Nuro Logo

Nuro

Mapping & Localization, Software Engineering Intern

Job Posted 9 Days Ago Posted 9 Days Ago
Be an Early Applicant
Mountain View, CA
Internship
Mountain View, CA
Internship
As a software engineering intern, you will develop features related to sensor data, mapping, localization, and machine learning for autonomous vehicles.
The summary above was generated by AI

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
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: Sensor Data & Calibration, Pose, Mapping, Localization, Online Map, Map ML Platform, Routing.

About the Work

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

  • Sensor Data & Calibration: The Sensor Data & Calibration team ensures all sensors on our vehicles (camera, LIDAR, radar) provide high quality and reliable data suitable for localization and perception across our mixed fleet of platforms. In addition, this team develops cutting-edge learning based approaches to simulate sensor data for current and future target vehicles. Projects include online calibration (camera-LIDAR, camera radar) as well as learned sensor simulation for training and evaluating multimodal perception. 
  • Localization & Mapping: The Localization & Mapping team ensures our vehicles have accurate and up-to-date maps of their environments, generated from multiple data sources including first-party HD maps. In addition, this team is responsible for learned online localization using a range of different sensor modalities (camera, LIDAR, radar). Projects include learned matching for accelerated mapping and offline geospatial models for generating semantic maps. 
  • Map ML Platform: The Map ML Platform team is the accelerator to our ML-first mapping strategy. This team provides solutions to empower machine learning development in L&M and optimize on-cloud training and onboard inference, along with large-scale map data management, testing and deployment processes. Projects include vast-scale unstructured data mining for improved map understanding and efficient operational map maintenance tooling. 
  • Online Map: The Online Map team is responsible for onboard map perception to enable autonomy at vast geographic scale. This team builds cutting-edge ML models to combine onboard perception data with a range of map priors, in order to deliver contextual information about roads and intersections to our vehicles in real-time and handle construction and other changes that limit traditional HD map approaches. Projects include open vocabulary learning for road taxonomy, map label management and auto-evaluation, transformer model architecture design and optimization

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 or before December 2026
  • You have experience in one or more of the following areas: computer vision; machine learning; robotics; large-scale distributed systems; data storage and processing systems; advanced algorithms using C++ and Python; robotics software frameworks.
  • You have strong problem solving and programming skills.

For this position, the reasonably expected pay is around  $11,500 per month. Your actual base pay will depend on several factors, including your experience, qualifications, education, location, and 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 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

C++
Python

Nuro Mountain View, California, USA Office

Mountain View, CA, United States

Similar Jobs

31 Minutes Ago
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
Mid level
Mid level
Fintech • Machine Learning • Mobile • Security • Software
Develop and maintain backend software, collaborate with cross-functional teams, implement APIs, and ensure code quality in a production environment.
Top Skills: APIsCaching SystemsFullstack DevelopmentRuby On RailsTransactional Databases
34 Minutes Ago
Hybrid
Santa Clara, CA, USA
141K-239K Annually
Mid level
141K-239K Annually
Mid level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Senior Software Engineer will build scalable code, collaborate on requirements, implement AI solutions, enhance products, and mentor colleagues.
Top Skills: AngularJavaJavaScriptReactVue
2 Hours Ago
Hybrid
San Francisco, CA, USA
Mid level
Mid level
Artificial Intelligence • Productivity • Software
The Automation Engineer will design and maintain automated integrations between business systems, enhancing operational efficiency using Python and iPaaS tools. Responsibilities include creating workflows, resolving integration issues, and documenting processes.
Top Skills: GraphQLMulesoftNetSuitePythonRest ApisSalesforceStripeTray.IoWorkatoZapier

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account