Intern, Architecture Research Engineer

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Advancing the World’s Technology Together

Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.

We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.

What You’ll Learn

• Project Overview: H/W, S/W co-design of AI accelerators
• Skills You’ll Learn:
• Microarchitecture of AI accelerators
• Design space exploration of AI accelerators

What You’ll Do

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

Location: Daily onsite presence at our San Jose, CA headquarters in alignment with our Flexible Work policy

Reports to: Senior Director, AI/ML Computer Architecture

• Research novel techniques in collective communications for high-performance deep learning applications.
• Research design space exploration methodology and pruning for efficient architecture exploration.
• Design algorithms and microarchitectural features to optimize data locality to minimize energy consumption.
• Work closely with the compiler team to integrate new ML techniques and algorithms into the compiler.
• Contribute to ML compiler and architecture research and write research papers.
• Stay up-to-date with the latest trends and advancements in the field of ML architectures.
• Complete other responsibilities as assigned.

What You Bring

• Pursuing Masters, or PhD in Computer Science or Electrical Engineering preferred.
• Research experience with hardware architectures such as CPUs, GPUs, TPUs, and NPUs.
• Published papers in Microarchitecture and Systems conferences preferred.
• Experiences in developing simulators for high-performance computing systems
• Understanding of system level characteristics of LLM, DLRM and CNN and other ML workloads.
• Familiarity with PyTorch, Tensorflow, or JAX.
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-AD1

What We Offer

The pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on a number of factors—including the role’s function and location, as well as the individual’s knowledge, skills, experience, education, and training.

This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.

Relocation Support Live 50+ miles away from your new office? No worries! We'll provide a stipend to help support your move.

Housing Stipend Signing a lease on a new place for your summer internship? We'll help you pay your way with a monthly stipend.

Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.

Prioritize Emotional Wellness With on-demand apps and paid therapy sessions, you’ll have support no matter where you are.

Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.

Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.

Hourly Base Pay Rate

$28 - $62 USD

Equal Opportunity Employment Policy

Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.

When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.

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