Senior Solutions Architect
Job Summary
To accelerate High-Performance Computing and AI workloads in the finance industry, the full-time Senior Solutions Architect will collaborate with engineering, product, and sales teams to secure design wins, perform proof-of-concepts, and drive success using NVIDIA technology while working remotely or from specific locations in the US.
Key responsibilities
- Partner with NVIDIA teams to secure design wins and enable product feature development through customer feedback
- Conduct proof-of-concepts and optimize machine learning/deep learning models in collaboration with clients and engineers
- Build collateral for Finance industry use-cases, including ML/DL applications, by engaging closely with customers
Required qualifications
- BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields
- 8+ years of experience as an ML/Software Engineer with proficiency in Python and C++
- Experience with ML/DL algorithms and frameworks such as TensorFlow, Jax, PyTorch, Spark, or Dask
- Ability to communicate effectively through blog posts and GitHub
- Experience working collaboratively across multiple organizational levels and teams
Complete Job Description
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