive strategic planning and vision-setting initiatives while establishing scalable processes for effective execution.
   

What you must have:

• 2+ years of experience leading a team as a tech lead and/or manager

• 8+ years of experience, with a strong background in large-scale distributed systems preferred.

• 3+ years of experience leading and driving large-scale initiatives.

• Proficiency in building scalable infrastructure on the cloud using Python, C++, Golang, or similar languages.

• Demonstrated ability to develop and maintain systems at scale.

• A Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience.

• A passion for self-driving technology and its transformative potential.