Senior Software Engineer II, Machine Learning Infrastructure
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Posted By: Will Moss on September 29, 2022 FEATURED Content We're Cruise, a self-driving service designed for the cities we love. We’re building the world’s most advanced, self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many. Cruisers have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of internal mobility, there's an opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed. If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, join us. At Cruise, the Machine Learning Infrastructure organization (MLI) builds the essential tools, frameworks, and services used by every engineer at Cruise. MLI’s goal is to greatly accelerate the development cycle of AV engineers by building the infrastructure to process, analyze, and learn from the many petabytes of data coming from our AVs, simulated tests, and real time services, empowering engineers to focus on improving the car’s safety and performance. As an engineer on this team, you will be responsible for building and supporting a petabyte-scale data platform in the cloud and providing powerful foundations for MLI’s tools, frameworks, and services. Responsibilities include ensuring scalable, transparent, and reliable data ingestion and management; development of fast, robust, and spike-resistant data consumption, data mining, and processing tools for the entire company; and development of orchestration for large-scale post-processing, and computational pipelines. What you’ll be doing:
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Will Moss
Founder & CEO, HBCU CONNECT, LLC Hampton University class of 1995 Member Since June 1999 |
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