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Rambus

Product Engineering Intern

Posted Yesterday
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Hybrid
San Jose, CA
26-47 Hourly
Internship
Hybrid
San Jose, CA
26-47 Hourly
Internship
Supports new product introduction for memory interface chips by migrating and validating ATE test data, organizing test-time data, analyzing yield and test performance, and identifying test-time reduction opportunities. Develops Python or SQL automation scripts, documents data workflows, collaborates with Product, Test, and IT engineering teams, and presents a final project. The internship is full-time for 12 weeks during Summer 2027 in San Jose with a hybrid onsite schedule.
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Overview

Rambus, a premier chip and silicon IP provider making data faster and safer, is seeking to hire an exceptional Product Engineering Intern to join our NPI Product Engineering team in San Jose, CA. In this role, you will be working with some of the brightest inventors and engineers in the world developing products that make data faster and safer.  

  

As a Summer 2027 Product Engineering Intern, you’ll play a pivotal role in supporting our New Product Introduction (NPI) engineering data automation and test time reduction efforts for Rambus memory interface chip products. In this full-time, 12-week summer role, you’ll report directly to our Senior Manager, Product Engineering. Our NPI Product Engineering team is dedicated to bridging product development and high-volume manufacturing by driving test, yield, quality, and manufacturing readiness for new products, and your contributions will be instrumental in migrating legacy ATE NPI test data into our Silicon.DA engineering data platform and enabling data-driven test time reduction.  


Rambus offers a flexible work environment, embracing a hybrid approach for most office-based roles. Employees are encouraged to spend an average of at least three days per week onsite, allowing for two days of remote work.  

Responsibilities
  • Migrate legacy ATE NPI test data into Silicon.DA, our central NPI engineering data platform, including data cleanup, formatting, and validation of completeness and accuracy. 
  • Collect and organize test time data from ATE test programs to support test time reduction activities. 
  • Analyze test time and yield data by test, insertion, and product to help identify test time reduction opportunities, and summarize findings for the engineering team. 
  • Develop scripts (e.g., Python or SQL) to automate data extraction, ingestion, and reporting. 
  • Document data structures, workflows, and procedures so the work can be sustained after the internship. 
  • Collaborate with Product, Test, and IT engineering teams, and present a final project summary at the end of the internship. 
Qualifications
  • Currently pursuing a BS or MS degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, or a related field, and returning to school after the internship. 
  • Programming experience in Python and/or SQL for data processing and analysis. 
  • Strong data analysis skills; experience with Excel, JMP, or similar data analysis tools. 
  • Basic understanding of semiconductor devices and test concepts; exposure to ATE, test data formats (e.g., STDF), or semiconductor manufacturing is a plus. 
  • Strong attention to detail, organization, and written and verbal communication skills. 
  • Ability to work independently and as part of a cross-functional team. 
  • Available to work full-time (40 hours per week) for 12 weeks during Summer 2027 in San Jose, CA. 

About Rambus 

Rambus is a global company that makes industry-leading memory interface chips and Silicon IP to advance data center connectivity and solve the bottleneck between memory and processing. With over 30 years of semiconductor experience, we are a leading provider of high-performance products and innovations that maximize the bandwidth, capacity and security for AI and other data-intensive workloads. Our world-class team is the foundation of our company, and our innovative spirit drives us to develop the cutting-edge products and technologies essential for tomorrow’s systems.  

Rambus offers a competitive compensation package including base salary, bonus, equity, matching 401(k), employee stock purchase plan, comprehensive medical and dental benefits, time-off program, and gym membership.  


The US hourly range for this full-time position is $25.80 to $47,80. Our salary ranges are determined by role, level and location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. 


At Rambus, we are committed to fostering a workplace where every individual is respected, supported, and empowered to succeed. We value a range of perspectives and experiences that contribute to innovation and collaboration. Our goal is to ensure that all team members have equitable access to opportunities, resources, and a sense of belonging. We believe that a culture of fairness and inclusion helps us all do our best work. 

 Rambus is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or other applicable legally protected characteristics.  

  

Rambus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during our job application procedures. If you require assistance or an accommodation due to a disability, please feel free to inform us in your application. 


Rambus does not accept unsolicited resumes from headhunters, recruitment agencies or fee-based recruitment services. 


For more information about Rambus, visit rambus.com. For additional information on life at Rambus and our current openings, check out rambus.com/careers/. 



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Rambus Agoura Hills, California, USA Office

Agoura Hills, United States

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