Senior Machine Learning Infrastructure Engineer

2 days ago


Mountain View, California, United States Nuro Full time

About Nuro

Nuro exists to better everyday life through robotics. Founded in 2016, we've spent eight years developing autonomous driving technology and commercializing applications.

Our Driver is a world-class system combining AD hardware with our AI-first self-driving software. Built to learn and improve through data, it's one of the few driverless autonomous technologies on public roads today.

We've raised over $2B in capital from leading investors, including Fidelity, Bailie Gifford, T. Rowe Price, Google, and more.

We've partnered with respected brands like Uber, FedEx, Domino's, Walmart, Kroger, and 7-Eleven.

About the Role

Our team is growing, and we're seeking talented engineers to join us. We're pursuing a ML-first software stack, and the ML Infra team is building scalable infrastructure and distributed training solutions.

About the Work

You'll work on research and development of new distributed training frameworks and strategies to support growing deep learning models.

You'll improve model training speed by optimizing Tensorflow, Keras, Pytorch, and Cuda kernel implementation.

You'll engineer tools to profile and monitor model training performance across all teams.

About You

We're looking for engineers with 2+ years of experience or an equivalent PhD.

You should understand machine learning models and the development lifecycle.

You should have experience building cloud-based distributed training platforms that support data and model parallelism.

You should be able to investigate and optimize training performance bottlenecks for deep learning models.

Compensation

The estimated salary for this position is between $167,200 and $250,800 based on level and experience.

This position is eligible for an annual performance bonus, equity, and a competitive benefits package.

Diversity and Inclusion

We celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees.

We are proud to be an equal opportunity employer and prohibit any form of workplace discrimination.



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