Senior Research Scientist, System Software and I/O Architecture

Nvidia

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Quick summary

Work type: On-site
Location: Santa Clara, CAChampaign, ILSeattle, WA
Salary: $192,000–$304,750 / yr
Employment: Full-time
Posted: 5 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $206k

This role $248k

$152k $321k

below market most similar roles pay here above market

This role pays more than 86% of similar roles. Most pay $177,250–$235,750 — the blue band above. At the midpoint, this role pays about $248k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

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 1792 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1179 roles with salary data.

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At a glance

TL;DR · Senior Research Scientist, System Software and I/O Architecture

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The Senior Research Scientist, System Software and I/O Architecture will join a team focused on developing fast, scalable storage accesses for GPU threads. The role involves developing novel architectures and system software implementations to enable scalable multi-GPU platforms while analyzing the interplay between operating systems, CPU and GPU architectures, and efficient algorithm designs. Key responsibilities include collaborating across software research, hardware engineering, and product groups to publish original research and present at conferences. Candidates must demonstrate expertise in computer architecture, operating systems, compilers, and HPC. Required technical skills include proficiency in C, C++, CUDA, Python, and scripting languages, along with experience in MPI and NACL. The work addresses the technical challenge of co-optimizing architecture, runtime systems, and compilers to achieve high throughput and energy efficiency in a post-Moore world.

What does a Research Scientist earn in California?

Median $216250 from 35 postings across 10 companies.

See salary data

Skills

CUDA C++ C Python GPU Architecture Operating Systems Compilers HPC MPI NACL System Software Computer Architecture System Performance Analysis Scripting Languages Graph Analytics Data Frames

What you'll do

Develop novel architectures and system software implementations for scalable multi-GPU platforms.
Analyze the interplay between operating systems, CPU/GPU architectures, and efficient algorithm designs.
Co-optimize architecture, runtime systems, operating systems, and compilers for high throughput and energy efficiency.
Profile and analyze system performance using specialized performance analysis tools.
Program large-scale clusters using C, C++, CUDA, and Python.
Publish original research and present findings at industry conferences and events.
Develop software infrastructure for experimental computer architecture research and evaluation.

What we're looking for

Ph.D. in Computer Engineering, Computer Science, Electrical Engineering, or equivalent experience.
5+ years of research work experience in computer architecture, operating systems, system administration, compilers, and/or HPC.
Demonstrated expertise in one specific area of computer architecture, operating systems, system administration, compilers, or HPC.
Experience with C, C++, CUDA, Python, and scripting languages.
Experience with experimental computer architecture research, software infrastructure development, and evaluation.
Track record of well-documented open-source software release.
Experience with MPI and NACL (preferred).
Strong publication, patent, presentation, and research collaboration history (preferred).

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