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Sign Up to ReadGraphics processing units were invented at the company in 1999. That work helped build the PC gaming market, changed computer graphics, and pushed parallel computing forward. Later, GPUs powering deep learning drove the current wave of AI, and the company is now widely known for AI computing.
The company is growing its engineering teams. This internship sits in the back-end compiler team, which produces the fastest GPU machine code for graphics APIs (OpenGL, Vulkan, DX) and compute languages and platforms (CUDA, PTX, OpenCL, Fortran, C++). The team is made up of compiler specialists who build performance and features for current and future parallel SIMT chip designs.
The internship is for a 2021 cohort.
Optional, marked as 'ways to stand out': a graduate degree in a related field.
Optional, marked as 'ways to stand out': a focus on compiler design and construction, shown by graduate coursework in those areas.
Optional, marked as 'ways to stand out': hands-on work with backend compiler design and code generation.
Optional, marked as 'a plus': experience with GPU or parallel architectures, CUDA and/or PTX, or IR compression.
Optional, marked as 'a plus': experience with register allocation or instruction scheduling, or a strong interest in them.
Hourly pay is set by role, location, year in school, degree and experience, and ranges from 20 USD to 71 USD.
Applications are accepted at least until November 2, 2026. This posting is for an existing vacancy.
The company uses AI tools in its recruiting. It is an equal opportunity employer and does not discriminate on any legally protected characteristic.
From the office
NVIDIA
Offices in Redmond, United States, United States
Also hiring in United Kingdom, Seattle, United States, Munich, Germany and 14 more places
236 of their 656 open roles are remote
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$224,000 - 356,500 / year