Software Engineer Internship, Nuro

ML Infrastructure, Winter, 2025/2026

Salary not provided

Kubernetes

San Francisco Bay Area

More information about location

3 days a week in office (Mountain View, CA)

Autonomous delivery vehicle manufacturer

Be an early applicant

Autonomous delivery vehicle manufacturer

501-1000 employees

B2BLogisticsRoboticsElectric VehiclesComputer VisionAutomationDelivery

Be an early applicant

Salary not provided

Kubernetes

San Francisco Bay Area

More information about location

3 days a week in office (Mountain View, CA)

501-1000 employees

B2BLogisticsRoboticsElectric VehiclesComputer VisionAutomationDelivery

Company mission

To better everyday life through robotics.

Job

Company

Role

Who you are

Currently pursuing a Bachelor's or Master’s degree in Computer Science or related field and graduating in/before December 2026
Proficient in Machine Learning concepts and applications
Familiarity with Google Kubernetes Engine (GKE) and cloud resource management
Outstanding problem-solving abilities coupled with great attention to detail
Excellent interpersonal and communication skills
Requires 3 days a week in office, including Thursdays in our Mountain View, CA headquarters and the remaining 2 days in either Mountain View or our San Francisco, CA office

What the job involves

We are looking for an ambitious and talented individual who is keen on applying their skills to real-life AI infrastructural issues
In this role, you will have the opportunity to contribute to the building of a dynamic resource allocation system designed to enhance efficiency and productivity
This project is key to eliminating resource contention and optimizing our cloud infrastructure costs
The goal here is to ensure development VMs are provisioned and consumed as needed, based on the lifecycle defined by the user
Beyond system efficiency gains, this project will increase user productivity by eliminating resource access bottlenecks, allowing engineers to instantly provision machines for every task, streamlining workflows, and accelerating project completion
Develop a system to provide users with GPU VMs for their development environment
Create a dynamic VM allocation mechanism integrated into a shared Google Kubernetes Engine (GKE) resource pool
Integrate into our in-house ML Scheduler for VM provisioning and lifecycle management

Our take

Nuro offers custom-built autonomous vehicles for the delivery of physical goods, rather than people. Its vehicles have a distinctive, futuristic, design that has not only made the vehicles noticeable from a marketing point of view, but, has also made its vehicles stand out to other road users, improving safety.

Nuro is an exciting addition to the autonomous vehicle landscape. Without a passenger inside the vehicle, it has been able to sidestep some of the safety issues that have plagued other autonomous vehicle brands. Additionally, the company has landed several high-profile partners, including Uber, Walmart, Chipotle, and Kroger.

With home deliveries at an all-time high, many companies are looking for ways to get goods to customers’ homes as fast as possible. Low-cost, efficient services such as Nuro's offering are becoming increasingly attractive. Following Series E funding, the company is focusing on growing new commercial partnerships and scaling its technology.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

-29% employee growth in 12 months

Glassdoor (3.7)

Company

Funding (last 2 of 6 rounds)

Apr 2025

$203m

SERIES E

Nov 2021

$600m

SERIES D

Total funding: $2.3bn

Company benefits

Free Caltrain pass and commuter benefits
Company stock options
Work from home opportunities
Health insurance

Company HQ

Old Mountain View, Mountain View, CA

Leadership

Jiajun Zhu

(Co-Founder & Co-CEO)

After an MA in Computer Science at the University of Virginia, Jiajun worked as Principal Software Engineer at Google for over 8 years. He left this role in August 2016 to co-found Nuro with Dave.

Dave Ferguson

(Co-Founder & Co-CEO)

Experienced Robotics Engineer with stints at Google (Computer Vision and Machine Learning Lead) and Intel (Senior Research Scientist). PhD in Robotics from Carnegie Mellon University.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

Submit your salary to help other candidates with crowdsourced salary estimates.

Share this job

View 70 more jobs at Nuro