Senior GPU Architect, Deep Learning

Description

The company is hiring a senior architect to work on GPU and deep learning, joining the GPU architecture group that leads work on parallel programming models and hardware for deep learning and parallel computing.

You will help improve GPU architecture for deep learning training and inference, working with other senior architects and researchers to build simulators, map deep learning workloads onto current and future hardware, and validate new architectural features.

Responsibilities

• Design new hardware features for future processing architectures aimed at deep learning training and inference.
• Push forward the state of parallel computation.
• Keep up with future parallel programming models and understand how they affect hardware.
• Write software for hardware simulators, test infrastructure, and metrics systems, including databases.
• Work with a team to document, design, and build tools that analyze and simulate, validate, and verify functional or performance models.
• Write tests, test plans, and testing infrastructure for new graphics or parallel processing architectures.
• Learn quickly and work across simulators, RTL, and real silicon.

Requirements

• An MS in Computer Science, Electrical Engineering, or Computer Engineering, or equivalent experience.
• Experience with hardware built for deep learning, or with mapping deep learning algorithms to hardware.
• 8+ years of relevant industry experience in GPU or other parallel programming architectures, or equivalent experience.
• Strong programming skills in C, C++, Perl, and Python.
• Background in computer architecture, parallel processing, signal processing, or high performance computing.
• Knowledge of current deep learning algorithms and attention mechanisms is a strong plus.

Conditions

Base salary depends on location, experience, and other objective job-related factors.

Level 4 base salary ranges from 184,000 USD to 287,500 USD.

Level 5 base salary ranges from 224,000 USD to 356,500 USD.

Applications are accepted until at least November 3, 2026.

This posting is for an existing vacancy.

The company uses AI tools in its recruiting process.

The company is an equal opportunity employer and does not discriminate on the basis of any characteristic protected by law.