Solutions Architect, Agentic AI
NVIDIA
NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement?
You will become a trusted technical advisor with our customers, work on exciting projects and deploy AI solutions in production with Generative AI and Large Language Models (LLMs). You will also collaborate with a diverse set of internal teams on innovative AI optimization techniques, operating at the intersection of algorithms and systems. You should be comfortable working in a dynamic environment, and have experience with Deep Learning (DL), LLMs and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team with the latest technologies at NVIDIA!
What you'll be doing:
Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions
Dynamically engaging with developers, scientific researchers, data scientists, which will give you experience across a range of technical areas
Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform for Agentic AI systems
Working closely with customers to help them adopt and build solutions using NVIDIA technology
Design and implement scalable systems to accelerate agentic workflows and efficiently handle datacenter-scale use cases
Some travel to conferences and customers may be required
What we need to see:
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
5+ years of hands-on experience in DL and DL systems design
Strong fundamentals in programming, optimizations and software design, especially in Python
Strong problem-solving and debugging skills
Excellent knowledge of theory and practice of DL and Generative Models
Excellent presentation, communication and collaboration skills
Desire to be involved in multiple diverse and creative projects
Ways to stand out from the crowd:
Prior experience with agentic LLM frameworks such as Langchain and LLamaIndex
Experience with NVIDIA GPUs and software libraries, such as NVIDIA NeMo Framework, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM
Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design
Familiarity with computer architecture and AI algorithms development
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.