NVIDIA is seeking outstanding AI Solution Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solution architects work across many 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 inference for Deep Learning (DL) and Generative AI (GenAI). 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 GenAI, DL and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team with the latest technologies at NVIDIA!

　　What You Will 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

　　Analyze performance and power efficiency of deep learning inference workloads

　　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 with Deep Learning frameworks such as PyTorch and TensorFlow

　　Strong fundamentals in programming, optimizations and software design, especially in Python

　　Excellent knowledge of theory and practice of DL and GenAI inference

　　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 DL training at scale, deploying or optimizing DL inference in production

　　Experience with NVIDIA GPUs and software libraries, such as NVIDIA Triton Inference Server (https://developer.nvidia.com/triton-inference-server) , TensorRT (https://developer.nvidia.com/tensorrt) , TensorRT-LLM (https://github.com/NVIDIA/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

　　NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you!

　　The base salary range is 144,000 USD - 270,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

　　You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) . NVIDIA accepts applications on an ongoing basis.

　　NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

　　NVIDIA is a Learning Machine

　　NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

　　Learn more about NVIDIA .