Solution Architect, Financial Services
At a glance
Highlights
- Remote-friendly across multiple European locations
- Focus on AI acceleration for financial services
- Collaboration with product, engineering, and research teams
Why this role might suit you
A candidate with deep AI and GPU acceleration expertise, especially in financial workloads, will thrive by shaping cutting‑edge solutions for top financial institutions while collaborating across product, engineering, and research teams.
Skills
About the role
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 8 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.
Questions about this role
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