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 Infrastructure team is building a highly resilient, performant, and secure internal Platform as a Service which hosts our core backend services to control our fleet of vehicles, runs driving simulations at scale, and executes machine learning training jobs for our Autonomous Vehicle engineering team. We’re currently using AWS, Docker, Kubernetes, Vault, and Spinnaker, but we’re also interested in your experience and suggestions.
As a member of Cruise, you will be working with cross-functional teams, customers and open source community to build, validate and deploy deep learning applications
Automate deep learning framework deployment and validation
Create services and solutions to deploy machine learning frameworks
Exceptional coding abilities, architecture, debugging, and performance/diagnostics measurement skills
Experience with Deep Learning frameworks and applications such as TensorFlow
Experience building large, scalable software systems in at least one of: Python (ideally), Go (golang), Node.js
BS in CS, Software Engineering, or related technical field
Experience with CI/CD
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. Applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.