Responsibilities
* Work with financial institutions and their technology ecosystem in leveraging NVIDIA’s advanced technologies
* Provide technical guidance and support to internal teams and external stakeholders, ensuring effective ideation, research and the development of solution prototypes, followed by a successful deployment
* Work closely with product management, engineering, applied research and sales teams to develop and deliver comprehensive solutions
* Stay updated on industry trends and advancements in hardware technologies to continually improve and innovate NVIDIA’s software and data center solutions
* Your duties will vary from working on proof‑of‑concept demonstrations to driving relationships with key technical leads and developers to ensure successful adoption of NVIDIA‑based AI technology
* Engage with developers, quants, data scientists, IT managers and senior leaders as a significant part of the Solutions Architect role
Qualifications
* BS/MS/PhD degree in Machine Learning, Computer Science, or related technical field
* Minimum of 5 years of experience in AI and accelerated technologies
* Background working within Financial Services firms
* Expertise in writing code for training and/or inference for NVIDIA GPUs
* Capable of working in a constantly evolving environment without losing focus
* Self‑starter with a passion for continuous learning and sharing findings across the team
Ways to Stand Out
* Demonstrated understanding of how GPU acceleration can be applied to financial workloads
* Knowledge of software‑defined infrastructure and orchestration tools (Kubernetes, OpenStack)
* Proficiency in cloud platforms (AWS, Azure, Google Cloud) and hybrid cloud solutions
* Understanding of HPC systems: data center design, high‑speed interconnect InfiniBand, cluster storage and scheduling related design and/or management experience
EEO Statement
NVIDIA is committed to fostering a diverse work environment and is an equal‑opportunity employer. We encourage diversity in candidates’ profiles.
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