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 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.
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.
Top Skills
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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