Solution Architect, Financial Services

Reposted 4 Days Ago
Be an Early Applicant
5 Locations
In-Office or Remote
5-5 Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Work with financial institutions to implement NVIDIA's advanced technologies. Provide technical guidance, stay updated on industry trends, and develop solutions with product teams.
Summary Generated by Built In

NVIDIA is a world leader in AI computing. Our innovations are transforming industries and powering the era of AI and accelerated computing. At NVIDIA, we believe in creating solutions that improve lives and contribute to a more sustainable future. Solutions Architects  are trusted technical advisors to our customers. We work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence! We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user 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. Engaging with developers, quants, data scientists, IT managers and senior leaders is a significant part of the Solutions Architect role.

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 12 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.

NVIDIA is one of the technology industry's most desirable employers. If you're a creative person with a genuine passion for AI in finance and accelerated computing, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We encourage diversity in candidates' profiles. If you think you have the relevant skills and experience for this job, we encourage you to apply even if you lack some of the requirements listed above.

Skills Required

  • 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

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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