Senior AI Developer Technology Engineer, Financial Sector

About the role

The Developer Technology Team is seeking a Senior AI Developer Technology Engineer to join our team. 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 AI and HPC workloads.
• Strong analytical and problem-solving skills.
• Ability to communicate effectively both verbally and in writing.
• Experience with GPU programming and optimization.

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. You will also be eligible for equity and benefits.

Pay

Your 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

NVIDIA offers a flexible schedule to accommodate the needs of our employees.

Benefits

As an employee at NVIDIA, you will be eligible for a comprehensive benefits package including health insurance, retirement plans, and paid time off. NVIDIA is committed to providing a supportive and inclusive work environment where all employees can thrive.

Contact Information

If you are interested in applying for this position, please submit your resume and cover letter at [Application Instructions].