Our vehicles are on the road in California, Arizona, and Michigan navigating some of the most challenging and unpredictable driving environments. We’re hiring people who want to solve some of today’s most complex engineering challenges and make a positive impact.
Our Data Science team works closely with engineering to understand their data needs, and supports a data pipeline to extract and analyze many petabytes of vehicle sensor data, stored on-premises and in AWS.
Responsible for growing and developing multiple teams of engineers
Manage and set the direction for our Data Science and Data Engineering teams
Define, architect and implement a highly efficient data pipeline to extract key company metrics
Foster a healthy and collaborative culture
Serve as an embodiment of our values
Ensure your teams deliver high output
Help craft technical and product strategy
Experience managing multiple, high output teams in Data Science or Data Engineering
5+ years experience in software or data engineering roles
Experience managing and understanding petabytes of data
Experience working with Spark
Solve difficult problems that have immediate and valuable real-world applications
Competitive salary and benefits including matched 401k, medical / dental / vision, AD+D and Life
Paid parental leave
Flexible vacation and 10 paid company holidays
State of the art equipment for your work station
Lunch, snacks, and dinner
Free rides in self-driving cars!
GM Cruise LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, GM Cruise LLC complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.