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 WORK

We are looking for a TLM to drive the initiatives in distributed training and training optimization using key technologies to scale our deep learning models to achieve higher performance. Your responsibilities:

• Define and execute the technical vision and roadmap for the Training ML Infra team
• Lead, mentor, and grow a team of approximately 6-10 engineers, promoting a culture of technical excellence and collaboration.
• Collaborate with ML teams to ensure smooth adoption and continued velocity.
• Promote engineering best practices and cultivate a culture of continuous improvement in the team.

ABOUT THE ROLE

The Training ML Infrastructure team is growing and we are looking for a seasoned engineering leader to lead this team. Nuro is pursuing an ML-first software stack. Our team empowers machine learning development in Nuro by building platforms to improve model training velocity, providing productivity tools to analyze model performance, and optimizing model training to reduce training time. Our solutions include a distributed training platform, scheduler, model component libraries, compilers, e.t.c

We are looking for a TLM to drive the initiatives in distributed training and training optimization using key technologies to scale our deep learning models to achieve higher performance. Your responsibilities:

• Define and execute the technical vision and roadmap for the Training ML Infra team
• Lead, mentor, and grow a team of approximately 6-10 engineers, promoting a culture of technical excellence and collaboration.
• Collaborate with ML teams to ensure smooth adoption and continued velocity.
• Promote engineering best practices and cultivate a culture of continuous improvement in the team