Senior Solutions Architect, Generative AI Data Processing job opportunity at NVIDIA.

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


DateMore Than 30 Days Ago bot
NVIDIA Senior Solutions Architect, Generative AI Data Processing
Experience: 8-years
Pattern: full-time
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Generative AI Data Processing

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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 Data Analytics 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 using Data Processing for Generative AI. 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, 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, and data scientists, gaining 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 creative 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) 8+ years of hands-on experience with Machine Learning, Deep Learning and Data Analytics Strong fundamentals in programming, optimizations, and software design, especially in Python Strong problem-solving and debugging skills Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments Excellent presentation, communication and collaboration skills Ways To Stand Out From The Crowd: Prior experience with AI at scale on cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructure Experience with NVIDIA GPUs and software libraries, such as NVIDIA NeMo Framework , NeMo Retriever , cuVS , RAPIDS Expertise in MLOps including Kubernetes, Docker, Helm charts, Jupyter notebooks Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design Familiarity with parallel programming and distributed computing platforms 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 January 13, 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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