# Solutions Architect - Financial Service

**Company**: NVIDIA
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Beijing/Solutions-Architect---Financial-Service_JR2019761-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7b2e9db3-3d5

## Description

As a Solutions Architect at NVIDIA, you will focus on bringing new technology into the financial services industry. You will work closely with industry sales, developer relationship managers, and product teams to design the architecture of AI computing platforms and analyse AI and HPC applications to deliver value to customers.

**Key Responsibilities:**

- Conduct in-depth analysis of customers' latest needs and co-develop accelerated computing solutions with key customers.

- Assist in supporting industry accounts and driving research, influencing, and new business in those accounts.

- Deliver technical projects, demos, and client support tasks as directed by the Solution Architecture leadership team.

- Understand and analyse financial customers' workloads and demands for accelerated computing, including quant algorithms, portfolio optimisation solving, trading algorithms, LLM training/inference acceleration and optimisation, and application optimisation for Agent AI/RAG.

- Assist top financial customers in onboarding NVIDIA's software and hardware products and solutions, including CUDA, CUDA-X, and libraries.

- Be an industry thought leader on integrating NVIDIA technology into applications built on Deep Learning, High Performance Data Analytics, Agentic AI, and other key applications.

- Be an internal champion for Data Analytics, Machine Learning, and Deep Learning among the NVIDIA technical community.

**Requirements:**

- 3+ years of experience with research, development, or application of Machine Learning, data analytics, or HPC workflows.

- Outstanding verbal and written communication skills.

- Ability to work independently with minimal day-to-day direction.

- Knowledge of industry application hotspots and trends in AI and large models for the financial field.

- Familiarity with financial technology stacks and common quant workflow optimisation methods, including C/C++/Python programming experience.

- Desire to be involved in multiple diverse and innovative projects.

- Experience using scale-out cloud and/or HPC architectures for parallel programming.

- MS or PhD in Engineering, Mathematics, Physics, Computer Science, Data Science, Neuroscience, Experimental Psychology, or equivalent experience.

**Preferred Qualifications:**

- Experience with AIGC/LLM/NLP in the financial field.

- CUDA optimisation experience.

- Experience with Deep Learning frameworks and tools.

- Engineering experience in areas such as model acceleration and kernel optimisation.

- Extensive experience designing and deploying large-scale HPC and enterprise computing systems.

## Skills

### Required
- Machine Learning
- Data Analytics
- HPC
- CUDA
- C/C++
- Python
- Deep Learning
- High Performance Data Analytics

### Nice to have
- AIGC
- LLM
- NLP
- CUDA optimisation
- Model acceleration
- Kernel optimisation

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Beijing/Solutions-Architect---Financial-Service_JR2019761-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)