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Data Processing Developer Intern
NVIDIAData Processing Developer Technology Intern at NVIDIA focused on GPU acceleration techniques for AI workloads. Collaborating with technical experts in optimizing AI and HPC algorithms both for publications and internal advancements.
About the role
Key responsibilities & impact- Research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains
- Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure optimal AI solutions on modern CPU and GPU architectures
- Publish and/or present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community
- Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA
Requirements
What you’ll need- Currently pursuing a PhD or Master degree in Computer Science, Computer Engineering, or related computationally focused science degree
- Programming fluency in C/C++ with a deep understanding of algorithms and software development
- A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.
- Effective communication and organization skills, with a logical approach to problem solving, good time management, and prioritization skills
Benefits
Comp & perks- NVIDIA is committed to fostering a diverse work environment
- Equal opportunity employer
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
CC++algorithmssoftware developmentparallel programmingCUDAOpenACCOpenMPMPIpthreads
Soft Skills
effective communicationorganization skillsproblem solvingtime managementprioritization skills
Certifications
PhDMaster degree