Solutions Architect Manager, Financial Services



IT, Accounting & Finance
Multiple locations
Posted on Thursday, January 25, 2024

NVIDIA has been engaged with the Financial Services Industry, improving application speed and accuracy of quantitative finance for many years. With outstanding innovation driven by incredible technology and outstanding people, NVIDIA is looking for a strong Financial Services SA leader to join us in an exciting role that will help craft the finance industry's future.

The role of this leader is to help the group pursue initiatives across several technologies related to the full-stack of NVIDIA products, solutions, libraries, and hardware. Specifically, the focus will be on Capital Markets, Banking, or Consumer Finance on industry use cases and workloads not limited to Risk, Fraud, Portfolio Optimization, Trading or using AI, High-Performance Computing, Feature Generation, and Data Engineering.

What you’ll be doing:

  • 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.

What we need to see:

  • Hold an M.Sc. or Ph.D. in computer science, data science, electrical engineering, or computer engineering from a leading university (or equivalent experience).

  • 3+ 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 industry, either within or supporting industry customers/partners.

Ways to stand out of the crowd:

  • 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)

NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the world's most forward-thinking and hardworking people working for us. If you're creative and autonomous, we want to hear from you!

The base salary range is 216,000 USD - 414,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.