DL Computing Performance Architect

NVIDIA is seeking a technical expert to lead their DL performance projections and analysis effort. This role offers an opportunity to make a significant impact in a fast-paced, technology-focused company. The DL Computing Performance Architect will be responsible for establishing DL applications and use-cases for analysis and projections, specifying hardware/software configurations, creating and maintaining workloads and micro-benchmark suites, generating projections and analysis reports, and collaborating across the company to guide the direction of next-gen deep learning HW/SW.

Key responsibilities include:

• Establishing DL applications and use-cases for analysis and projections
• Specifying hardware/software configurations and metrics for performance analysis
• Creating and maintaining workloads and micro-benchmark suites
• Generating projections, comparisons, and analysis reports
• Collaborating with architecture, software, and product teams

Requirements:

• 4+ years of relevant industry experience
• Strong software skills with C/C++, Python, MPI, OpenMP, etc.
• Experience in DL workload and operator optimization and performance analysis (preferred)
• Familiarity with GPU computing and parallel programming models (preferred)
• Excellent oral and written communication skills
• Strong organizational, time management, and task prioritization skills

This position offers the chance to work at the forefront of deep learning and high-performance computing, contributing to NVIDIA's innovative technologies that are shaping various industries. Join NVIDIA to be part of a team that's driving advancements in AI, automotive, and HPC applications.