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.
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.
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.
Strong attention to detail and a commitment to accuracy.
A proven track record of efficiently solving complex problems.
A startup mentality with a willingness to embrace uncertainty and wear multiple hats.
Experience with Google Cloud Platform, Microsoft Azure, or Amazon Web Services
Experience with open-source orchestration platforms such as Kubeflow, Flyte, Airflow, etc.
Experience with Kubernetes
Understanding of Machine Learning (ML) models/pipelines
Python/C++/Golang proficiency
Relevant publications
The salary range for this position is $180,200 - $265,000. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, long-term incentives, and benefits. These ranges are subject to change.
Our benefits are here to support the whole you:
Cruise LLC is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do the best work of their lives. We seek applicants of all backgrounds and identities, across race, color, caste, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Cruise will consider for employment qualified applicants with arrest and conviction records, in accordance with applicable laws.
Cruise is committed to the full inclusion of all applicants. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know or email [email protected].
We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. To help us track the effectiveness and inclusivity of our recruiting efforts, please consider answering the following demographic questions. Answering these questions is entirely voluntary. Your answers to these questions will not be shared with the hiring decision makers and will not impact the hiring decision in any way. Instead, Cruise will use this information not only to comply with any government reporting obligations but also to track our progress toward meeting our diversity, equity, inclusion, and belonging objectives. Know Your Rights: Workplace Discrimination is Illegal
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Candidates applying for roles that operate and remotely operate the AV: Licensed to drive a motor vehicle in the U.S. for the three years immediately preceding your application, currently holding an active in-state regular driver’s license or equivalent, and no more than one point on driving record. A successful completion of a background check, drug screen and DMV Motor Vehicle Record check is also required.
Note to Recruitment Agencies: Cruise does not accept unsolicited agency resumes. Furthermore, Cruise does not pay placement fees for candidates submitted by any agency other than its approved partners.
No Application Deadline
