NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
What you will be doing:
The software architecture group at NVIDIA has openings for software architects in the field of AI and high-performance networking and system software. We research, develop, and deploy solutions in networking hardware, programming environments, and system software to make current and future high-end computer systems more performant, scalable, and usable.
Creating proofs-of-concept to evaluate and motivate extensions in AI Frameworks (PyTorch/NEMO), HPC programming models (MPI, OpenSHMEM, PGAS), new runtime designs, and new network hardware features.
Research, design and implement features for AI and HPC communication middleware (NCCL, Open MPI, UCX, UCC, NVSHMEM), and Deep Learning frameworks such as TensorFlow/Pytorch.
Review, design, and implement features to enhance compiler features to support the NVIDIA networking ecosystem.
Research, design and develop hardware features relevant to scientific, Deep learning, and data-intensive workloads.
What we need to see:
A Ph.D. or Master, in computer science, computer engineering, or a closely related field or equivalent experience.
5+ years of experience in parallel programming models, and/or network architecture.
Background in algorithm design, system programming, and computer architecture
Strong programming and software development skills
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment
Deep understanding of technology and passion for what you do
Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment
Ways to stand out from the crowd:
Background with designing communication middleware for high-performance computing systems, including InfiniBand, DPUs, Ethernet, and Shared Memory;
Experience developing and implementing features for compilers, optimizations for compilers, particularly Clang/LLVM, and NVIDIA compilers;
Experience implementing communications libraries, particularly MPI, OpenSHMEM, NCCL, NVSHMEM, UCX, UCC, or PGAS;
Background with CUDA programming and NVIDIA GPUs
Programming models for emerging architectures including hierarchical heterogeneous memory systems and accelerators.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, 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.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.Similar Jobs
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. 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, NVIDIA is increasingly known as “the AI computing company.”
