Description
We're seeking an exceptional Senior Solutions Architect to join our team. As a trusted technical advisor, you will work closely with customers to help them adopt and build creative solutions using NVIDIA technology. You will partner with other solution architects, engineering, product, and business teams to understand their strategies and technical needs and help define high-value solutions.
Dynamically engaging with developers, scientific researchers, and data scientists, gaining experience across a range of technical areas is essential. Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform is also key.
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.
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience) is required. 8+ years of hands-on experience with Machine Learning, Deep Learning, and Data Analytics is necessary.
Strong fundamentals in programming, optimizations, and software design, especially in Python, are required. Strong problem-solving and debugging skills are also essential.
Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments is beneficial. Excellent presentation, communication, and collaboration skills are necessary.
Prior experience with AI at scale on cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructure is desirable. Experience with NVIDIA GPUs and software libraries, such as NVIDIA NeMo Framework, NeMo Retriever, cuVS, RAPIDS, is also beneficial.
Expertise in MLOps including Kubernetes, Docker, Helm charts, Jupyter notebooks is valuable. Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design, are necessary.
Familiarity with parallel programming and distributed computing platforms is beneficial. You will also be eligible for equity and benefits.