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    PhD Software Engineering Intern, Decision Intelligence - Fall 2026

    NVIDIA · Santa Clara, California, United States

    Fall 2026On-sitePaidPosted 2026-05-22
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    About the role#

    The cuOpt team is developing a GPU-accelerated platform for decision-making systems. This internship focuses on advancing decision optimization, generative AI, and parallel computing techniques to build the next generation of decision intelligence.

    What you'll do#

    • Prototype and develop parallel algorithms for decision optimization problems.
    • Perform benchmarking, performance tuning, and optimization of large-scale parallel numerical software.
    • Collaborate with team members to define software requirements and understand specific use cases.

    What you'll need#

    • Currently pursuing a PhD in Computer Science or a related field.
    • Proficiency in parallel C++ programming and familiarity with CUDA.
    • Strong foundation in algorithms and numerical methods related to operations research and optimization.
    • Knowledge of mathematical programming, such as linear, quadratic, or mixed-integer programming, or heuristics like genetic algorithms and large neighborhood search.
    • Ability to work independently and drive your own development projects.
    • Preferred: Experience with algorithmic discovery via automated agents, a track record of open-source contributions, understanding of system architecture and performance optimization, and proficiency in Python.

    Location & details#

    • Location: Santa Clara, California
    • Term: Fall 2026
    • Modality: On-site
    • Employment: Full-time, paid internship
    Relevant fields:Computer ScienceComputer Engineering

    About NVIDIA

    NVIDIA is a public computer hardware manufacturer headquartered in Santa Clara, California, that was established in 1993. The organization employs over 10,000 people and specializes in GPU-accelerated computing, artificial intelligence, and deep learning. Its operations span various sectors including gaming, robotics, automotive technology, and data-center-scale solutions.

    All NVIDIA internships

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    • About the role
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    • What you'll need
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