Deep Learning Performance Architect

NVIDIA is developing processor and system architectures that accelerate machine learning, automotive and high performance computing (HPC) applications. We are looking for a technical expert to lead our DL performance projections and analysis effort.  This position offers the opportunity to make a meaningful impact in a fast-moving, technology focused company.What you'll be doing:Establish DL applications and use-cases for analysis and projections.Specify hardware/software configurations and metrics to analyze performance, power, accuracy and resiliency in uniprocessor and multiprocessor configurationsDevelop tools, infrastructure and methodologies for measurements, comparisons and reports.Create and maintain worklaoads and micro-benchmark suites.Generate projections, comparisons and analysis reports for internal/external consumption.Collaborate across the company to guide the direction of next-gen deep learning HW/SW by working with architecture, software and product teams.What we need to see:MS or PhD in relevant discipline (CS, EE, CE).3+ years of experience with micro-benchmarks, profiling and architecture analysis.Strong software skills with Python, MPI, OpenMP etc.Familiarity with GPU computing and parallel programming models.Excellent oral and written communication skills.Good organizational, time management and task prioritization skills.#deeplearning