1 day ago
Base Salary
$152k - $242k/yr
Responsibilities
- Design, build, and optimize agentic AI systems for the CUDA ecosystem, including agent architectures, multi-agent workflows, tool use, memory, and orchestration.
- Build data, training environments, verification, reward, and evaluation systems that continuously improve model and agent capabilities.
- Co-design and optimize agentic systems across models, inference, compilers, runtimes, libraries, kernels, and GPUs.
- Collaborate with NVIDIA software, model, and hardware teams to bring new capabilities into NVIDIA products.
Requirements
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience; an MS 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 with 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.
- Preferred qualifications include experience with coding agents, autonomous software-engineering systems, developer tools, TRT-LLM, SGLang, vLLM, Transformer Engine, GPU systems, publications, or open-source leadership.
Benefits
- Highly competitive base salary of $152,000-$241,500, determined by location, experience, and comparable employee pay.
- Eligible for equity and benefits.
- Applications accepted at least until September 15, 2026.
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.