Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 6
Agentic AI @ 6
Agentic Systems @ 6
CUDA @ 4
Deep Learning @ 6
GPU @ 4
HPC
LLM @ 4
Leadership @ 6
Machine Learning @ 6
Performance Optimization @ 4
Python @ 7
Reinforcement Learning @ 4
Rust @ 7
SGLang @ 4
vLLM @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
We are looking for outstanding Senior High-Performance AI Engineers to build the next generation of agentic AI systems for the CUDA ecosystem. The team works across the full agentic AI stack, including model training and improvement, agent architectures and multi-agent systems, systems and runtimes, and evaluation frameworks.
You will help develop intelligent agentic systems that can reason about, generate, optimize, and operate across NVIDIA's accelerated computing stack. This includes advancing model and agent capabilities, building scalable agent systems and runtimes, developing high-fidelity training and evaluation environments, and co-designing with NVIDIA's libraries, runtimes, compilers, and hardware. You will collaborate closely with NVIDIA software, model, and hardware teams to bring new capabilities into NVIDIA products.
Responsibilities
- Design, build, and optimize agentic AI systems for the CUDA ecosystem, including agent architectures, multi-agent workflows, tool use, memory, and orchestration.
- Build the data, environments, verification, reward, and evaluation systems needed to continuously 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.
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience; a master's degree or PhD is preferred.
- 4+ years of relevant industry or academic experience in AI systems, machine learning, compilers, high-performance computing, or related areas.
- Hands-on experience in one or more of the following: 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 performance optimization using CUDA or comparable accelerator platforms, with the ability to work effectively across system boundaries.
Preferred Qualifications
- Track record of building high-impact coding agents, autonomous software-engineering systems, or developer tools.
- Hands-on experience optimizing and deploying with TRT-LLM, SGLang, vLLM, or Transformer Engine.
- Deep expertise in GPU systems and performance optimization, demonstrated through benchmark results, deployed systems, publications, or widely used software.
- Publications or open-source leadership in deep learning, agentic AI, reinforcement learning, compilers, high-performance computing, or AI systems.
Benefits
NVIDIA offers equity and a comprehensive benefits package. The company is committed to fostering an inclusive work environment and is an equal opportunity employer. Applications will be accepted at least until September 15, 2026.