NVIDIA
Senior Solutions Architect, Generative AI Data Processing
NVIDIA, Santa Clara, California, us, 95053
Senior Solutions Architect, Generative AI Data Processing
Join NVIDIA as a Senior Solutions Architect to design and deploy AI solutions that accelerate data processing for generative AI. Work across engineering, product and customer teams to build scalable systems that accelerate agentic workflows and efficiently handle datacenter‑scale use cases.
What You Will Be Doing
Partner with solution architects, engineering, product and business teams to understand strategy and technical needs and define high‑value solutions.
Engage with developers, scientific researchers and data scientists to gain experience across a range of technical areas.
Strategically partner with lighthouse customers and industry‑specific solution partners to target our computing platform.
Work 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.
Travel to conferences and customers as required.
What We Need To See
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, 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 (AWS, Azure, GCP) and on‑premises infrastructure.
Experience with NVIDIA GPUs and software libraries such as NeMo, NeMo Retriever, cuV, RAPIDS.
Expertise in MLOps including Kubernetes, Docker, Helm, 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.
Salary: $184,000 – $287,500 USD (base). Eligible for equity and benefits.
Applications will be accepted until October 19, 2025.
NVIDIA is an equal opportunity employer. We do not discriminate 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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What You Will Be Doing
Partner with solution architects, engineering, product and business teams to understand strategy and technical needs and define high‑value solutions.
Engage with developers, scientific researchers and data scientists to gain experience across a range of technical areas.
Strategically partner with lighthouse customers and industry‑specific solution partners to target our computing platform.
Work 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.
Travel to conferences and customers as required.
What We Need To See
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, 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 (AWS, Azure, GCP) and on‑premises infrastructure.
Experience with NVIDIA GPUs and software libraries such as NeMo, NeMo Retriever, cuV, RAPIDS.
Expertise in MLOps including Kubernetes, Docker, Helm, 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.
Salary: $184,000 – $287,500 USD (base). Eligible for equity and benefits.
Applications will be accepted until October 19, 2025.
NVIDIA is an equal opportunity employer. We do not discriminate 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.
#J-18808-Ljbffr