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!
What You'll Be Doing:
Prioritize AI opportunities that address key business challenges, align with strategic goals, and deliver measurable ROI.
Lead the AI team, collaborating with AI developers to drive all AI-related initiatives.
Collaborate with internal and external teams to identify opportunities for leveraging AI to automate their workflows.
Support the roadmap owner in defining the AI roadmap and aligning it with the broader automation strategy.
What We Need to See:
MS (or equivalent experience) with 15+ years of software development; 8+ 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
Proficiency in model deployment and optimization techniques for efficient inference on various hardware platforms ·
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!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 425,500 USD.You will also be eligible for equity and benefits.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
