NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is looking for an outstanding software engineering intern with C++ and parallel programming experience to join our cuOpt engineering team! Our team is building next-generation services to transform decision making via our world-record-breaking accelerated optimization engine. We are dedicated to developing operations optimization technologies that tackle real problems. We contribute to all steps of the lifecycle: from conceptualization, to applied research, engineering, and deployment.
What you will be doing:
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Prototype and develop parallel algorithms for optimization problems including but not limited to routing, flow, scheduling, and packing.
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Performance tuning, optimization, and benchmarking of large-scale parallel numerical software on various CPU and GPU architectures.
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Collaborate with team members and understand software use cases and requirements.
What we need to see:
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Pursuing a MS or PhD degree in Computer Science, Applied Math, Engineering, or related field.
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Excellent parallel C++ programming and software design skills.
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Strong algorithms and numerical methods fundamentals in operations research and optimization.
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Ability to work independently and manage your own development effort.
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Strong collaboration, communication, and documentation habits.
Ways to stand out from the crowd:
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Experience developing optimization solvers, machine learning, or LLM.
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Understanding of hardware and system architecture, CPU/GPU/Memory/Storage, everything related to performance optimization
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A scripting language, preferably Python and experience with major clouds.
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Well versed in agile methodology.
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Experience in software shipping cycles (dev, deploy, release, CI) and open-source software dev.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
