Senior AI Developer Technology Engineer, Financial Sector

About the role

The Developer Technology Team invites applications for a Senior AI Developer Technology Engineer position. This role involves researching and developing techniques to GPU-accelerate high-performance workloads at the intersection of AI and financial markets.

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 (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.

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.

Qualifications

• 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.

Skills

• Advanced knowledge of GPU architecture and programming.
• Experience with financial data and algorithms.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

Benefits

Base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $152,000 - $241,500 for Level 3, and $184,000 - $287,500 for Level 4. Eligible for equity and benefits.

Pay

Base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $152,000 - $241,500 for Level 3, and $184,000 - $287,500 for Level 4.

Schedule

Not specified.

Benefits

Not specified.

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Application Instructions

Applications for this job will be accepted at least until March 13, 2026.