NVIDIA
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
Senior Multi-GPU Signal Processing and System Architecture Engineer
🕒 April 24
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NVIDIA
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
📋 Description
• Design and implement the real‑time signal‑processing subsystem • Own the design of the signal-processing subsystem for large numbers of emulated devices • Act as a member of NVIDIA's Aerial team • Ensure information each cell needs to model interference is compressed, transported, and consumed • Work with the propagation engine and RAN stack teams to orchestrate the end‑to‑end simulation pipeline • Assess design and implementation trade‑offs
🎯 Requirements
• PhD in high‑performance computing, computer architecture, signal processing, or wireless communications (or equivalent experience) • 12+ years of proven experience • Proficiency in CUDA kernel design with attention to memory hierarchy, register pressure, and HBM bandwidth planning • Track record of writing production‑quality GPU code that meets hard real‑time deadlines • Ability to build and reason about data flows across multi‑device GPU systems (NVLink, NIC/RDMA) • Working knowledge of OFDM signal processing and the 5G NR physical layer • Impactful publications involving GPU‑accelerated numerical workloads or real‑time system design
🏖️ Benefits
• Eligible for equity and benefits
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