- BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.
- 8+ years of experience in deep learning, machine learning, or distributed AI systems.
- Strong programming and debugging experience in Python, C/C++, and Linux environments.
- Background in using deep learning libraries like PyTorch or TensorFlow.
- Hands-on experience building LLM and generative AI applications.
- Experience working with agentic or multi-agent AI systems employing frameworks such as: LangGraph, LlamaIndex, CrewAI, LangChain, OpenAI Agents SDK or similar orchestration frameworks
- Experience building tool-using AI agents that interact with APIs, databases, and enterprise systems.
- Ability to rapidly prototype AI applications and build scalable GPU-accelerated architectures.
Ways to Stand Out from the Crowd
- Experience working with NVIDIA GPUs and AI software, such as NVIDIA NIM, NeMo Framework, NeMo Retriever, and NeMo Agent Toolkit.
- Background with LLM evaluation frameworks, benchmarking systems, and safety guardrails for agentic workflows.
- Experience with pre-training/fine-tuning techniques like SFT, LoRA, DPO, PPO, GRPO, DAPO, or RLVF
- Experience optimizing reasoning-focused LLMs through timely engineering, quantization, or benchmarking.
- Background with parallel or distributed computing environments and AI workloads optimized for GPUs.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.