Nvidia Senior AI Deep Learning Engineer 

United States, Texas 

427234825

What you'll be doing:

• Develop intelligent coding agents capable of planning, tool use, and multi-step reasoning for real-world coding workflows.

• Supervised fine-tuning and reinforcement learning to improve LLM performance on programming tasks.

• Generate and curate high-quality synthetic datasets (code, natural language, compiler traces, interaction logs) for LLM training and evaluation.

• Collaborate with cross-functional teams including CUDA teams, developer tools engineers, and foundational model researchers.

• Benchmark models on a range of code generation tasks

What we need to see:

• M.S. or Ph.D. in Computer Science, Machine Learning, or related field (or equivalent experience).

• 5+ years of experience in deep learning, with a focus on LLMs or generative models.

• Strong knowledge in one or more of the following:

• Post-training techniques for LLMs (e.g., RL, instruction tuning, alignment).

• Autonomous agents or tool-augmented LLMs.

• Synthetic data generation and scalable data pipelines for machine learning.

• Proficiency in Python, C++, and deep learning frameworks such as PyTorch

• Ability to work independently and drive projects end-to-end in a research or applied setting.

• Excellent communication and interpersonal skills to articulate complex technical concepts and collaborate effectively with cross-functional teams.

Ways to stand out from the crowd:

• Proven contributions in developing AI systems for software, hardware, or large-scale computing environments.

• Expertise in C++, CUDA, or GPU programming, with a deep understanding of chip design and computer architecture.

• Experience with GenAI and cutting-edge LLM technologies, and familiarity with the intersection of AI and hardware design.

What You’ll Get:

• The opportunity to work alongside some of the most forward-thinking and hardworking people in the industry, shaping the future of AI.

• A creative, autonomous work environment that encourages innovation.

• The ability to influence long-term opportunities that expand NVIDIA’s impact on the datacenter and beyond.