CUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, switches and the operating system.
What you'll be doing:
As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best Compute platform in the world. You will craft elegant solutions to exciting problems and craft the future direction of CUDA as you collaborate with your peers across NVIDIA.
You will evangelize, architect, and implement new CUDA features
You'll oversee and drive development efforts across multiple teams
Collaborate with members of hardware architecture teams
Help define forward-looking improvements to the CUDA APIs and programming model
Design and maintain performance and precision modeling
Write effective, maintainable, and well-tested code
Develop code for multiple operating systems
What we need to see:
Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)
8+ years of relevant systems software development experience
Strong C programming skills
Experience designing, debugging, and maintaining complex software stacks
Background with operating system interfaces for threads, process control, and virtual memory
Experience with HW/SW co-design, perf. modeling usingemulation/simulation,creating SW programming model exposures for HW features
Expert interpersonal, verbal, and written communications skills with a capability to achieve objectives under tight deadlines
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:
You have an understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
Designing and implementing drivers programming rich HW acceleration engines and software verification testplans.
Knowledge of CPU, GPU architectures, memory coherence and consistency models
Some background with kernel mode development
Some familiarity with C++
You will also be eligible for equity and .
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