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Assist R&D in expanding collaboration networks, engaging with partners, conducting research on emerging technologies, and supporting project management activities.
Job Title: Intern - R&D Programs (Summer 2026)
Office Location: San Jose, CA
Work Model: Onsite
Duration: May 2026 - July 2026
Work Model: Onsite
Duration: May 2026 - July 2026
At SK hynix America, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape.
We're looking for innovative minds to join our mission of shaping the future of technology. At SK hynix America, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change – we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing.
Position Summary:
- Project Assignment
- Networking map (companies/organizations, industries, contacts)
- Research project (duration of internship)
- Program management/partner meetings
- Engage with external partners for collaboration discovery
Responsibilities:
- Support the R&D team in achieving greater goals of broadening our network for collaboration (pathfinding & strategy)
- Gain an understanding of the emerging technology ecosystem in order to achieve above goal
- Collaborate and engage with different team members in crafting strategy to develop cohesive outcome
- Research given topic on emerging technology
Qualifications:
- Min. Undergraduate (Sr) in CS/EE or MBA student in the areas of computer science, artificial intelligence or related technology
- Interest in new and emerging technologies for the AI era; system level efficiencies for data center solutions and the edge
- Good listener, story teller, with strong communication skills (verbal & written)
- Goal oriented, results-driven individual
- Tackles challenges head on; enjoys the learning process
- Good sense of humor
Housing Allowance:
Eligible interns will receive a housing allowance during their internship.
Equal Employment Opportunity:
SKHYA is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type without regard to race, sex, pregnancy, sexual orientation, religion, age, gender identity, national origin, color, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.
SKHYA is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type without regard to race, sex, pregnancy, sexual orientation, religion, age, gender identity, national origin, color, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.
Compensation:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. Pay within the provided range varies by work location and may also depend on job-related skills and experience. Your Recruiter can share more about the specific salary range for the job location during the hiring process.
Pay Range
$26—$50 USD
Top Skills
Artificial Intelligence
Computer Science
Electrical Engineering
Machine Learning
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