Senior Systems Software Engineer

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.

We are looking for outstanding software engineers to join the NVIDIA Run:ai core team. The team is responsible for building the next generation of native GPU fractioning and sharing technologies within CUDA. This work includes building and designing sophisticated architectures, while collaborating with global teams across the GPU software stack. In this role you will work with multiple NVIDIA teams directly, contributing to the CUDA ecosystem technology that powers AI and ML workloads across the world.

What You'll Be Doing

• Work and design enhancements for CUDA libraries and system drivers
• Build a complex multi-threaded modular architecture of low-level components that interact with the OS and each other in distributed environments
• Effectively write maintainable and well-tested code, as well as developing code for multiple operating systems focusing on Linux
• Develop a solution that can run on bare-metal, on-prem, and cloud environments (Docker containers, Kubernetes)
• Work with other worldwide teams (software, hardware, architecture)
  
  

What We Need To See

• B.Sc, M.Sc or equivalent experience in Computer Science, Engineering, or a related field
• 5+ years of “hands on” experience developing or maintaining user space libraries and tools, especially for the Linux OS
• Proved programming skills in C and C++
• Good knowledge of operating systems concepts, with understanding of cross platform development
• Strong English written and oral communication skills to collaborate with other specialists or teams globally (worldwide).
  
  

Ways To Stand Out From The Crowd

• Collaborative team member with strong communication skills
• End-to-end execution of robust technical solutions from design to production
• Familiarity with kernel and driver development
• Hands on experience in one of: accelerated compute, CUDA development, HPC, Deep Learning & Machine Learning frameworks such as PyTorch
• Knowledge and understanding of virtualization and containerization technologies for cloud and on-prem environments
  
  

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family.

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.

JR2000028