Overview
Remote
On Site
USD 184,000.00 per year
Full Time
Skills
Data Analysis
Data Centers
Chemistry
Computer Vision
DSL
Storage
Art
PyTorch
Writing
Product Management
Roadmaps
Computer Science
Mathematics
Debugging
MPI
OpenMP
C++
Python
CUDA
Collaboration
Communication
Documentation
HPC
Performance Tuning
Linear Algebra
Management
Software Development
Continuous Integration
Continuous Delivery
Project Management
JIRA
Computer Graphics
Parallel Computing
Science
Deep Learning
GPU
Robotics
Artificial Intelligence
Recruiting
Promotions
SAP BASIS
Law
Job Details
We are looking for software engineers to contribute to the design and development of libraries and tools to simplify and accelerate computing for unstructured sparsity in DL and HPC. Around the world, leading commercial and academic organizations are revolutionizing AI, data analytics, and scientific and engineering simulations, using data centers powered by GPUs and high-performance linear algebra libraries. Applications of these technologies include LLMs, computer aided engineering, quantum chemistry, autonomous vehicles, computer vision, and countless others. Did you know our team develops the GPU accelerated libraries and SDKs that help make these possible?
In this role, you will work together with other developers on developing solutions that involve generalizations to sparse tensor computations, domain specific language (DSL) specifications of sparse storage formats, and on-demand code generation. Ideal candidates will not only have experience developing accelerated computing software, but also be motivated to advance the state-of-the-art in a variety of accelerated computing domains and DL frameworks like PyTorch. If this sounds exciting, we would love to meet you!
What you will be doing:
What we need to see:
Ways to stand out from the crowd:
NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing for science and engineering. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company and build our teams with the smartest people in the world! Join us at the forefront of technological advancement. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!
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.
Applications for this job will be accepted at least until August 22, 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.
In this role, you will work together with other developers on developing solutions that involve generalizations to sparse tensor computations, domain specific language (DSL) specifications of sparse storage formats, and on-demand code generation. Ideal candidates will not only have experience developing accelerated computing software, but also be motivated to advance the state-of-the-art in a variety of accelerated computing domains and DL frameworks like PyTorch. If this sounds exciting, we would love to meet you!
What you will be doing:
- Design and develop a C++-based system to simplify and accelerate computing for unstructured sparsity in DL and HPC on NVIDIA GPUs
- Enable the system in languages and frameworks that are more commonly used in DL, such as Python and PyTorch
- Evaluate and improve the performance of the system on real-life applications
- Realize opportunities to improve library quality, performance and maintainability by writing effective and well-tested code for production use
- Work closely with product management and other internal and external partners to understand feature and performance requirements and contribute to technical roadmaps
What we need to see:
- BS, MS or PhD degree in Computer Science, Applied Math, or related field (or equivalent experience)
- 6+ years of overall experience in developing, debugging and optimizing high-performance software using C++ and parallel programming; ideally for sparse linear algebra applications and using CUDA, MPI, OpenMP, or equivalent technologies
- Experience with domain-specific language design and compiler optimizations, in particular sparse compilers (MLIR or TACO)
- Excellent C++, Python, and CUDA programming skills
- Strong collaboration, communication, and documentation habits and ideally experience with working in a globally distributed organization
Ways to stand out from the crowd:
- Strong understanding of sparse computations, in particular sparsity in AI and HPC
- Good understanding of LLMs, Deep Learning methods and frameworks
- Experience with low-level GPU performance optimization
- Understanding of numerical linear algebra methods like direct and iterative solvers
- Experience with adopting and advancing, software development practices such as CI/CD systems and project management tools such as JIRA.
NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing for science and engineering. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company and build our teams with the smartest people in the world! Join us at the forefront of technological advancement. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!
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.
Applications for this job will be accepted at least until August 22, 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.