Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.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.cAbout 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:<ul><li>Define and execute the technical vision and roadmap for the Training ML Infra team</li><li>Lead, mentor, and grow a team of approximately 6-10 engineers, promoting a culture of technical excellence and collaboration.</li><li>Collaborate with ML teams to ensure smooth adoption and continued velocity.</li><li>Promote engineering best practices and cultivate a culture of continuous improvement in the team.</li></ul>About You <ul><li>6+ years of work or research experience in ML Infra, distributed training, or distributed systems in ML domain</li><li>Proven leadership experience managing and growing high-performing engineering teams, with a demonstrated ability to mentor and inspire technical talent.</li><li>Knowledge in using at least one deep learning framework, e.g. Tensorflow, Pytorch, JAX. Be able to understand deep learning algorithms, e.g. computer vision, NLP, behavior planning.</li><li>Strong communication and teamwork skills. Be passionate about exploring and promoting cutting edge technology.</li></ul>Bonus Points  <ul><li>Experience with CUDA, Pallas or Triton</li><li>Experience with distributed training speedup (e.g. FSDP, DeepSpeed).</li><li>Familiarity with TPUs</li></ul>At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $222,775 and $333,925 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. #LI-DNP

We believe that great technology should benefit everyone. The team at Nuro is accelerating a future where robots make life easier and help us connect to the people and things we love. Together, we're pushing the boundaries of robotics to improve human life.
Dave Ferguson and Jiajun Zhu have devoted their careers to robotics and machine learning, most recently as Principal Engineers at Google's self-driving car project (now Waymo). They founded Nuro in 2016 to harness the power of robotics and artificial intelligence to solve new challenges at a global scale.
Our vehicle is a fully autonomous, on-road vehicle designed to transport goods quickly, safely, and affordably.
With no driver or passengers to worry about, our vehicle has been engineered from the ground up to keep what's outside even safer than what's inside.
Efficient, electric, and fully autonomous, it delivers life's needs at a price anyone can afford.

Technical Lead Manager, ML Infrastructure

Who We Are&nbsp;Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.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,&nbsp; e.t.cAbout 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:<ul><li>Define and execute the technical vision and roadmap for the Training ML Infra team</li><li>Lead, mentor, and grow a team of approximately 6-10 engineers, promoting a culture of technical excellence and collaboration.</li><li>Collaborate with ML teams to ensure smooth adoption and continued velocity.</li><li>Promote engineering best practices and cultivate a culture of continuous improvement in the team.</li></ul>About You <ul><li>6+ years of work or research experience in ML Infra, distributed training, or distributed systems in ML domain</li><li>Proven leadership experience managing and growing high-performing engineering teams, with a demonstrated ability to mentor and inspire technical talent.</li><li>Knowledge in using at least one deep learning framework, e.g. Tensorflow, Pytorch, JAX. Be able to understand deep learning algorithms, e.g. computer vision, NLP, behavior planning.</li><li>Strong communication and teamwork skills. Be passionate about exploring and promoting cutting edge technology.</li></ul>Bonus Points&nbsp; <ul><li>Experience with CUDA, Pallas or Triton</li><li>Experience with distributed training speedup (e.g. FSDP, DeepSpeed).</li><li>Familiarity with TPUs</li></ul>At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $222,775 and $333,925 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. #LI-DNP

Technical Lead Manager, ML Infrastructure

About the Job

About the Company

Nuro

Similar Jobs

Principal Software Engineer, ML Infrastructure

Principal Software Engineer, ML Infrastructure

Senior Manager Cloud Infrastructure Engineering

Senior Manager Cloud Infrastructure Engineering

Machine Learning Engineer - Technical Lead

Machine Learning Engineer - Technical Lead

Staff Engineer, Machine Learning - Online Mapping

Staff Engineer, Machine Learning - Online Mapping

AI ML Engineer (Senior)

AI ML Engineer (Senior)

Senior ML Platform Engineer

Senior ML Platform Engineer

Senior Machine Learning Ops Engineer

Senior Machine Learning Ops Engineer

AI Modelling Lead

AI Modelling Lead

Sr. Engineering Manager, Data Infrastructure

Sr. Engineering Manager, Data Infrastructure

Software Engineer, Machine Learning Infrastructure

Software Engineer, Machine Learning Infrastructure