DL Computing 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 configurationsCreate and maintain workloads 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:4+ years working experience on relevant industy.Strong software skills with C/C++, Python, MPI, OpenMP etc.Experience of DL workload and operator optimization and performance analysis will be a plus.Familiarity with GPU computing and parallel programming models will be a plus.Excellent oral and written communication skills.Good organizational, time management and task prioritization skills.