Senior AI Developer Technology Engineer, Financial Sector

About the role

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. In this role, you will investigate, identify, and eliminate system bottlenecks to achieve optimal performance of computer hardware, partnering with the Developer community at the forefront of technology breakthroughs.

Responsibilities

• Research and develop techniques to GPU-accelerate high-performance workloads at the intersection of AI and financial markets.
• Work directly with technical experts in industry and academia to perform in-depth analysis and optimization of complex AI and HPC workloads, ensuring 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 a 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

• 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.
• Experience developing ML/DL techniques in the finance space, such as stock market prediction, fraud detection, or portfolio optimization/selection.

About the team

The Developer Technology Engineer plays a crucial role in the success of NVIDIA and our customers. DevTechs work with external technologists to investigate application performance, design parallel algorithms, and implement optimizations in a GPU-accelerated computing environment. As recognized experts, we publish findings in developer blogs or at relevant conferences and workshops. With insight into customers, industry, and academia, we represent NVIDIA as a technology leader. Within NVIDIA, we contribute valuable application expertise that influences next-generation hardware and software products. This role offers ample opportunity for growth in the exciting field of GPU-accelerated computing.

Pay

Base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.