We're seeking a Senior AI Developer Technology Engineer to help shape the future of financial AI and data analytics by designing and optimizing parallel algorithms on cutting-edge computing platforms. You will research and develop techniques to GPU-accelerate high-performance workloads at the intersection of AI and financial markets. You will work directly with other technical experts in their fields 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. You will publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community. You will 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.
Responsibilities:
- Research and develop techniques to GPU-accelerate high-performance workloads at the intersection of AI and financial markets.
- Work directly with other technical experts in their fields 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.
Requirements:
- An advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).
- 5+ years of relevant work or research experience.
- Direct experience improving the performance of large computational applications used by financial institutions.
- Excellent understanding of linear algebra.
- 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.
- Good communication and organization 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.
- Prior work experience in capital markets with exposure to systematic/algorithmic strategies and quantitative trading.
- Experience with parallelizing and optimizing machine learning 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.
- Have developed ML/DL techniques in the finance space, such as stock market prediction, fraud detection, portfolio optimization/selection.
You will also be eligible for equity and benefits.
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