Nvidia Senior AI Developer Technology Engineer Financial Sector 

United States, Texas 

395637100

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.