Fall 2024 Advanced Packaging Reliability Engineering Co-op/Intern

Descrizione del lavoro:

WHAT YOU DO AT (COMPANY NAME) CHANGES EVERYTHING

We care deeply about transforming lives with (COMPANY NAME) technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the (COMPANY NAME) culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.

(COMPANY NAME) together we advance_

As a Co-op student, you can make an immediate contribution to (COMPANY NAME)'s next generation of technology innovations. We have a dynamic, high-energy work environment, filled with expert employees, and unique opportunities for developing your career. You will have the opportunity to connect with (COMPANY NAME) leaders, receive one-on-one mentorship, attend amazing networking events and much more. With (COMPANY NAME), you can get hands-on experience that will give you a competitive edge in the workforce.
Get a jumpstart on an exciting career - apply today!

Fall 2024 Advanced Packaging Reliability Engineering Co-op/Intern
 
JOB LOCATION:  Austin, Texas 
 
ONSITE: This is an onsite position - the intern/co-op is required to relocate if necessary and work full-time (40 hours) from the location office.   
 
PROGRAM TERM: Fall 2024 (August 19th / September 9th - December 13th, 2024)
 
WHAT YOU'LL BE DOING: 
* Collaborate closely with reliability engineers at (COMPANY NAME) to build a comprehensive database of failure mechanisms related to reliability tests, and root causes in advanced packaging technologies across (COMPANY NAME) products.
* Analyze extensive test data sets, extract insights, and develop metrics that best capture material/performance degradation.
* Develop machine learning models trained on the database to predict failure root causes based on a given reliability test and FT alarm codes.
* Gain hands-on experience with machine learning tools and techniques, and deepen your understanding of (COMPANY NAME) products, their design, and various field applications.
* In addition to technical skills, the intern will acquire soft skills such as collaborating with diverse engineering teams, creating technical presentations, writing technical reports, and learning typical business practices.
KEY QUALIFICATIONS: 
* Proficient in Python scripting.
* Proficient in Machine Learning libraries (such as TensorFlow, PyTorch).
* Proficiency working with databases.
* Basic knowledge of electronic components and assembly
WHO WE'RE LOOKING FOR:
* Currently enrolled in an accredited US University - graduate degree program.
* MS or PhD level student studying: Mechanical Engineering, Materials Science, or Computer Science.
* Background in Machine Learning techniques.
WHAT WOULD SET YOU APART:
* The ability to work two co-op terms back-to-back (Fall 2024 - Spring 2025) is a plus!
* Knowledge of SQL is a plus!
INTERN BENEFITS:
* Compensation Range from $48.00-$55.00 hourly - commensurate with experience.
* Healthcare, dental and vision coverage
* Paid holidays
* Internship stipend for interns working in an (COMPANY NAME) office
* Potential education assistance for required Co-op/Intern course.
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At (COMPANY NAME), your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many (COMPANY NAME) employees have the opportunity to own shares of (COMPANY NAME) stock, as well as a discount when purchasing (COMPANY NAME) stock if voluntarily participating in (COMPANY NAME)'s Employee Stock Purchase Plan. You'll also be eligible for competitive benefits described in more detail here.

(COMPANY NAME) does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. (COMPANY NAME) and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process