Solutions Architect, Financial Services - Data Center and Infrastructure

Job Title: Solutions Architect, Financial Services - Data Center and Infrastructure

Job Summary: We are seeking an experienced Solutions Architect to join our team in Reading. As a Solutions Architect, you will be responsible for designing and deploying cutting-edge compute platforms for our financial services clients. You will work closely with customers, partners, and internal teams to deliver high-performance, scalable, and efficient data center architectures.

Key Responsibilities:

• Work directly with trading firms and banks to leverage NVIDIA's advanced technologies for financial workloads.
• Implement sustainable data center architectures that optimize energy efficiency and reduce environmental impact.
• Serve as a technical specialist for GPU and networking products, collaborating closely with account managers to secure design wins.
• Work closely with product management, engineering, and sales teams to develop and deliver comprehensive AI and accelerated computing solutions.
• Dynamically engage with developers, industry researchers, data scientists, and IT managers to solve a range of technical challenges.
• Lead technical project aspects of complex data center deployments, including the review and validation of Reference Architectures (RA) for large-scale financial infrastructure.

Requirements:

• BS, MS, or PhD degree in Machine Learning, Computer Science, or a related technical field.
• Proven experience working within Financial Services firms.
• Minimum of 8 years of experience in AI and accelerated technologies.
• Proven experience driving the technical pre-sales process and engaging with customer engineers and architects.
• Proven experience with large-scale systems management and infrastructure automation.
• Experience with NVIDIA GPUs and related software stacks, such as cuDNN and NCCL.
• Strong knowledge of AI and data center technologies, including proficiency in Operating Systems and Linux kernel drivers.
• Solid written and oral communication skills with familiarity in collaborative environments.

Nice to Have:

• Proficiency in cloud platforms (AWS, Azure, Google Cloud) and hybrid cloud solutions.
• Knowledge of software-defined infrastructure, Kubernetes, and MLOps technologies.
• Experience with liquid cooling technologies and practices.
• Hands-on experience with InfiniBand, NVIDIA Networking technologies (DPU, RoCE), and ARM CPU solutions.
• Experience with Python or C/C++ programming and AI workflow development (training/inference).