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Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
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As a PhD Software Engineering Intern, Decision Intelligence - Fall 2026, you will join the cuOpt team to help build the future of decision intelligence by developing a GPU-accelerated open-source platform for decision-making systems. Your daily responsibilities include prototyping and developing parallel algorithms for decision optimization problems, performing performance tuning, optimization, and benchmarking of large-scale parallel numerical software, and collaborating with teammates to understand specific software use cases and requirements. To succeed in this role, you must possess expert skills in parallel C++ and CUDA programming, along with a deep understanding of algorithms, numerical methods, and operations research fundamentals. You will apply knowledge of linear, quadratic, and mixed-integer mathematical programming or heuristics like genetic algorithms. The work focuses on solving complex decision optimization problems through advanced parallel computing techniques and high-performance software engineering.
CUDA
OpenCL
C
C++
Python
MPI
NVSHMEM
OpenSHMEM
IPC
Benchmarking
Profiling
Linear Algebra
Numerical Methods
High Performance Computing
Machine Learning
AI