Senior Solutions Architect, Financial Services – Banking

Solutions EngineerSolutions EngineerFull TimeRemoteTeam 10,001+Since 1993H1B SponsorCompany SiteLinkedIn

Location

New Jersey + 1 moreAll locations: New Jersey, New York

Posted

95 days ago

Salary

$224K - $356.5K / year

Postgraduate Degree12 yrs expEnglishPythonPy TorchSparkTensorflow

Job Description

• Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers. • Enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations. • Perform proof-of-concepts working side by side with clients, engineers, and other architects on in-depth analysis, profiling and optimization of machine learning/deep learning models to ensure the best performance on 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 and promote the highest levels of customer satisfaction. • Build collateral (notebooks/ blogs) applied to Finance industry use-cases such as ML/DL, recommender systems, GNN, monte-carlo simulations, Quantitative Finance, etc. by working closely with customers.

Job Requirements

  • BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience)
  • 12+ years experience as an ML/Software Engineer with a proven track record in writing code in Python, C++
  • Experience with ML/DL algorithms with frameworks such as TensorFlow, Jax, PyTorch, Spark, Dask
  • Ability to communicate ideas and share code clearly through blog posts, GitHub
  • Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales, and marketing teams)
  • Effective verbal/written communication and technical presentation skills
  • Self-starter with a passion for growth, a real enthusiasm for continuous learning, and sharing findings across the team

Benefits

  • equity
  • benefits

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