Senior Computer Vision Hardware Architect

Responsibilities

• Deliver highly efficient software on Programmable Vision Accelerators (PVA) for Autonomous Driving solutions
• Analyze, prototype, and optimize key applications for both existing and next-generation PVA architectures
• Build predictive models for performance, power, and reliability to evaluate new architectural features
• Develop tools to analyze, simulate, validate, and verify application performance and energy consumption
• Collaborate across teams to advance PVA architecture in performance, efficiency, reliability, and programmability

Requirements

• Masters or PhD (or equivalent experience) in Computer Engineering, CS&E, Computer Science, or AI
• 3+ years of relevant professional experience
• Excellent C/C++ programming and software design skills
• Strong background in computer architecture and high-performance computing
• Experience in performance modeling, profiling, debugging, and code optimization
• Architectural knowledge of CPU and DSP

Preferred Qualifications

• Experience with DSP programming, performance analysis, modeling, and optimization
• GPU programming experience
• Autonomous vehicle software development experience
• Expertise in characterizing and modeling system-level performance and documenting results
• Experience in deep learning, computer vision, and the self-driving car domain

About the Company

NVIDIA is a global leader in accelerated computing. The MMPLEX PVA team designs state-of-the-art programmable vision accelerators targeting the automotive and robotics sectors, responsible for architecture modeling, design, verification, and the delivery of high-performance computer vision applications.