AI Robotic systems, AI technology, Autonomous vehicles, C Programming, C++, Cloud computing, Data science techniques, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
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.
The Libraries & Kernels team is looking for a GPU Libraries & Kernels intern to help with designing and developing GPU libraries for autonomous vehicles. The intern will work closely with Senior GPU ML Engineers to develop accelerator libraries for varied algorithmic workloads targeting multiple GPU platforms. The intern will also have the opportunity to understand, implement and optimize the fundamental algorithms used in a state-of-the-art AV stack. You will work at the intersection of high performance computing and machine learning to deliver real-world impact on the AV software stack at Cruise.
WHAT YOU'LL BE DOING:
WHAT YOU MUST HAVE:
BONUS POINTS!
The salary range for this position is $28.00 - 68.00/hour. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, restricted stock units, and benefits. These ranges are subject to change.
WHY CRUISE?
Cruise LLC is an American self-driving car company headquartered in San Francisco, California. Founded in 2013 by Kyle Vogt and Dan Kan, Cruise tests and develops autonomous car technology. The company is a largely-autonomous subsidiary of General Motors.