Senior Performance Software Engineer, Deep Learning Libraries jobs in United States
info-icon
This job has closed.
company-logo

NVIDIA · 2 days ago

Senior Performance Software Engineer, Deep Learning Libraries

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

NVIDIA is a leading technology company known for its innovative contributions to artificial intelligence. They are seeking a Senior Performance Software Engineer to develop optimized code for deep learning libraries, focusing on enhancing performance for deep learning operations on NVIDIA GPUs.

AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
check
Growth Opportunities
check
H1B Sponsor Likelynote

Responsibilities

Writing highly tuned compute kernels, mostly in C++ CUDA, to perform core deep learning operations (e.g. matrix multiplies, convolutions, normalizations)
Following general software engineering best practices including support for regression testing and CI/CD flows
Collaborating with teams across NVIDIA:
CUDA compiler team on generating optimal assembly code
Deep learning training and inference performance teams on which layers require optimization
Hardware and architecture teams on the programming model for new deep learning hardware features

Qualification

C++ programmingCUDA programmingPerformance analysisParallel programmingComputer architectureDebuggingTest designNumerical methodsLinear algebra

Required

Masters or PhD degree or equivalent experience in Computer Science, Computer Engineering, Applied Math, or related field
6+ years of relevant industry experience
Demonstrated strong C++ programming and software design skills, including debugging, performance analysis, and test design
Experience with performance-oriented parallel programming, even if it's not on GPUs (e.g. with OpenMP or pthreads)
Solid understanding of computer architecture and some experience with assembly programming

Preferred

Tuning BLAS or deep learning library kernel code
CUDA/OpenCL GPU programming
Numerical methods and linear algebra
LLVM, TVM tensor expressions, or TensorFlow MLIR

Benefits

Equity
Benefits

Company

NVIDIA

twittertwittertwitter
Glassdoor4.6
company-logo
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

leader-logo
Jensen Huang
Founder and CEO
linkedin
leader-logo
Michael Kagan
Chief Technology Officer
linkedin

Recent News

Business Insider
AI has been all about GPUs. That's changing fast.
2026-01-09
Business Insider
Retail trader hero Eric Jackson says investors missed the big takeaway from Jensen Huang's CES talk
2026-01-09
Inc.com
Nvidia Is Helping This Fusion Startup Reduce Years of Work to Weeks Through a ‘Digital Twin’
2026-01-09
Company data provided by crunchbase