1 day ago
Base Salary
$136k - $253k/yr
Responsibilities
- Lead product research evaluating generative AI models, agent technology, reinforcement learning, and evaluation methods.
- Build proof-of-concept applications, benchmarks, reference sample code, reusable evaluation harnesses, profiling utilities, and agentic workflows.
- Translate customer, developer, benchmark, usage, and field signals into product intelligence, issue reproductions, and roadmap recommendations.
- Develop enterprise-ready reference architectures, integration playbooks, performance-tuning recipes, and demo-to-production workflows for Nemotron, NeMo, NIM, and related NVIDIA AI software.
- Collaborate with research, engineering, product management, technical marketing, field teams, customers, and the developer community on product improvements and launch inputs.
- Create technical content including code examples, tutorials, blogs, white papers, benchmarks, demos, conference material, talks, and patents where appropriate.
Requirements
- Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent experience.
- At least 5 years of experience in software engineering, machine learning engineering, AI engineering, solutions architecture, applied research, or a similar technical role.
- Hands-on experience building, training, fine-tuning, evaluating, deploying, or optimizing machine learning, deep learning, agentic AI, or generative AI systems.
- Practical experience with large language models, retrieval-augmented generation, agentic workflows, model evaluation, or AI application development.
- Experience with Python and modern deep learning frameworks or libraries such as PyTorch, Hugging Face Transformers, LangChain, LlamaIndex, or TensorFlow.
- Familiarity with AI-assisted development tools and coding agents such as Codex, Claude Code, or Cursor.
- Ability to produce technically rigorous developer content and explain complex technical topics to expert and non-expert audiences.
- Preferred qualifications include a PhD and experience with multimodal models, reinforcement learning, model optimization, agentic applications, coding assistants, RAG pipelines, synthetic data, AI safety, or NVIDIA AI software.
Benefits
- Comprehensive benefits package and eligibility for equity.
- Base salary range of 136,000 USD–212,750 USD for Level 3 and 160,000 USD–253,000 USD for Level 4.
- Applications accepted at least until September 18, 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.