Senior Solutions Architect, Financial Services Banking

NVIDIA
New York, New Jersey, Santa Clara
Workplace: RemoteFull timeUSD 184,000 - 287,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsEducation: mastersSkills: ["Communication","Technical presentation","Collaboration","Customer focus","Continuous learning"]

Partner with NVIDIA Engineering, Product, and Sales to secure design wins with Financial Services customers and enable NVIDIA product feature growth through feedback and proof-of-concept evaluations. Lead POCs alongside client ML teams to analyze, profile, and optimize ML/DL workloads on current and next-generation GPU architectures. Drive customer satisfaction through rapid issue resolution and create Finance-focused collateral (notebooks/blogs) covering ML/DL, quant, recommender systems, and related techniques.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior Solutions Architect, Financial Services Banking

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Last checked: 26 minutes agoStatus: Live

Job Summary

Partner with NVIDIA Engineering, Product, and Sales to secure design wins with Financial Services customers and enable NVIDIA product feature growth through feedback and proof-of-concept evaluations. Lead POCs alongside client ML teams to analyze, profile, and optimize ML/DL workloads on current and next-generation GPU architectures. Drive customer satisfaction through rapid issue resolution and create Finance-focused collateral (notebooks/blogs) covering ML/DL, quant, recommender systems, and related techniques.
Location: New York, New Jersey, Santa Clara
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Partner with NVIDIA Engineering, Product, and Sales to secure design wins and enable product feature growth via customer feedback and proof-of-concept evaluations.
  • •Run proof-of-concepts with clients to perform analysis, profiling, and optimization of ML/DL models for current and next-generation GPU architectures.
  • •Work directly with client ML researchers and developers/engineers on business-impacting workflows, projects, and issues to drive success using NVIDIA technology.
  • •Facilitate rapid resolution of customer issues to promote high customer satisfaction.
  • •Build Finance-industry collateral (notebooks/blogs) for use cases including ML/DL, recommender systems, GNN, and monte-carlo/quantitative finance.

Pay and Benefits

Salary: USD 184,000 - 287,500 annually
Equity and Bonus:Equity

Key Requirements

  • •BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related engineering fields (or equivalent experience).
  • •8+ years experience as an ML/Software Engineer with a proven track record in writing code in Python and C++.
  • •Experience with ML/DL algorithms and frameworks such as TensorFlow, Jax, PyTorch, Spark, and Dask.
  • •Ability to communicate ideas and share code clearly through blog posts and GitHub.
  • •Strong verbal/written communication and technical presentation skills; can collaborate effectively across engineering/research, product, sales, and marketing.
Experience:8+ yearsFinancial servicesBankingMachine learningDeep learningQuantitative finance
Education:Master's
Skills:CommunicationTechnical presentationCollaborationCustomer focusContinuous learning
Tech Stack:PythonC++TensorFlowJaxPyTorchSparkDaskGitHubBlog postsNotebooksDockerKubernetesGPUsMLOpsOn-premPublic cloudMachine learningDeep learning

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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