Software Engineer Intern

Summer 2026 Software Engineering Intern

This is an 11-week paid learning experience during which you’ll be able to conne...

Location

United States , Bellevue

Salary:

26.00 - 47.00 USD / Hour

T-Mobile

Expiration Date

Until further notice

Requirements

At least 18 years of age
Legally authorized to work in the United States
Must be actively enrolled in a Bachelors or Graduate degree program
Employees of T-Mobile or Metro by T-Mobile are ineligible for Internships
Academic or web development experience using JavaScript
Solid understanding of HTML/CSS and W3C standards
Knowledge of RESTful web services and networking
Experience with building responsive application interfaces

Job Responsibility

Work with JavaScript and/or Typescript and other web technologies to deliver a performant, scalable, and responsive platform
Build web applications that need to be integrated seamlessly
Proficient understanding of code versioning tools, such as Git
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Build new features on T-Mobile.com
Assist with T-Mobile Security & Stability Initiatives

What we offer

Relocation assistance may be provided to program participants who reside more than 50 miles from the internship location

Fulltime

Summer 2026 Software Engineering Intern

T-Mobile is revolutionizing the wireless industry for millions of customers nati...

Location

United States , Frisco

Salary:

26.00 - 47.00 USD / Hour

T-Mobile

Expiration Date

Until further notice

Requirements

At least 18 years of age
Legally authorized to work in the United States
Must be actively enrolled in a Bachelors or Graduate degree program
Employees of T-Mobile or Metro by T-Mobile are ineligible for Internships
Employer does not sponsor work visas for this position
Relocation assistance may be provided to program participants who reside more than 50 miles from the internship location

Job Responsibility

Contribute to the development and enhancement of AI-driven, agentic solutions that support T-Mobile’s business customers
Collaborate with engineering, product, and data teams to design, build, and improve production-ready features
Write, test, and review code while following best practices for quality, scalability, and reliability
Analyze system performance and data to help improve automation accuracy and overall user experience
Communicate progress, tradeoffs, and results through clear documentation and regular team updates

What we offer

Get hands-on experience, training—and a leg up on a bright future
This is a 11-week paid learning experience
Connect and network with other interns and leaders within the company
Innovate with mentors who will challenge you to develop meaningful skills
Hands-on projects and the chance to create an immediate impact
Relocation assistance may be provided to program participants who reside more than 50 miles from the internship location

Fulltime

Summer 2026 Intern Onboard Infrastructure Engineer

We are looking for Interns in various areas of our software stack. Our ideal can...

Location

United States , Mountain View

Salary:

Not provided

Kodiak Robotics

Expiration Date

Until further notice

Requirements

Field(s) of study: Computer Science, Electrical Engineering, Automotive Engineering, Mechanical Engineering, or other related fields
Will consider graduate students at any stage of their Master's or Ph.D. studies
Comfort with fundamental mathematics, linear algebra, and calculus
Knowledge of the current state of robotics and/or self-driving
Knowledge of modern revision tracking systems (e.g. git)
Experience writing real-time, resource constrained, or embedded software
Understanding of network protocols such as TCP, UDP, and PTP
Familiarity with LIDARs, radars, cameras, and other sensors used in robotics

Job Responsibility

Own a project that will advance a state-of-the-art autonomous trucking platform
Develop coding skills on a production-level codebase
Collaborate with other engineers on a day-to-day basis
Work on challenging problems without clear-cut solutions

What we offer

Competitive pay
Excellent medical, dental, and vision benefits
A beautiful facility in Mountain View
Dog-friendly office
Free catered lunch

Fulltime

Robotics & Physical AI Intern, Summer 2026

We are the global test and automation specialists, powering next-generation tech...

Location

United States , North Reading

Salary:

25.50 - 47.00 USD / Hour

Teradyne

Expiration Date

Until further notice

Requirements

Currently pursuing a BS or MS in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related field
Strong hands-on mechanical skills (experience with assembly, tools, hardware integration, or lab systems)
Comfortable working in Linux environments (CLI, file systems, basic troubleshooting)
Strong Python programming skills for scripting and data processing
Strong problem-solving skills with a practical, execution-focused mindset
Ability to work independently in a lab environment while collaborating with a broader team
Familiarity with ROS2 or robotics software frameworks
Exposure to machine learning frameworks such as PyTorch or TensorFlow
Experience working with sensors, cameras, or data collection system
Experience with dataset handling, labeling, or data engineering workflow

Job Responsibility

Hands-on robotics & lab execution: Mechanically assemble, modify, and maintain robotic workcells, including fixturing, mounting, cable management, and end-effector integration
Bring up, test, and troubleshoot sensors and robot subsystems, including basic calibration and validation of repeatability
Execute structured robot data-collection runs using defined protocols and scripts
Maintain clean, reproducible lab environments and experimental setups
Data pipelines & physical AI workflows: Use Linux and Python to ingest, clean, synchronize, and package multimodal robot datasets (images, video, robot state, timestamps)
Develop simple tools for dataset validation, QA, and visualization
Prepare datasets for training workflows, including formatting, filtering, and basic annotation support
Launch and monitor model training and evaluation jobs using provided pipelines and tools
Collaboration & documentation: Work closely with robotics and AI engineers to debug issues and improve data collection workflows
Document experimental setups, procedures, datasets, and results to ensure reproducibility

What we offer

Real-world experience working with industrial robotic systems
Exposure to the intersection of robotics and modern AI systems
Mentorship from experienced robotics and AI engineers
Hands-on contributions to production-relevant robotics and data generation projects
A strong portfolio of practical robotics and AI work

We are seeking a highly motivated and talented MTS Intern to join our team. As a...

Location

United States , San Jose

Salary:

Not provided

NetApp

Expiration Date

Until further notice

Requirements

Must be enrolled in an educational or professional program through summer 2026 or later
preferrably pursuing Master’s degree in computer science, Computer Engineering, Electrical/Electronic Engineering, Information Systems or an equivalent degree
Strong programming skills in C/C++, C#, Python and Go lang
Proficiency in web development using NodeJS, JavaScript, TypeScript
Familiarity with Linux platform and operating system fundamentals
Familiarity with software development best practices, including version control and testing
Exhibit strong written and verbal communication skills
Ability to quickly grasp project requirements and execute tasks with minimal guidance
Show a strong aptitude for learning new technologies
Approach problem-solving with a creative and analytical mindset

Job Responsibility

Implement multi-threading, data structures, complex algorithms, and problem-solving techniques
Develop and maintain web applications, both frontend and backend, using various stacks (any stack)
Utilize automation skills to create Python scripts and use frameworks like Pytest for testing
Work with REST APIs and perform UI automation

Summer 2026 Software Engineering, Agentic AI & Test Automation Internship

This is an 11-week paid learning experience during which you’ll be able to conne...

Location

United States , Bellevue

Salary:

26.00 - 47.00 USD / Hour

T-Mobile

Expiration Date

Until further notice

Requirements

At least 18 years of age
Legally authorized to work in the United States
Must be actively enrolled in a Bachelors or Graduate degree program
Employees of T-Mobile or Metro by T-Mobile are ineligible for Internships
Employer does not sponsor work visas for this position
Note that this also applies to individuals who are students in F-1 status who desire sponsorship after they complete their education

Job Responsibility

Design and develop AI‑powered automation solutions to improve telecom test efficiency
Build Python‑based backend components that integrate with CI/CD systems such as Jenkins
Develop and evaluate LLM‑based solutions (e.g., Azure OpenAI, RAG workflows, agent frameworks) for analyzing logs, alarms, and KPI datasets
Create intelligent workflows for anomaly detection and root‑cause analysis
Integrate APIs and vendor platforms into internal orchestration and automation tools
Work with large engineering datasets, including logs, time‑series KPIs, and performance metrics
Participate in Agile ceremonies, such as daily standups, sprint planning, and team demos
Present project findings and a final technical deliverable to engineering leadership
Prototype and implement LLM‑based agents using enterprise‑approved tools such as OpenAI, Claude, or Windsurf
Design and build data pipelines to process telecom logs, time‑series KPIs, and performance metrics

What we offer

Relocation assistance may be provided to program participants who reside more than 50 miles from the internship location

Fulltime

2026 Summer Intern - Research and Development: Connected Vehicle System

To help facilitate administration of relocation benefits if you are selected, pl...

Location

United States , Warren

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Master’s degree required
Ph.D. degree and a strong publication record on these topics are preferable
Background in mobile networks and wireless communications, particularly on Cloud/Edge computing and 4G/5G standards
Knowledge in end-to-end system design and optimization, and protocols on handling heavy data delivery
Experiencing in working with data-intensive applications, e.g., video streaming
Experience in commonly used tools in handling video data, e.g., Gstreamer, ffmpeg, etc
Software engineering skills such as C++, C#, Java/Kotlin and/or Python as well as understanding of multithreading programming and real time system development
Strong in data-driven analytics
Highly motivated to conduct quality work, independent in thinking and able to actively communicate with team members
Excellent communication skills in writing and verbal communication

Job Responsibility

Understand the current status of cellar network, including deployment and communication performance
Algorithm design to address QoE degradation as hinted by cellular communication performance issues, including latency reduction, service continuity, service smoothness and if necessary minimum QoE sacrifice
Vehicle and Cloud/Edge end-to-end system design in support of the design algorithms to ensure QoE
Implement and test an end-to-end system in GM test vehicles, demonstrating efficacy of the system design and algorithmic contribution
Actively document and potentially further improve ideas generated while working on the system
Extensively evaluate system performance using a data-driven approach with good test scenario coverage
Work closely with researchers and professors on interpreting experiment results, identify system improvement opportunities
Practice forward-thinking, be comprehensive in system and algorithmic design, foresee research challenges and proactively identify solutions

Fulltime