Senior Solutions Architect, Generative AI Data Processing
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
You will also be eligible for equity and benefits.
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NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.
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