Senior Multi-GPU Signal Processing and System Architecture Engineer

This is a fully remote position, open to applicants in California.

📋 Description

• Design and implement a real-time signal-processing subsystem.

• Take ownership of the signal-processing subsystem design for a large number of emulated devices.

• Serve as a part of NVIDIA's Aerial team.

• Ensure that the information each cell requires to model interference is efficiently compressed, transmitted, and utilized.

• Collaborate with the propagation engine and RAN stack teams to coordinate the end-to-end simulation pipeline.

• Evaluate design and implementation trade-offs.

⛳️ Requirements

• PhD in high-performance computing, computer architecture, signal processing, or wireless communications (or equivalent experience).

• Over 12 years of demonstrated experience.

• Expertise in CUDA kernel design with a focus on memory hierarchy, register pressure, and HBM bandwidth planning.

• Proven history of writing production-quality GPU code that adheres to strict real-time deadlines.

• Ability to construct and analyze data flows across multi-device GPU systems (NVLink, NIC/RDMA).

• Familiarity with OFDM signal processing and the 5G NR physical layer.

• Notable publications that involve GPU-accelerated numerical workloads or real-time system design.

🏝️ Benefits

• Eligible for equity and benefits.