Solutions Architect, Generative AI - Inference

Details

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 and work on exciting projects and proof-of-concepts focused on Generative AI and Large Language Models. You will also collaborate with a diverse set of internal teams on performance analysis and modeling of inference software. You should be comfortable working in a dynamic environment, and have experience with Generative AI, Large Language Models, Deep Learning and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team with the latest technologies at NVIDIA!

Responsibilities

• 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.
• Working closely with customers to help them adopt and build solutions using NVIDIA technology.
• Analyze performance and power efficiency of deep learning inference workloads.
• Some travel to conferences and customers may be required.

Requirements

• 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 with Deep Learning frameworks such as PyTorch and TensorFlow.
• Strong fundamentals in programming, optimizations and software design, especially in Python.
• Strong problem-solving and debugging skills.
• Excellent knowledge of theory and practice of Large Language Models and Deep Learning inference.
• Excellent presentation, communication and collaboration skills.
• Desire to be involved in multiple diverse and creative projects.

Ways To Stand Out From The Crowd

• 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 parallel programming and distributed computing platforms.
• Prior experience with DL training at scale, deploying or optimizing DL inference in production.