Senior Performance Software Engineer, Deep Learning Libraries
Content + Source + Freshness • 13 Dec 2025 • 95% confidence
Offer value
Strong offer value due to the advanced role in software engineering, critical to deep learning libraries, and stellar employer reputation.
- Competitive salary in the realm of AI and deep learning.
- Impactful role in optimizing performance for core AI libraries.
- Opportunity for advancement in a prestigious tech firm.
- Prior experience in C++ and deep learning frameworks required.
Pros
- Engagement in high-impact projects that require deep technology knowledge.
- Competitive salary range reflects the importance of optimizing deep learning operations.
- Career growth opportunities through involvement in innovative AI technologies.
Cons
- Requires significant experience, which may deter less experienced candidates.
- High responsibilities could lead to stress in fast-paced environments.
- Specific technical expertise may limit the applicant pool.
Who it's for
Senior • On-site
Good fit
- Experienced software engineers with a focus on performance optimization.
- Candidates excited about AI and deep learning technologies.
- Professionals looking to make high-impact contributions in a leading tech company.
Not recommended for
- Entry-level professionals or those underqualified in deep learning.
- Individuals preferring non-technical roles.
- Candidates unwilling to adapt to a high-tempo working environment.
Motivation fit
Key skills
About the job
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, cuBLAS, and TensorRTlibraries 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 showcasing performant matrix multiply on NVIDIA’s Tensor Cores 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.
You will also be eligible for equity and 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
