Systems Test Engineering Intern

Mountain View, CA, US • Posted 24 days ago • Updated 1 hour ago
Full Time
On-site
USD $11,500.00 - 14,000.00 per month
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Job Details

Skills

  • Artificial Intelligence
  • Computer Hardware
  • System Testing
  • STE
  • Continuous Improvement
  • Automated Testing
  • FOCUS
  • Testing
  • Reporting
  • Performance Metrics
  • Computer Science
  • Python
  • C++
  • Build Automation
  • Continuous Integration
  • Continuous Delivery
  • Regression Testing
  • Git
  • Communication
  • Documentation
  • Collaboration
  • Robotics
  • Workflow
  • Systems Engineering
  • Verification And Validation
  • Machine Learning (ML)
  • Deep Learning

Summary

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 RoleThe Systems Test Engineering Intern (STE Intern) supports the team responsible for building the structure and processes for the "right side of the V" in Systems Engineering (verification & validation). In this role, you'll help design, implement, and improve automated test pipelines and the supporting workflows that make testing faster, more reliable, and easier for Systems Engineers to adopt.

About the Work

The STE Intern role involves hands-on technical work to support the design, alignment, and continuous improvement of automated test pipelines and validation workflows:
  • Support the development of automated test pipelines and tooling, with a focus on ease of adoption and minimal friction for Systems Engineers.
  • Help drive standardization across testing modalities by contributing to consistent triage workflows and shared best practices across workstreams.
  • Help improve early detection of simulation failures during V&V execution by owning the automation work and reporting key performance metrics such as recall and precision.

About You
  • Currently pursuing a Bachelor's or Master's degree in Engineering, Computer Science, Robotics, or a related field
  • Ability to write production-quality code in Python and/or C++ to build automation and tooling
  • Working knowledge of CI/CD pipelines and automated regression testing concepts
  • Proficiency with Git and modern development workflows (branching, pull requests, and code reviews)
  • Strong communication and documentation skills, with the ability to collaborate effectively across teams
  • Interest in autonomous vehicles / robotics and safety-oriented validation workflows

Bonus Points
  • Familiarity with autonomous driving simulators is beneficial
  • Ability to apply systems engineering concepts of requirements, verification and validation.
  • Experience in ML/Deep Learning

Note: This is a summer internship that will require in-office presence of 3-4 days a week in our Mountain View, CA location.

For this position, the reasonably expected pay range is between $11,500 to $14,000/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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91136792
  • Position Id: bb5b604354347125e40d8c2c50058167
  • Posted 24 days ago
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