Senior System and Scheduling Architect, GPU

Nvidia

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Santa Clara, CA
Salary: $152,000–$241,500 / yr
Employment: Full-time
Posted: 4 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $218k

This role $197k

$137k $293k

below market most similar roles pay here above market

This role pays less than 65% of similar roles. Most pay $196,750–$238,700 — the blue band above. At the midpoint, this role pays about $197k versus about $218k 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 1626 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1115 roles with salary data.

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At a glance

TL;DR · Senior System and Scheduling Architect, GPU

Role Posting Log in to save

The Senior System and Scheduling Architect – GPU will join the architecture team to design the next generation of GPU system interfaces. This role involves understanding how GPU sub-system modules interoperate and interact with the overall system. Key responsibilities include architecting and planning features in concert with software, hardware, and verification teams to implement the next iteration of GPUs. The architect will create functional and performance models, often in C++, and develop test plans to validate designed features while supporting post-silicon validation activities. Required skills include experience in C or C++, computer architecture, operating systems, and system architecture. Candidates may also possess knowledge of memory isolation, firmware, process scheduling, OpenGL, DX, CUDA, DL/ML, PCIe, AXI, NVLink, CXL, Perl, or Python.

Skills

C++ C CUDA Process Scheduling DL/ML PCIe NVLink CXL AXI OpenGL Python Perl Firmware Memory Isolation Computer Architecture

What you'll do

Analyze how GPU sub-system modules interoperate and interact with the overall system.
Architect and plan features for the next iteration of GPUs in coordination with software and hardware teams.
Create functional and performance models using C++.
Develop test plans to validate designed features.
Actively support post-silicon validation activities.
Design the next generation of GPU system interfaces.

What we're looking for

BS or MS in Compute Architecture, Computer Science, Electrical Engineering, or a related degree or equivalent experience.
5+ years of meaningful work experience.
Work experience coding in C or C++.
Course work or industry experience in Computer Architecture, Operating Systems, and/or system architecture.
Knowledge of memory isolation and security, firmware, process scheduling, OpenGL, DX, CUDA, DL/ML, PCIe, AXI, NVLink, and/or CXL (preferred).
Knowledge of Perl or Python (preferred).

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