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 Staff Software Engineer to lead pivotal initiatives within our ML Orchestration team. 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 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:
Design & Implementation: Utilize the latest cloud technologies (GCP/Azure) to design, implement, and test scalable distributed computing and data processing solutions in the cloud.
Project Ownership: Take ownership of technical projects from inception to completion, contribute to the product roadmap, and make informed decisions on major technical trade-offs.
Collaboration: Effectively engage in team planning, code reviews, and design discussions, considering the impact of projects across multiple teams while proactively managing conflicts.
Mentorship & Recruitment: Conduct technical interviews with calibrated standards, onboard, and mentor engineers and interns, fostering a culture of growth and knowledge sharing.
What you must have:
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.
Experience working with relational and NoSQL databases.
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.
Bonus Points:
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 $175,100 - $257,500. 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.
