Senior Solutions Architect, Generative AI Data Processing

at Nvidia
📍 Santa Clara, United States
USD 184,000-287,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 4 Kubernetes @ 4 Python @ 7 GCP @ 4 Algorithms @ 4 Machine Learning @ 7 MLOps @ 4 AWS @ 4 Azure @ 4 Communication @ 4 Helm @ 4 Mathematics @ 4 Parallel Programming @ 3 Debugging @ 7 GPU @ 4

Details

NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers building solutions with the newest AI technology. You will become a trusted technical advisor, work on projects and deploy AI solutions in production using Data Processing for Generative AI. This role operates at the intersection of algorithms and systems and requires experience with Deep Learning, LLMs and GPU technologies. Applications accepted at least until October 19, 2025.

Responsibilities

  • Partner with solution architects, engineering, product and business teams to understand strategies and technical needs and help define high-value solutions.
  • Engage dynamically with developers, scientific researchers, and data scientists across a range of technical areas.
  • Strategically partner with lighthouse customers and industry-specific solution partners targeting NVIDIA's 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 handle datacenter-scale use cases efficiently.
  • Some travel to conferences and customer sites may be required.

Requirements

  • 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

  • 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 NVIDIA NeMo Framework, NeMo Retriever, cuVS, and RAPIDS.
  • Expertise in MLOps including Kubernetes, Docker, Helm charts, and 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.

Compensation & Benefits

  • Base salary range: 184,000 USD - 287,500 USD (determined based on location, experience, and comparable pay).
  • Eligibility for equity and company benefits.

Equal Opportunity

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. They 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.