Senior Solutions Architect, Generative AI job opportunity at NVIDIA.

Home Jobs In United States Of America Tag: Generative AI Senior Solutions Architect, Generative AI position at NVIDIA


DatePosted 27 Days Ago bot
NVIDIA Senior Solutions Architect, Generative AI
Experience: 8-years
Pattern: full-time
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Generative AI

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degreePhD
loacation US, CA, Santa Clara, United States Of America
loacation US, CA, Santa ..........United States Of America

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 (DL) 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 (LLMs). 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, LLMs, and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team 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 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 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) 8+ 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 Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until February 6, 2026. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. 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.

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