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.
Design and implement frontend architectures to support labeling and analysis of many different ground truth labeled datasets.
Build highly interactive tools to enable people to efficiently and accurately annotate raw sensor data for consumption by machine learning and validation teams.
Build frontends to provide operational insight into our data and labeling tasks.
Work closely with machine learning engineers to enable R&D efforts and improve existing systems.
Drive best practices in our React & Redux based applications
Experience building modern frontends using React, Redux, and similar libraries
Experience working with backend REST APIs and websockets
Bachelor degree in Computer Science, or equivalent real-world experience
Passionate about self-driving technology and its potential impact on the world
Experience building interactive tools that are core to people’s daily work.
Experience or interest in machine learning technologies.
Experience with Three.js or WebGL
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.