Overview
On Site
USD 40.00 per hour
Full Time
Skills
Verification And Validation
Spring Framework
Employment Authorization
Test Cases
Computer Hardware
Program Management
Test Plans
Scripting
ROOT
Software Development
Manufacturing
Automated Testing
Data Analysis
Knowledge Sharing
Electrical Engineering
Software Engineering
Computer Science
Perl
Ruby
Python
Software Testing
Quality Assurance
Wireless Communication
Bluetooth
Cellular
Debugging
Wireshark
Log Analysis
PPO
Payroll
Health Care
FSA
Finance
Legal
Insurance
Job Details
Consider before submitting an application:
This position is expected to start around August or September 2025 and continue through the Fall term (ending approximately December 2025) or continuing into Winter/Spring 2026 if available and there is an opportunity to do so. We ask for a minimum of 12 weeks, full-time and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. entry level candidates seeking employment after graduation and not returning to school should apply for full-time positions, not internships.
International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year.
About the Team
Tesla is seeking a highly motivated Software QA Engineering Intern for the Wireless Systems team to help develop and validate high quality wireless technologies for existing and future Self-Driving & Optimus platform initiatives. This role involves designing and implementing test cases, troubleshooting and validation of various software bugs and features, enhancing Test automation for Wi-Fi, Bluetooth and Cellular technologies and closely working with Development, other QA, hardware and program management teams internally and externally with vendors and Tesla partners.
Responsibilities
Requirements
Compensation and Benefits
Benefits
As a full-time Tesla Intern, you will be eligible for:
This position is expected to start around August or September 2025 and continue through the Fall term (ending approximately December 2025) or continuing into Winter/Spring 2026 if available and there is an opportunity to do so. We ask for a minimum of 12 weeks, full-time and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. entry level candidates seeking employment after graduation and not returning to school should apply for full-time positions, not internships.
International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year.
About the Team
Tesla is seeking a highly motivated Software QA Engineering Intern for the Wireless Systems team to help develop and validate high quality wireless technologies for existing and future Self-Driving & Optimus platform initiatives. This role involves designing and implementing test cases, troubleshooting and validation of various software bugs and features, enhancing Test automation for Wi-Fi, Bluetooth and Cellular technologies and closely working with Development, other QA, hardware and program management teams internally and externally with vendors and Tesla partners.
Responsibilities
- Design end-to-end test plans, procedures and scripts for Wi-Fi, Bluetooth and Cellular systems
- Bring up and maintain test setups and apparatus for validation cycles
- Root-cause issues reported by internal, other Development and QA teams and customer feedback
- Provide support to Software Development and Manufacturing teams
- Enhance Test automation frameworks and data analysis tools
- Analyze telemetry data and identify fleet wide issues
- Identify areas of opportunity and implement improvements, knowledge sharing and best practices
- Drive various tasks to completion and be the connoisseur of great quality product
Requirements
- Currently pursuing a Degree in Electrical Engineering, Software Engineering, Computer Science / Engineering, or a related field
- Strong Python, Perl, or Ruby programming skills, familiarity with common python packages
- Knowledge and/or work experience in wireless connectivity domain
- Knowledge and/or work experience with software testing life cycle and QA processes
- Good understanding of Wireless technologies, preferably Wi-Fi, Bluetooth or Cellular
- Working experience with Wi-Fi, Bluetooth or Cellular troubleshooting/debugging tools (i.e. Wireshark, Ellysis, Frontline, log analysis, etc.) is a plus
Compensation and Benefits
Benefits
As a full-time Tesla Intern, you will be eligible for:
- Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental (including orthodontic coverage) and vision plans. Both have an option with a $0 payroll contribution
- Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401(k), Employee Stock Purchase Plans, and other financial benefits
- Company Paid Basic Life, AD&D, and short-term disability insurance
- Employee Assistance Program
- Sick time after 90 days of employment and Paid Holidays
- Back-up childcare and parenting support resources
- Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- Commuter benefits
- Employee discounts and perks program
- Expected Compensation
$40.00 - $55.00 + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
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.