Senior Architect

NVIDIA • Durham, NC

36d

About The Position

NVIDIA is searching for experienced candidates with a track record of architecture development to join our memory system architecture team! This team drives memory system architecture in NVIDIA’s world changing SOCs for deep-learning, autonomous vehicles and robotics, mobile systems, server systems, and gaming. What You Will Be Doing: Driving development of architecture and micro-architecture to improve the state-of-the-art in memory systems optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule. Performance modeling and simulation of features to improve memory system performance and efficiency. Implementing and maintaining detailed and high-level performance models. Analyzing benchmarks, application workloads, and performance simulation results to identify tradeoffs in areas of micro-architectural optimizations. • Debugging performance and functional issues with high-level models, RTL simulation, and silicon.

Requirements

• M.S. or Ph.D. in CS, CE, or EE (or equivalent experience).
• 5+ years experience in SoC or memory system architecture and performance
• Deep understanding of memory subsystems – caches and coherence protocols, DDR and memory controller architecture, on-chip interconnects, address translation
• Strong communication and interpersonal skills along with the ability to work in a dynamic, product oriented, distributed team.
• Exposure/coursework related to Digital systems and VLSI design, Computer Architecture, C/C++ programming languages.
• Software development experience with C++, python and/or perl.

Nice To Haves

• Significant experience with performance modeling or performance verification.
• Experience debugging and solving complex performance issues.
• Verilog or SV/UVM are a plus.

Responsibilities

• Driving development of architecture and micro-architecture to improve the state-of-the-art in memory systems optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule.
• Performance modeling and simulation of features to improve memory system performance and efficiency.
• Implementing and maintaining detailed and high-level performance models.
• Analyzing benchmarks, application workloads, and performance simulation results to identify tradeoffs in areas of micro-architectural optimizations.
• Debugging performance and functional issues with high-level models, RTL simulation, and silicon.

Benefits

• You will also be eligible for equity and benefits.
• Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level