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 today’s most complex engineering challenges and make a positive impact.
In this role, you will design and develop the frameworks used specifically by our data scientists, and generally by the autonomous systems engineering teams as they analyze the on-road performance of new features.
Provide Python data access abstractions for data scientists and statisticians
Develop, extend, and maintain data science frameworks
Maintain traditional RDBMS and distributed SQL systems for data science use cases
Mine very large time series data sets and automate rapid signal extraction
Provide advice on code management and collaborative tools for data science
Strong Python programming skills and ability to code swiftly
Significant experience with at least one ML or distributed computing framework
3+ years experience using Spark
Passion for correctness
Bachelor’s or higher in Computer Science, Math, or a similar field
Practical command of C++
Familiarity with Java, Scala, bash
Command of SQL and database design using Postgres or a similar RDBMS
Experience working with Docker development and deployment workflows
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.