We’re Cruise, the self-driving ride-hailing service.
We are building the world’s most advanced, all-electric, self-driving cars to safely connect people to the places, things, and experiences they care about. We believe self-driving cars will help save lives, reimagine cities, redefine time in transit, and restore freedom of movement for many.
At Cruise, our engineers have opportunities to grow and develop while learning from leaders at the cutting-edge of their fields. With a culture of internal mobility, there's opportunity to thrive in a variety of disciplines. This is a place for dreams and doers to succeed.
If you are looking to solve one of today’s most complex engineering challenges, see the results of your work in hundreds of self-driving cars, and make a positive impact in the world starting in our cities, join us.
About the role:
The AV software stack heavily relies on machine learning techniques to perform a variety of tasks, each with different requirements of hardware/compute resources. Throughout the life-cycle of each machine learning model, skilled ML engineers (on both training and inference sides) work closely to prepare it for a robust, scalable, and compute/power efficient inferencing on a resource-constrained hardware accelerator. Such a close working relationship is key to a fast and successful deployment of intelligent systems on the car.
Cruise is looking for ML optimization engineers to help us invest in tools to optimize deep learning models for efficient inference. These optimizations are designed to reduce latency, improve throughput, reduce memory footprint without sacrificing model accuracy. Such techniques may include (but is not limited to) model quantization, model compression and graph manipulation.
In this role, you will collaborate closely with engineers from different AV Engineering teams (e.g. Computer Vision, Perception, platform) to scope out system/software requirements while working with AV hardware to understand optimization opportunities that are specific to the target hardware platform and its constraints. If you are interested in solving some of the most exciting machine learning optimization problems in the industry, then chat with us!
Day-to-day responsibilities include:
You should apply for this role if you have the following qualifications:
Perks of being a Cruiser
While doing meaningful work is rewarding in itself, we also offer the following programs and benefits to support the extraordinary humans who serve as the backbone in making our self-driving cars go:
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