Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.
Position Summary
The Associate Test Engineer is an early-career role on the Manufacturing & Test Engineering team, supporting production test for Extreme Networks' switching, routing, wireless, and cloud appliance products. Working under the mentorship of senior test engineers, you will help develop, qualify, and sustain functional and system-level test stations, debug test failures on the production floor, and contribute to yield and quality improvements at our ODM partners. This is a hands-on role that blends hardware, software, and data — an excellent launching point for a career in test, manufacturing, or hardware engineering.
Key Responsibilities
- Support development, bring-up, and qualification of production test fixtures and test stations (ICT, FCT, SLT) under the guidance of senior test engineers.
- Write, debug, and maintain test scripts and station code in Python, LabVIEW, TestStand, or in-house frameworks.
- Participate in NPI builds (EVT/DVT/PVT) — running test routines, capturing data, and documenting issues for resolution.
- Debug failing units on the production line and in the test lab using oscilloscopes, logic analyzers, multimeters, network analyzers, and protocol-specific tools.
- Help define and maintain test coverage documentation, work instructions, and standard operating procedures (SOPs).
- Pull and analyze production test data to identify yield issues, false calls, and recurring failure modes; present findings clearly to the engineering team.
- Support fixture builds, calibration, and station deployment to global ODM sites; troubleshoot remotely and occasionally on-site.
- Assist with ECO/MCO impact assessment from a test perspective and update test programs accordingly.
- Track and close action items from 8D investigations, FA reports, and continuous improvement projects.
- Maintain a clean, safe, ESD-controlled work environment and follow all lab and production safety procedures.
Required Qualifications
- Bachelor's degree in Electrical, Computer, or related Engineering discipline (or equivalent experience).
- 0–2 years of relevant experience, including internships, co-ops, or capstone projects in test, hardware, or manufacturing.
- Working knowledge of digital and analog electronics fundamentals (signals, power, basic communication buses such as I2C/SPI/UART).
- Hands-on lab experience with oscilloscopes, multimeters, power supplies, and basic network test tools.
- Programming proficiency in at least one of: Python, C/C++, LabVIEW, or TestStand.
- Strong written and verbal communication skills; able to clearly document procedures and findings.
- Curiosity, ownership mindset, and willingness to spend time on the production floor and in the test lab.
Preferred Qualifications
- Coursework or project experience with networking protocols (Ethernet, TCP/IP, Wi-Fi).
- Exposure to ICT, flying probe, boundary scan (JTAG), or system-level test concepts.
- Familiarity with version control (Git), Linux command line, and basic data analytics (Pandas, Power BI, JMP, or Minitab).
- Awareness of Lean / Six Sigma concepts and structured problem solving (8D, 5-Why, fishbone).
- Experience with electrical CAD review, PCB bring-up, or fixture mechanical design.
- Core Competencies
- Curiosity — eager to dig into problems, ask questions, and learn how things really work.
- Ownership — follows through on commitments and takes pride in the quality of test outcomes.
- Collaboration — partners well with senior engineers, technicians, and CM counterparts.
- Communication — clear, concise, and honest about what is and isn't working.
- Bias for the floor — comfortable splitting time between desk, lab, and production line.
- Work Environment & Physical Requirements
- Hybrid office environment with regular time on the production floor and in the test lab.
- Occasional domestic and international travel (up to 10%) to CM/EMS sites for fixture deployment and debug.
Compensation: This role has a market-competitive salary with an anticipated base compensation range of $65,000-$75,000 USD. The posted range reflects the amount Extreme Networks reasonably and in good faith expects to pay for this role upon hire. This range is set using objective, gender-neutral criteria based on skills, experience, responsibility, and working conditions. Actual compensation offered will depend on the selected candidate's experience, qualifications, skills, and work location.
Benefits and Total Rewards:
Extreme Networks offers a comprehensive benefits package. Specific benefits vary by country and may include:
- Medical, dental, and vision insurance
- Flexible work schedules and work-from-home opportunities where role permits
- Paid time off, including open time off in eligible markets and statutory leave in all markets
- Paid holidays in accordance with local practice
- Retirement savings programs, including 401(k) matching in the United States
- Employee Stock Purchase Program, where eligible
- Adoption assistance and fertility treatment support, where eligible
- Flexible spending accounts, where eligible
- Employee assistance program
- Tuition reimbursement, where eligible
- Life and disability insurance
Benefits eligibility is based on country of employment, role, and employment status. Complete benefits details will be provided during the interview process and in the formal offer of employment.
Equal Employment Opportunity
Extreme Networks, Inc. is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are committed to taking affirmative action to employ and advance in employment qualified protected veterans, including disabled veterans, recently separated veterans, active-duty wartime or campaign badge veterans, and Armed Forces service medal veterans.
Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (for example, stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks. We encourage people from underrepresented groups to apply.
Fair chance and background checks
Extreme Networks will consider qualified applicants with criminal histories in a manner consistent with the California Fair Chance Act, Los Angeles Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance for Employers, Philadelphia Fair Criminal Record Screening Standards Ordinance, Illinois Human Rights Act, Cook County Human Rights Ordinance, Seattle Fair Chance Employment Ordinance, and the San Francisco Fair Chance Ordinance. An applicant's conviction history will not be considered until after a conditional offer of employment has been made. Following any individualized assessment, applicants will be provided with the opportunity to respond before any adverse action is taken.
Extreme Networks does not seek salary history information from applicants and will not rely on salary history in determining whether to offer employment or in setting compensation.
Reasonable accommodation
Extreme Networks is committed to providing reasonable accommodations to qualified applicants with disabilities throughout the application, interview, and hiring process. If you require a reasonable accommodation to participate in the application or interview process, please contact [insert contact email and phone]. All requests will be handled confidentially.
Use of artificial intelligence in hiring
Extreme Networks may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are made by humans. Applicants have the right to request human review of any automated decision affecting their candidacy and to request information about how their personal data is processed. To exercise these rights, please contact [insert contact email].
Data privacy
Personal data provided during the application process will be processed in accordance with Extreme Networks' Candidate Privacy Notice, which is available at https://www.extremenetworks.com/about-extreme-networks/company/legal/privacy-and-cookies-policy. For applicants in the European Economic Area, United Kingdom, and other jurisdictions with comparable data protection laws, the Candidate Privacy Notice describes your rights regarding your personal data.
About Extreme Networks
Extreme Networks, Inc. (NASDAQ: EXTR) creates effortless networking experiences that enable people and organizations to advance. We push the boundaries of technology by leveraging machine learning, artificial intelligence, analytics, and automation.
Learn more at www.extremenetworks.com, or follow us on LinkedIn, X, and Facebook.
Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
