Senior AI Developer Technology Engineer, Financial Sector

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 152,000 - 287,500; Full time

Job summary

NVIDIA Gruppe is seeking a Senior AI Developer Technology Engineer for the Financial Sector to design and optimize parallel algorithms for high-performance AI workloads. The role involves researching GPU acceleration techniques for AI and HPC workloads, collaborating with experts, and influencing hardware and software models.

Ideal candidates have an advanced degree in Computer Science, 5+ years of experience, and a strong foundation in C/C++. Compensation ranges from $152,000 to $287,500 based on level, along with equity and benefits.

Qualifications

• 5+ years of relevant work or research experience.
• Direct experience improving performance of computational applications in finance.
• In-depth expertise with CPU/GPU architecture fundamentals.

Responsibilities

• Research and develop techniques to GPU-accelerate AI and HPC workloads.
• Collaborate with technical experts to analyze and optimize complex workloads.
• Publish and present optimization techniques via blogs and conferences.

Skills

GPU-accelerated AI techniques

HPC workload optimization

C/C++ programming

Low-level parallel programming

Understanding of linear algebra

Education

Advanced degree in Computer Science or related field

Tools

CUDA

OpenACC

OpenMP

MPI

Job description

Overview

We’re currently seeking a Senior AI Developer Technology Engineer for the Financial Sector. The role focuses on designing and optimizing parallel algorithms for high-performance AI workloads in finance, leveraging cutting‑edge GPU and CPU architectures.

Responsibilities

• Research and develop techniques to GPU-accelerate AI and HPC workloads at the intersection of AI and financial markets.
• Collaborate with technical experts (industry and academia) to analyze and optimize complex AI and HPC workloads for modern CPU and GPU architectures.
• Publish and present optimization techniques via developer blogs and conferences to educate the developer community.
• Influence next‑generation hardware architectures, software, and programming models in collaboration with NVIDIA research, hardware, and software teams.

Qualifications

• Advanced degree in Computer Science, Computer Engineering, or related field (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 deep understanding of algorithms and software design.
• Hands‑on experience with low‑level parallel programming (CUDA, OpenACC, OpenMP, MPI, pthreads, TBB, etc.).
• In‑depth expertise with CPU/GPU architecture fundamentals.
• Good communication and organization skills, logical approach to problem solving, and prioritization skills.

Desired (Optional) Qualifications

• Master’s or PhD in a relevant field.
• Experience in capital markets, systematic/algorithmic strategies, quantitative trading.
• Experience parallelizing and optimizing machine learning algorithms such as decision trees, time series, Monte Carlo simulations.
• Deep knowledge of financial data models, pricing/risk simulation algorithms, portfolio optimization.
• Experience developing ML/DL techniques in finance (stock market prediction, fraud detection, portfolio optimization/selection).

Benefits & Compensation

Base salary ranges: Level3 – $152,000–$241,500; Level4 – $184,000–$287,500. Additionally, eligibility for equity and benefits.

EEO Statement

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.