Full Stack Developer, AI and LLM

at Nvidia
📍 United States
USD 184,000-356,500 per year
MIDDLE SENIOR
✅ Remote

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Software Development @ 6 Python @ 5 Machine Learning @ 3 TensorFlow @ 3 Communication @ 3 Data Analysis @ 3 LLM @ 3 PyTorch @ 3 CUDA @ 3

Details

NVIDIA's Silicon Solutions Group is seeking a full-stack developer with AI/LLM expertise to help integrate AI into its data analysis and automation infrastructure. The solutions developed will support multiple critical large-scale automation initiatives. In this role, you will lead strategies and design of AI solutions to improve the efficiency of our existing and new automation workflows. The ideal candidate will combine technical expertise with hands-on experience to drive all AI planning, design, and implementation aspects. At NVIDIA, we strive for excellence, encourage innovation, and provide opportunities to explore new ways to succeed!

Responsibilities

  • Study and develop groundbreaking techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis.
  • Collaborate with developers and cross-functional teams to identify current and emerging challenges.
  • Design and implement end-to-end generative AI solutions, specializing in Large Language Model (LLM) training, efficient deployment strategies, and sophisticated Retrieval-Augmented Generation (RAG) workflows.

Requirements

  • MS (or equivalent experience) with 6+ years of software development; 2+ years relevant work experience in developing and deploying AI solutions.
  • Proven full-stack development experience with a focus on improving application performance and user experience.
  • Proficiency in Python, C++ programming, and Deep Learning frameworks.
  • Ability to work independently and as part of a team.
  • Motivated self-starter with strong analytical and debug skills.
  • Ability to balance multiple simultaneous projects.
  • Excellent verbal and written communication skills.

Ways to Standout from the crowd

  • Experience with CUDA programming and benchmarking and analyzing performance AI Agentic systems.
  • Expertise in training, fine-tuning, and evaluating LLMs using popular frameworks such as TensorFlow or PyTorch.
  • Proficiency in model deployment and optimization techniques for efficient inference on various hardware platforms.
  • Experience with NVIDIA GPUs and software libraries, such as NVIDIA NeMo Framework, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM.

NVIDIA is widely considered to be one of the world's most desirable employers in the technology field. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!