Manager, Solutions Architecture - Financial Services Capital Markets

NVIDIA is a leader in technology and is seeking a strong Financial Services Solutions Architecture leader to help shape the future of the finance industry. This role involves leading a team and driving initiatives related to NVIDIA's products and solutions in the Capital Markets sector.

Responsibilities:

• Recruit and Mentor architects personally and professionally, aligning with Industry and Company goals
• Work across teams to drive Financial Services Industry strategy
• Industry leadership and vision integrating NVIDIA full-stack to support financial services use cases and sub-verticals
• Provided technical leadership on all NVIDIA products pertinent to the industry, directly supporting Industry Business Development and Sales to achieve design wins and execute industry strategy

Requirements:

• Hold an M.Sc. or Ph.D. in computer science, data science, electrical engineering, or computer engineering from a leading university (or equivalent experience)
• 4+ years of proven strong technical leadership in team development, managing KO's, communication excellence, problem-solving, sharing direction with critical thinking, and fostering team collaboration
• 8+ overall years of experience in one or more diverse areas such as systems architecture (Clusters, Kubernetes, Slurm, Spark, Storage, Networking, DGX platform, DGX Cloud, AWS, GCP, ODI, Azure), development (C/C++, Python, Jupyter Labs), model training (Pytorch, Jax, Tensorflow, XGBoost, Transformers, GenAI, back-testing), or Graph Neural Networks
• Experience or working insights in NVIDIA software pipelines (data curation, training, validation, production) and GPU products and software such as NeMO Foundation, HPC-SDK, Triton, NVIDIA AI Enterprise, NVIDIA GPU Cloud)
• Excellent presentation skills with the ability to explain sophisticated ideas
• Experience in cross-collaboration, driving technical excellence, and growing leaders within the team, executive alignment, and vision to think out the box solutions
• Good to have experience working with the Financial Services industry, either within or supporting industry customers/partners
• People Management and leadership experience
• GPU Development in HPC and/or AI applied to Finance use cases
• In-depth software development life cycle, data science or data engineering expertise
• Stellar communication skills
• Familiarity in statistical analysis in Finance (Binomial Trees, Linear/Non-Linear, Linear Regression), model or algorithm development (back-testing, GenAI, Transformers)