We’re currently seeking a Developer Technology Engineer, for Quantum Computing!

Would you enjoy developing techniques to accelerate quantum computing workloads on advanced computer architectures? Do you find it rewarding to investigate, find, and eliminate system bottlenecks to achieve the best possible performance on innovative computer hardware? Could you be thrilled about an opportunity to partner with the developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA? If so, the Developer Technology Team invites you to consider this role.

What you will be doing:

• In this position, you will research and develop techniques to accelerate leading applications in quantum computing by leveraging the NVIDIA platform – cuQuantum and CUDA Quantum in particular.

• Work directly with other technical experts in the quantum computing domain (industry and academia) to understand and address their computational problems as the domain evolves.

• Perform in-depth analysis and optimization to ensure the best possible performance on the current and next generation of NVIDIA GPUs, CPUs (Arm and x86 architectures), and/or network architectures.

• Craft and optimize core parallel algorithms and data structures to provide the best solutions using the NVIDIA platform.

• Guide key application developers, contribute directly to the applications, and develop reference codes and libraries.

• Publish and 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.

• Occasional travel for conferences and on-site visits with developers.

What we need to see:

• A Masters or PhD (or additional equivalent experience) in Computer Engineering, Computer Science, or a domain science with a strong focus on the related computational methods. 8+ years of meaningful work experience

• Familiarity with quantum computing concepts and techniques, including common quantum algorithms such as Quantum Fourier Transform (QFT), Quantum Phase Estimation (QPE), and Quantum Approximate Optimization Algorithm (QAOA).

• Direct experience improving the performance of quantum computing applications.

• Programming fluency in Python and C/C++ with a deep understanding of algorithms, programming techniques, and software design.

• Hands-on and current experience with parallel programming, ideally CUDA or OpenACC, as well as MPI, OpenMP.

• Strong mathematical fundamentals, including linear algebra and numerical methods.

• Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.

Ways to stand out from the crowd:

• Experience with Tensor Network approaches (exact and approximate methods).

• Understanding of Quantum Machine Learning algorithms.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is 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 and collaborating with us. Our engineering teams are quickly growing in some of the hottest and most innovative fields of technology: Quantum Computing, Deep Learning, Artificial Intelligence, Autonomous Vehicles, Supercomputing and more. If you are a creative and autonomous computer scientist with a real passion for quantum and parallel computing, we want to hear from you!

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