Senior Deep Learning Performance Architect, Compute Energy Efficiency

Details

We are looking for a Senior Deep Learning Performance Architect focused on compute energy efficiency to analyze and develop next-generation architectures that accelerate AI and high-performance computing applications. The role combines performance modeling, architecture simulation, workload profiling, and energy-efficiency analysis, collaborating closely with software, systems, and research teams.

Responsibilities

• Develop innovative architectures to extend the state of the art in deep learning performance and efficiency
• Prototype key deep learning algorithms and applications
• Analyze performance, cost, and energy trade-offs by developing analytical models, simulators, and test suites
• Characterize performance and energy efficiency on scale-out systems and work with architecture and systems teams to identify and evaluate features that increase efficiency for AI workloads at scale
• Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models, and applications
• Actively collaborate with software, systems, and research teams to guide the direction of deep learning hardware and software

Requirements

• Masters degree (or equivalent experience) and 5+ years of relevant experience, or a PhD and 2+ years of experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field
• Strong foundation in deep learning model architectures and performance trade-offs
• Experience with energy-efficient high-performance analysis, architecture/system co-design and/or simulation, profiling, and visualizations
• Strong programming skills in Python, C, and C++
• Experience with parallel computing architectures or workload analysis on deep learning accelerators

Ways to Stand Out

• Background with GPU computing and parallel programming models such as CUDA
• Experience with deep neural network training, inference, and optimization in leading frameworks (e.g., PyTorch, JAX)

Company & Benefits

NVIDIA is described as an AI computing company whose GPUs are used broadly for deep learning, graphics, and high-performance computing. The role offers eligibility for equity and benefits. NVIDIA states a commitment to diversity and equal opportunity employment.

Compensation & Application

• Base salary range: 184,000 USD - 287,500 USD (determined based on location, experience, and pay of employees in similar positions)
• You will also be eligible for equity and benefits (see NVIDIA benefits)
• Applications accepted at least until August 19, 2025