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Nvidia Senior AI Developer Technology Engineer Financial Sector 
United States, Texas 
395637100

24.06.2024

What you will be doing:

  • In this position, you will research and develop techniques to GPU-accelerate high-performance workloads in the finance domain - primarily focusing on Deep Learning, Machine Learning and DataAnalytics applications.

  • Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC workloads to ensure the best possible performance on modern CPU and GPU architectures.

  • 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.

What we must see:

  • An advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).

  • You have 5+ years of relevant work or research experience.

  • Direct experience improving the performance of large computational applications used by financialinstitutions.

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

  • Hands-on experience with low-level parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, TBB, etc.

  • In-depth expertise with CPU/GPU architecture fundamentals.

  • Goodcommunication andorganization skills, with a logical approach to problem solving, and prioritization skills.


Ways to stand out from the crowd:

  • A Master’s or PhD in a relevant field is highly valued.

  • Technical leadership skills,e.g.,managing small engineering teamsvery helpful.

  • Experiencewithparallelizing andoptimizing machinelearning algorithms like decision trees, time series, and Monte Carlo simulations.

  • Deep knowledge of financial data models, pricing/risk simulation algorithms, portfolio optimization, or other financial specific applications/ services.

  • Excellent understanding of linear algebra.

  • Have developed ML/DL techniques in the finance space, such as stock market prediction, fraud detection, portfoliooptimization/selection.

You will also be eligible for equity and .