Senior Deep Learning Performance Architect jobs in United States
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NVIDIA · 2 days ago

Senior Deep Learning Performance Architect

positionSanta Clara, CA
timeFull-time
remoteOnsite
senioritySenior Level
money$224K/yr - $356K/yr
date6+ years exp

NVIDIA is seeking outstanding Performance Analysis Architects to help analyze and develop next-generation architectures that accelerate AI and high-performance computing applications. The role involves developing innovative architectures, prototyping deep learning algorithms, and collaborating with software and research teams to guide deep learning hardware and software direction.

AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
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Growth Opportunities
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H1B Sponsor Likelynote
Hiring Manager
Joshua Hasten
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Responsibilities

Develop innovative architectures to extend the state of the art in deep learning performance and efficiency
Prototype key deep learning algorithms and applications
Analyze performance, cost and energy trade-offs by developing analytical models, simulators and test suites
Characterize power and performance on silicon parts and translate the learnings to architecture features and simulators
Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications
Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW

Qualification

Deep Learning architecturesPerformance modelingArchitecture simulationPython programmingC programmingC++ programmingGPU ComputingParallel programmingAnalytical skillsCollaboration skills

Required

A Masters Degree (or equivalent experience) and 6+ years of meaningful relevant experience or PhD and 3+ years of experience in Computer Science, Electrical Engineering, Computer Engineering, or related field
Strong foundation in Deep Learning model architectures and performance tradeoffs
Experience with performance and energy modeling, power architecture, architecture simulation, profiling, analysis, and visualizations
Strong programming skills in Python, C, C++
Experience with the architecture of, or workload analysis on, DL accelerators

Preferred

Background with GPU Computing and parallel programming models such as CUDA
Experience with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, JAX)

Benefits

Equity
Benefits

Company

NVIDIA

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NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
dateFounded in 1993
location
Santa Clara, California, USA
people-size10001+ employees
web-link
https://www.nvidia.com

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

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Jensen Huang
Founder and CEO
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Michael Kagan
Chief Technology Officer
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Company data provided by crunchbase