Solutions Architect - Financial Services

NVIDIA
China
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 3+ yearsEducation: mastersSkills: ["Communication","Independent work"]

Partner with financial industry customers to analyze accelerated-computing needs and co-develop solutions spanning AI/HPC workloads, quant algorithms, and LLM training/inference optimization. Deliver technical projects, demos, and client support while onboarding NVIDIA software and hardware offerings such as CUDA and CUDA-X. Act as an internal and external thought leader, championing data analytics, machine learning, and deep learning for enterprise applications.

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FursaFursa
NVIDIA
NVIDIA
2 weeks ago

Solutions Architect - Financial Services

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Last checked: 1 hour agoStatus: Live

Job Summary

Partner with financial industry customers to analyze accelerated-computing needs and co-develop solutions spanning AI/HPC workloads, quant algorithms, and LLM training/inference optimization. Deliver technical projects, demos, and client support while onboarding NVIDIA software and hardware offerings such as CUDA and CUDA-X. Act as an internal and external thought leader, championing data analytics, machine learning, and deep learning for enterprise applications.
Location: China
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Conduct in-depth analysis of customers’ latest needs and co-develop accelerated computing solutions.
  • •Support industry accounts and drive research/influencing/new business activities.
  • •Deliver technical projects, demos, and client support tasks as directed by Solution Architecture leadership.
  • •Analyze financial customers’ workloads for accelerated computing, including quant algorithms, portfolio optimization, trading algorithms, and LLM acceleration.
  • •Help top financial customers onboard NVIDIA products and solutions, including CUDA and CUDA-X.
  • •Integrate NVIDIA technology into applications using deep learning, high-performance data analytics, and agentic AI.

Key Requirements

  • •3+ years’ experience with research/development/application of Machine Learning, data analytics, or HPC work flows.
  • •Strong verbal and written communication skills.
  • •Ability to work independently with minimal day-to-day direction.
  • •Familiarity with financial technology stacks and common quant workflow optimization methods.
  • •C/C++/Python programming experience (plus experience with scale-out cloud and/or HPC architectures for parallel programming).
Experience:3+ yearsAI computingHPCFinancial servicesQuantCloud computingMachine learningDeep learning
Education:Master's
Skills:CommunicationIndependent work
Tech Stack:AIHPCCUDACUDA-XCC++PythonLLMAgent AIRAGDeep learningMachine learningData analyticsCloudParallel programmingHPC architectures

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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