Manager, Solutions Architecture - Financial Services Capital Markets

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. Provide industry leadership and vision integrating NVIDIA full‑stack to support financial services use cases and sub‑verticals. Provide 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). 4+ years of proven strong technical leadership in team development, managing key objectives, 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 outside‑the‑box solutions. Good to have experience working with the Financial Services 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 with statistical analysis in finance (binomial trees, linear/non‑linear, linear regression), model or algorithm development (back‑testing, GenAI, Transformers). NVIDIA offers highly competitive salaries and a comprehensive benefits package. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD – 356,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 10, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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. #J-18808-Ljbffr NVIDIA