NVIDIA is leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC , VISUAL, GAMING. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to design the architecture of AI computing platform, analysis the AI and HPC applications to deliver our value to customers. You will work closely with industry sales, developer relationship managers and product teams in the hiring position.
What You’ll Be Doing:
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/new business in those accounts.
Deliver technical projects, demos and client support tasks as directed by the Solution Architecture leadership team.
Understand and analyze financial customers' workloads and demands for accelerated computing, including but not limited to: quant algorithms, portfolio optimization solving, trading algorithms, LLM training/inference acceleration and optimization, application optimization for Agent AI/RAG, kernel analysis, etc.
Assist Top financial customers in onboarding NVIDIA's software and hardware products and solutions, including but not limited to: CUDA, CUDA-X, and our libraries etc.
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.
What We Need To See:
3+ years’ experience with research/development/application of Machine Learning, data analytics, or HPC work flows.
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 financial field.
Familiarity with financial technology stacks and common quant workflow optimization methods. 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.
Ways To Stand Out From The Crowd:
Be familiar with algorithm trading pipeline, including data processing, prediction, portfolio optimization, and execution.
LLM/Agent/Harness experience in financial field experience
Engineering experience in areas such as model acceleration and kernel optimization.
Extensive experience in designing and deploying large scale HPC and enterprise computing systems.
Skills Required
- 3+ years of experience researching, developing, or applying 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 AI and large-model application trends in financial services
- Familiarity with financial technology stacks and quant workflow optimization methods
- C, C++, or Python programming experience
- Experience with scale-out cloud or HPC architectures for parallel programming
- MS or PhD in Engineering, Mathematics, Physics, Computer Science, Data Science, Neuroscience, Experimental Psychology, or equivalent experience
- Experience with algorithmic trading pipelines, including data processing, prediction, portfolio optimization, and execution
- Experience with LLMs, agents, or harnesses in financial services
- Engineering experience in model acceleration or kernel optimization
- Experience designing and deploying large-scale HPC and enterprise computing systems
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.
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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.
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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.
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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
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.”
