Senior AI Developer Technology Engineer, Financial Sector

at Nvidia

USD 152,000-287,500 per year

SENIOR

✅ Hybrid

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Algorithms @ 7 CUDA @ 4 Communication @ 6 Deep Learning @ 4 Fraud @ 4 GPU @ 6 HPC MPI @ 4 Machine Learning @ 4 Parallel Programming @ 4 Prioritization @ 6

Details

Help shape the future of financial AI and data analytics by designing and optimizing parallel algorithms on cutting-edge computing platforms. This role focuses on investigating and eliminating system bottlenecks to achieve optimal performance across computer hardware, and partnering with the Developer community at NVIDIA.

Responsibilities

Research and develop techniques to GPU-accelerate high-performance workloads at the intersection of AI and financial markets.
Work with technical experts from industry and academia to analyze and optimize complex AI and HPC workloads for modern CPU and GPU architectures.
Publish and present optimization techniques in developer blogs, conferences, and relevant workshops to engage and educate the Developer community.
Influence the design of next-generation hardware architectures, software, and programming models in collaboration with NVIDIA research, hardware, system software, libraries, and tools teams.
Investigate customer application performance, design parallel algorithms, and implement optimizations in GPU-accelerated computing environments.
Contribute application expertise that influences future hardware and software products.

Requirements

Advanced degree in Computer Science, Computer Engineering, or a related computationally focused science discipline, or equivalent experience.
At least 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, such as CUDA, OpenACC, OpenMP, MPI, pthreads, or TBB.
In-depth expertise in CPU and GPU architecture fundamentals.
Good communication, organization, problem-solving, and prioritization skills.

Preferred Qualifications

Master’s degree or PhD in a relevant field.
Experience in capital markets, including systematic or algorithmic strategies and quantitative trading.
Experience parallelizing and optimizing machine learning algorithms, including decision trees, time series, and Monte Carlo simulations.
Knowledge of financial data models, pricing and risk simulation algorithms, portfolio optimization, or other finance-specific applications and services.
Experience developing machine learning or deep learning techniques for finance, such as stock market prediction, fraud detection, and portfolio optimization or selection.

Benefits

Equity and employee benefits are provided.
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.

Applications for this job will be accepted at least until March 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.