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Senior Deep Learning Performance Architect
| Company | NVIDIA |
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| Location | Santa Clara, CA, USA |
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| Salary | $148000 – $287500 |
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| Type | Full-Time |
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| Degrees | Master’s, PhD |
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| Experience Level | Senior |
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Requirements
- Master’s or PhD in Computer Science, Electrical Engineering or Computer Engineering, or equivalent experience
- 4+ years of relevant work or research experience
- A strong foundation in machine learning and deep learning fundamentals
- A strong background in high performance power efficient designs, energy efficient high performance computing, performance analysis and profiling
- Fluency in programming languages such as Python, C, C++
- Experience and familiarity with GPU computing and parallel programming models
- Firsthand work experience with analytical performance modeling, profiling, and analysis
Responsibilities
- Craft high performance energy efficient system and processor architectures to extend the state of the art in deep learning
- Prototype key deep learning and data analytics algorithms and applications
- Analyze trade-offs in performance, cost and power developing analytical models, simulators and test suites
- Analyze architecture performance and/or energy efficiency considering deep learning workloads, modeling and prototyping
- Collaborate across the company to guide the direction of machine learning, working with software, research and product teams
Preferred Qualifications
No preferred qualifications provided.
