Job Description
Join Intel Labs as a Heterogeneous Platforms Lab Research Intern. Intel Labs is responsible for driving cutting-edge research in breakthrough technologies to fuel Intel's product pipeline. Our mission is to identify, explore, and innovate on pioneering technologies and high-risk opportunities ahead of business unit investment, demonstrating proof-of-concept prototypes while maturing nascent technologies for high-volume market deployment. This internship focuses on innovating hardware and software technologies that will transform the AI computing experience across edge/cloud systems.
In this role, your responsibilities will include:
Conduct research in emerging trends driving heterogeneous integration, die disaggregation/2.5D/3D stacking, distributed computing, chiplet design, inter-chiplet interfaces, and heterogeneous IPs.
Analyze emerging AI workloads and design compute/memory blocks.
Build hardware prototypes and proof-of-concepts with advanced packaging.
Collaborate with development teams to derive infrastructure design requirements, build, test, and automate tools.
Partner with leading thinkers in academia, industry, and government, and work closely with Intel business units.
You must possess the below minimum education requirements and minimum required qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:
Pursuing a Ph.D. degree in Computer Engineering, Electronics Engineering, Computer Science, or a STEM related field.
6+ months of work or educational experience in:
2.5D/3D stacking, chiplet-based systems.
Generative AI/Transformer models, emerging AI/workloads characterization, edge computing architectures.
Complementary Metal-Oxide Semiconductor (CMOS) chip design.
Solid software expertise in C++/Perl/Python and experience in (micro)architecture simulators and/or system software.
Preferred Qualifications:
Hands-on experience working with generative AI/transformer models
Experience in multi-die stacking, 3D integration technology, interface circuits, and lab measurements.
Expertise in VLSI design and/or accelerator-based (micro)architecture.
Strong experience in ML architecture, software pipelines, and programming models.
Expertise in emerging AI workloads characterization and workload-driven architecture.
Benefits:
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here:
https://jobs.intel.com/en/benefits
Annual Salary Range for jobs which could be performed in the US:
$63,000.00-$166,000.00Salary range dependent on a number of factors including location and experience.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
Intel is building on its unrivaled history of innovation to power the future of computing and communications. Intel's ambitions? A world that runs on Intel. Intel is doing this by helping its customers find the technologies and solutions that allow them to transform their businesses and gain market advantage. And it all starts with data. Intel is on a journey from a PC-centric company to a data-centric company. Intel's unmatched depth of experience and scope of vision allows it to dream big, to create a world where Intel powers the future of computing and communications—including powerful processors and accelerators that unlock the full potential of data. Intel continuously delivers advances in performance, power, and connectivity across a diversity of data-centric workloads, so its customers can harness the raw power of data. Intel's innovations span architecture, memory, software, and security to help develop transformative products and experiences for its customers. Collectively, Intel's 107,000 employees worldwide are enabling amazing experiences in 5G, artificial intelligence, driverless cars, and much more.
