Solutions Architect, Financial Services Banking

NVIDIA
Virginia
Workplace: RemoteFull timeUSD 152,000 - 241,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Communication","Technical presentation","Collaboration","Self-starter","Continuous learning"]

Partner with NVIDIA engineering, product, and sales to win customer designs and enable growth of NVIDIA product features through customer feedback and proof-of-concept evaluations. Lead hands-on PoCs with clients to analyze, profile, and optimize ML/deep learning workloads for current and next-generation GPU architectures. Collaborate with client ML teams on business-impacting workflows and build Finance-focused collateral such as notebooks and blogs.

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FursaFursa
NVIDIA
NVIDIA
16 hours ago

Solutions Architect, Financial Services Banking

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Partner with NVIDIA engineering, product, and sales to win customer designs and enable growth of NVIDIA product features through customer feedback and proof-of-concept evaluations. Lead hands-on PoCs with clients to analyze, profile, and optimize ML/deep learning workloads for current and next-generation GPU architectures. Collaborate with client ML teams on business-impacting workflows and build Finance-focused collateral such as notebooks and blogs.
Location: Virginia
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 at customers and drive development through customer feedback and proof-of-concept evaluations.
  • •Run PoCs with clients to analyze, profile, and optimize machine learning/deep learning models for performance on current and next-generation GPU architectures.
  • •Work with client ML researchers and developers to address business-impacting workflows, projects, and issues using NVIDIA technology.
  • •Facilitate rapid resolution of customer issues to promote high customer satisfaction.
  • •Create Finance industry collateral such as notebooks and blogs for use cases including ML/DL, recommender systems, GNN, and Monte Carlo simulations.

Pay and Benefits

Salary: USD 152,000 - 241,500 annually
Equity and Bonus:Equity

Key Requirements

  • •BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related engineering (or equivalent experience).
  • •5+ years of experience as an ML/Software Engineer with a proven track record writing code in Python and C++.
  • •Experience with ML/DL algorithms and frameworks such as TensorFlow, Jax, PyTorch, Spark, and Dask.
  • •Ability to communicate technical ideas and share code clearly through blog posts and GitHub.
  • •Experience working effectively across engineering/research, product, sales, and marketing teams.
Experience:5+ yearsFinancial servicesBankingMachine learningArtificial intelligenceHigh-performance computingAI workloads
Education:
Skills:CommunicationTechnical presentationCollaborationSelf-starterContinuous learning
Tech Stack:PythonC++TensorFlowJaxPyTorchSparkDaskGitHubDockerContainersKubernetesGPUsMLOpsOn-premPublic cloudTransformersGraphNNsXGBoostRecommender SystemsGNN

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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