Deep Learning 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 configurations

• Create 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.

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