NVIDIA's Silicon Solutions Group is seeking an experienced Full Stack Developer with expertise in AI and LLM technologies to drive innovation in their data analysis and automation infrastructure. This role represents a unique opportunity to work at the forefront of AI technology with the world leader in accelerated computing.
The position combines full-stack development with cutting-edge AI implementation, focusing on integrating AI solutions into existing and new automation workflows. The successful candidate will lead strategies and design of AI solutions, working with state-of-the-art technologies including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) workflows.
The role requires a master's degree (or equivalent experience) with 6+ years of software development experience, including 2+ years specifically in AI solution development and deployment. The ideal candidate will bring strong proficiency in Python, C++ programming, and Deep Learning frameworks, along with proven full-stack development experience.
What makes this opportunity particularly exciting is the chance to work with NVIDIA's cutting-edge technology stack, including CUDA programming, NVIDIA NeMo Framework, NVIDIA Triton Inference Server, and TensorRT-LLM. The position offers exposure to training, fine-tuning, and evaluating LLMs using popular frameworks such as TensorFlow or PyTorch.
NVIDIA offers a competitive compensation package with a base salary range of $184,000 to $356,500 USD, plus equity and comprehensive benefits. The company's status as one of the world's most desirable employers in the technology field, combined with its commitment to innovation and excellence, makes this an exceptional opportunity for a skilled developer looking to make an impact in the AI field.
The hybrid work environment provides flexibility while maintaining collaborative opportunities with some of the most forward-thinking professionals in the industry. NVIDIA's commitment to diversity and inclusion creates a welcoming environment for all employees to contribute their best work.