Software Engineer, ML Infra

Posted 13 Hours Ago
Mountain View, CA
167K-251K Annually
Junior
Artificial Intelligence • Automotive • Information Technology • Robotics
The Role
The Senior Software Engineer in ML Infra will focus on creating scalable ML infrastructure and distributed training solutions, optimizing model training processes, and developing tools for performance monitoring. Responsibilities include researching distributed training frameworks and enhancing the performance of deep learning models.
Summary Generated by Built In

Who We Are 

Nuro exists to better everyday life through robotics. Founded in 2016, Nuro has spent eight years developing autonomous driving (AD) technology and commercializing AD applications. The Nuro Driver™ is our world-class autonomous driving system that combines AD hardware with our generalized AI-first self-driving software. Built to learn and improve through data, the Nuro Driver™ is one of the few driverless autonomous technologies on public roads today.

Nuro has raised over $2B in capital from Fidelity, Bailie Gifford, T. Rowe Price, Google, and other leading investors. We’ve partnered with some of the world’s most respected brands including Uber, FedEx, Domino’s, Walmart, Kroger, and 7-Eleven

About the Role

Our team is growing and we are looking for talented engineers to join us. Nuro is pursuing a ML-first software stack. The ML Infra team is building scalable machine learning infrastructure and distributed training solutions to empower the ML development at Nuro.

About the Work

Depending on your skill set and areas of interest you will work on some or all of the following:

  • Research and develop new distributed training frameworks and strategies to support training deep learning models with growing sizes.
  • Improve model training speed by optimizing Tensorflow, Keras, Pytorch and Cuda kernel implementation.
  • Engineer advanced tools to profile and monitor model training performance across all teams, to detect and triage training problems.

About You

  • 2+ years of relevant work experience, or an equivalent experience in PhD.
  • You understand machine learning models and ML development life cycle.
  • You have experience in building a cloud-based distributed training platform, which fully supports data and model parallelism.
  • You have experience investigating and optimizing training performance bottlenecks for deep learning models.

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $167,200 and $250,800 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

Top Skills

Keras
PyTorch
TensorFlow
The Company
Mountain View, CA
908 Employees
On-site Workplace
Year Founded: 2016

What We Do

We're on a mission to better everyday life through robotics.

Our custom electric autonomous vehicles are designed to bring the things you need—from produce to prescriptions—right to your home. Nuro’s autonomous delivery can give you valuable time back and more freedom to do what you love. This convenient, eco-friendly, safe alternative to driving can make streets safer and cities more livable. Nuro has brought autonomous delivery to local communities in Texas, Arizona, and California—for less driving and more thriving.

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