- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Senior Performance Software Engineer, Deep Learning Libraries.
Urgent! Senior Performance Software Engineer, Deep Learning Libraries Job Opening In Santa Clara – Now Hiring NVIDIA
We are now looking for a Senior Performance Software Engineer for Deep Learning Libraries! Do you enjoy tuning parallel algorithms and analyzing their performance?
If so, we want to hear from you! As a deep learning library performance software engineer, you will be developing optimized code to accelerate linear algebra and deep learning operations on NVIDIA GPUs. The team delivers high-performance code to NVIDIA’s cuDNN (https://developer.nvidia.com/cudnn) , cuBLAS (https://docs.nvidia.com/cuda/cublas/index.html) , and TensorRT (https://developer.nvidia.com/tensorrt) libraries to accelerate deep learning models.
The team is proud to play an integral part in enabling the breakthroughs in domains such as image classification, speech recognition, and natural language processing.
Join the team that is building the underlying software used across the world to power the revolution in artificial intelligence! We’re always striving for peak GPU efficiency on current and future-generation GPUs. To get a sense of the code we write, check out our CUTLASS open-source project (https://github.com/NVIDIA/cutlass) showcasing performant matrix multiply on NVIDIA’s Tensor Cores (https://www.nvidia.com/en-us/data-center/tensorcore/) with CUDA.
This specific position primarily deals with code lower in the deep learning software stack, right down to the GPU HW.
What you'll be doing:
+ 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
What we need to see:
+ 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
Ways to stand out from the crowd:
+ Tuning BLAS or deep learning library kernel code
+ CUDA/OpenCL GPU programming
+ Numerical methods and linear algebra
+ LLVM, TVM tensor expressions, or TensorFlow MLIR
NVIDIA is widely considered to be one of the technology world’s most desirable employers.
We have some of the most forward-thinking and hard working people in the world working for us.
If you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .
Applications for this job will be accepted at least until October 24, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
#deeplearning
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Senior Performance Potential: Insight & Career Growth Guide
Real-time Senior Performance Jobs Trends in Santa Clara, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Performance in Santa Clara, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 188705 jobs in United States and 2271 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Senior Performance roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! NVIDIA is currently hiring and seeking a Senior Performance Software Engineer, Deep Learning Libraries to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior Performance Software Engineer, Deep Learning Libraries Jobs Santa Clara.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Performance Software Engineer, Deep Learning Libraries Jobs United States varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Performance Software Engineer, Deep Learning Libraries typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Senior Performance Software Engineer, Deep Learning Libraries, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Senior Performance Software Engineer, Deep Learning Libraries interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the NVIDIA's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Senior Performance Software Engineer, Deep Learning Libraries is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!