Ph.D. Research Computer Architecture and Systems Intern

Nvidia

Confirmed live yesterday High trust

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Work type: On-site
Location: Santa Clara, CA
Posted: 23 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Similar $198k

$141k most similar roles pay here $252k

This listing doesn't post a salary. Most similar roles pay $159,750–$235,750.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Ph.D. Research Computer Architecture and Systems Intern

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NVIDIA 2027 Internships: Ph.D. Research Computer Architecture and Systems is a research role focused on advancing computing, graphics, media processing, and related technologies. You will design and implement novel ideas in GPU and CPU architectures, operating systems, AI systems, and distributed systems while collaborating with internal teams and external researchers to deliver prototypes, patents, products, or published research. The role requires expertise in areas such as chip-level and system-level architecture, scalable memory systems, interconnects, power efficiency, hardware-software co-design, and high-performance networking. Candidates should possess strong communication skills and a background in research with publications at top conferences. Required technical skills include proficiency in C, C++, Python, and CUDA. The work addresses complex challenges in accelerated computing to enable new products for AI algorithms, large language model training, and specialized hardware acceleration.

Skills

CUDA C++ C Python GPU Architecture CPU Architecture Operating Systems Distributed Systems AI/ML Systems LLM Training VLSI EDA Parallel Computing High-Performance Networking Hardware-Software Co-design Memory Systems Multi-GPU Architecture

What you'll do

Design and implement novel ideas in GPU and CPU architectures.
Develop innovations in operating systems, AI systems, and distributed systems.
Advance technologies related to computing, graphics, and media processing.
Transfer research findings to product groups to enable new hardware or software products.
Produce tangible deliverables including prototypes, patents, and published original research.
Optimize GPU-accelerated workloads and high-performance networking infrastructures.
Develop systems for large-scale LLM training and inference.

What we're looking for

Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field.
Anticipated graduation date must be clearly indicated on the resume or CV.
Proficiency in programming languages and technologies including C, C++, Python, and CUDA (preferred).
Strong background in research with publications at top conferences.
Excellent communication and collaboration skills.
Research experience in areas such as GPU/CPU architecture, AI systems, distributed systems, or memory systems (preferred).
Research experience in hardware-software co-design, compilers, or high-performance networking (preferred).
Research experience in VLSI, EDA, or specialized accelerators for AI algorithms (preferred).

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