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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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