Solutions Architect, Financial Services - Data Center and Infrastructure

NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with deep expertise in AI solutions and scalable data center infrastructure. Our innovations are powering the era of AI, and we need a technical leader to drive the design and deployment of cutting-edge compute platforms. In this role, you will be the first line of technical expertise between NVIDIA and our customers, supporting and implementing solutions that address complex deployment challenges. You will work closely with customers, partners, and internal teams to deliver high-performance, scalable, and efficient data center architectures. We are looking for someone who can maintain alignment in a fast-paced environment and build lasting relationships within the financial sector.

What You’ll Be Doing

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

What We Need To See

• BS, MS, or PhD degree in Machine Learning, Computer Science, or a related technical field.
• Financial Firm Experience: Proven experience working within Financial Services firms.

Accelerated Computing: Minimum of 8 years of experience in AI and accelerated technologies.

Pre-Sales Expertise: Proven experience driving the technical pre-sales process and engaging with customer engineers and architects.

Large-Scale Systems: Proven experience with large-scale systems management and infrastructure automation.

GPU Stack: Experience with NVIDIA GPUs and related software stacks, such as cuDNN and NCCL.

Core Infrastructure: Strong knowledge of AI and data center technologies, including proficiency in Operating Systems and Linux kernel drivers.

Communication: Solid written and oral communication skills with familiarity in collaborative environments.

Ways To Stand Out From The Crowd

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

NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.

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