Software Engineer, AI Platform - Intern

Kindredventures; Mountain View (CA); On-site; USD 27,552 - 41,328; Full time

Job summary

Nuro is offering a Software Engineering Intern position in Mountain View, California. The role involves working closely with experts in machine learning, robotics, and software development. Interns will have opportunities across teams like Data Platform, ML Infrastructure, and Simulation, tackling challenges in autonomous driving technology.

Applicants must be current BS or MS candidates in relevant fields graduating in December 2026 or later, and experience in backend API design, large-scale systems, and programming is highly valued.

Qualifications

• You must graduate in December 2026 or later.
• Experience in advanced algorithms, multi-threading, robotics software frameworks, and software performance tuning is preferred.
• Strong problem-solving and programming skills are essential.

Responsibilities

• Work on Data Platform, Onboard Systems, ML Infrastructure, Simulation, or Technical Infrastructure teams.
• Collaborate with software, hardware, and systems teams to ensure integration.
• Build cutting-edge deep learning technologies within the simulation frameworks.

Skills

Backend API design

Applications development

Large-scale distributed systems

Data storage and processing systems

Machine learning

C++ programming

Python programming

Problem solving

Education

Currently enrolled BS or MS in Computer Science, Electrical Engineering, Robotics, or related field

Job description

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

As a software engineering intern, you will work closely with leading experts in the field of machine learning, robotics, and software. Depending on your skill sets and areas of interest, you will work on some or all of the following: Data Platform, Onboard Systems, ML Infrastructure, Simulation, or Technical Infrastructure teams.

About the Work

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

• Data Platform: The Data Platform serves as a comprehensive management system for Nuro AI Driver’s data, labels, and metrics, facilitating seamless access functionality. The team focuses on data annotation across various domains, including 2D/3D perception, mapping, behavior trajectory, and language/text. It also handles data ingestion and mining, employing methods such as heuristics and embedding search. Additionally, the platform supports the autonomy evaluation infrastructure by providing detailed introspection.
• Onboard Systems: Our onboard system team’s software engineers provide a reliable and high‑performance platform that allows our autonomy teams to integrate their autonomy software and algorithms that work across various self‑driving platforms. This work requires close collaboration with our software teams, hardware teams, and systems/safety team to make sure new software and hardware work together safely and reliably and resolve onboard error and performance problems.
• ML Infrastructure: The ML Infra team is the accelerator to our ML‑first autonomy strategy. This team provides solutions to empower machine learning development in Nuro and optimize on‑cloud training and onboard inference. Our solutions include a distributed training platform, ML compiler, model components libraries, e.t.c. The team provides opportunities for infra engineers to work fully embedded in ML teams to build cutting‑edge deep learning technologies.
• Simulation: The Simulation team builds the simulator that allows us to develop and test our autonomous driving technology in a virtual setting. We work on the core simulator and simulation frameworks, sensor simulation, scenario generation, and solutions that combine real‑world data with synthetic techniques to push the boundaries of what can be simulated, collaborating closely with teams across Autonomy and AI Platform to allow us to simulate realistically and reliably at scale.
• Technical Infrastructure: this group owns few fundamental services for entire engineering organizations: generic compute platform to host mission‑critical workflows such as data processing and simulation, storage management service which manages hundreds of PB of data, cloud infrastructure serves as IaaC which provisions and maintains all cloud resources, engineering productivity provides tools such as build and CI/CD to make engineering work more efficient.

About You

You have deep expertise and prior experience in some or many of the following areas:

• You are a current BS or MS candidate in Computer Science, Electrical Engineering, Robotics, or a related field graduating in December 2026 or later
• You have experience in one or more of the following areas: backend API design, applications development, large‑scale distributed systems; data storage and processing systems; advanced algorithms using C++ and Python; machine learning, multithreading; x86 architecture; and software performance tuning and optimization, robotics software frameworks, different compute modalities (CPU, GPU, FPGA) etc.
• You have strong problem solving and programming skills.

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 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.