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What you'll be doing:
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 developing 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.
What we need to see:
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 from the crowd:
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.
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