Intern, Architecture Research Engineer at Samsung Austin Semiconductor

San Jose, California, United States

Samsung Austin Semiconductor Logo
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
Semiconductor, Artificial IntelligenceIndustries

Requirements

  • 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)
  • Experience in developing simulators for high-performance computing systems
  • Understanding of system level characteristics of LLM, DLRM, 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
  • Inclusive, adapting style to situations and diverse global norms
  • Avid learner, approaching challenges with curiosity and resilience, seeking data to build understanding
  • Collaborative, building relationships, humbly offering support, and openly welcoming approaches
  • Innovative and creative, proactively exploring new ideas

Responsibilities

  • 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

Skills

Key technologies and capabilities for this role

MicroarchitectureAI AcceleratorsDesign Space ExplorationHardware Software Co-designAI/ML WorkloadsMemory SystemsComputingInterconnect

Questions & Answers

Common questions about this position

Is this internship remote or onsite?

The role requires daily onsite presence at the San Jose, CA headquarters in alignment with the Flexible Work policy.

What skills will I learn in this internship?

You'll learn microarchitecture of AI accelerators and design space exploration of AI accelerators as part of the H/W, S/W co-design of AI accelerators project.

What are the main responsibilities of this role?

Responsibilities include researching novel techniques in collective communications for deep learning, design space exploration and pruning, designing algorithms and microarchitectural features for data locality, working with the compiler team, contributing to research and papers, and staying current with ML architecture trends.

What is the company culture like?

The company emphasizes an inclusive culture, diverse workforce, and empowering people to be their true selves, with a dedicated and passionate team collaborating closely on innovative AI/ML projects.

What makes a strong candidate for this internship?

Strong candidates will have interest or background in AI/ML computer architecture, research skills for novel techniques and design exploration, ability to design algorithms and microarchitectural features, and experience or willingness to collaborate with compiler teams and contribute to research papers.

Samsung Austin Semiconductor

Develops advanced semiconductor technology solutions

About Samsung Austin Semiconductor

Samsung Semiconductor specializes in cutting-edge semiconductor technologies, offering ultra-high resolution sensors, ultra-fine pixel technology, gaming storage, automotive memory solutions, AI advancements, and EUV advanced processing, providing transformative solutions for device manufacturers.

Laxmi Sagar Layout, Mahadevapura, Bengaluru, Karnataka 560048, IndiaHeadquarters
N/AYear Founded
VENTURE_UNKNOWNCompany Stage
Hardware, Consumer SoftwareIndustries
5,001-10,000Employees

Land your dream remote job 3x faster with AI