Senior AI Systems Engineer: Agentic CUDA & GPUs, Equity

NVIDIA Corporation; Santa Clara (CA); Vor Ort; USD 152.000 - 242.000; Vollzeit

Zusammenfassung

NVIDIA Corporation is seeking Senior High Performance AI Engineers to build the next generation of agentic AI systems for the CUDA ecosystem. You will design, implement, and optimize agent architectures, multi-agent workflows, tool use, memory, and orchestration across the NVIDIA stack, collaborating with model, software, and hardware teams.

You have a BS in Computer Science, Electrical Engineering, or related field (MS/PhD preferred) and 4+ years in AI systems; strong C/C++, Rust, and Python

Qualifikationen

• Bachelor’s degree in CS, EE, or related field; MS or PhD preferred.
• 4+ years of relevant AI systems, ML, compilers, HPC experience.
• Hands-on in agent systems, coding agents, reinforcement learning, or modern AI inference systems.
• Strong C/C++, Rust, and Python programming skills with solid software engineering fundamentals.
• Experience with GPU programming and optimization using CUDA or comparable accelerator platforms.

Aufgaben

• Design, build, and optimize agentic AI systems for the CUDA ecosystem, including architectures, multi-agent workflows, tool use, memory, and orchestration.
• Build data, environments, verification, reward, and evaluation systems to improve model and agent capabilities.
• Co-design and optimize agentic systems across NVIDIA’s software and hardware stack, from models and inference through compilers, runtimes, libraries, kernels, and GPUs.

Kenntnisse

C/C++

Rust

Python

Ausbildung

B.S. in Computer Science or Electrical Engineering

MS or PhD preferred

Tools

CUDA

GPU programming

TRT-LLM

SGLang

vLLM

Transformer Engine

Jobbeschreibung

NVIDIA Corporation is seeking Senior High Performance AI Engineers to build the next generation of agentic AI systems for the CUDA ecosystem. You will design, implement, and optimize agent architectures, multi-agent workflows, tool use, memory, and orchestration across the NVIDIA stack, collaborating with model, software, and hardware teams.

You have a BS in Computer Science, Electrical Engineering, or related field (MS/PhD preferred) and 4+ years in AI systems; strong C/C++, Rust, and Python