Senior AI Performance Architect for Autonomous Systems

NVIDIA; United States; Remote; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Solutions Architect with a performance engineering background to help Autonomous Vehicles and Robotics customers accelerate Physical AI workloads using NVIDIA’s full-stack technologies.

Join the Automotive Solutions Architecture team to dive deep into customer projects, optimize GPU compute, and tune libraries like cuDNN, cuBLAS, and CUTLASS while exploring interconnects such as NVLINK and InfiniBand.

Qualifications

• 8+ years of hands-on ML/DL performance engineering experience focusing on GPU compute efficiency.
• Strong math fundamentals and understanding of parallel architectures and numerical methods.
• Experience with distributed communication optimization and GPU interconnects.
• Effective verbal/written communication and technical presentation skills.

Responsibilities

• Engage with AV engineers to understand problems and optimize GPU kernels and parallel algorithms.
• Collaborate with architecture, research, libraries, tools and system software teams to influence next-gen architectures and programming models.
• Optimize high-performance operators and support libraries such as cuDNN, cuBLAS, and CUTLASS; contribute to library development.
• Improve data transfer strategies across NVLINK and InfiniBand, and enable compute-communication overlap.

Tools

C/C++/Python

CUDA

Linux

NCCL

cuDNN

Job description

NVIDIA is seeking a Solutions Architect with a performance engineering background to help Autonomous Vehicles and Robotics customers accelerate Physical AI workloads using NVIDIA’s full-stack technologies.

Join the Automotive Solutions Architecture team to dive deep into customer projects, optimize GPU compute, and tune libraries like cuDNN, cuBLAS, and CUTLASS while exploring interconnects such as NVLINK and InfiniBand.