7 hours ago

Solution Architect, Urban AI

NVIDIA

Hybrid
Full Time
$220,000
Hybrid

Job Overview

Job TitleSolution Architect, Urban AI
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$220,000
LocationHybrid

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Job Description

About NVIDIA and the Role

Do you want to support our global, mission-focused government clients as they embrace AI to improve government services and increase the health, well-being, and safety of their citizens? NVIDIA is building the world’s leading AI company, one customer success at a time. Our Solution Architect, Urban AI are key partners for our business and product teams and trusted advisors to our clients, helping them translate mission-focused goals into active AI enabled plans and actions.

Specifically, we are looking for technical teammates that can help our business team develop and deploy strategies and collateral to our field teams in region and also directly support us as we educate potential clients, assist with proofs of concept, productization of workflows, and advise on successful delivery of services and solutions through our ecosystem of partners. Our team interacts regularly with colleagues, partners and customers across our global footprint. NVIDIA supports a flexible work environment where you are empowered to manage your work-life balance. Occasional international travel may be required.

What You Will Be Doing

  • Empower and mentor partners, customers, and colleagues, sharing your expertise to help them grow and succeed.
  • Play a key role in shaping and supporting strategic plans that drive innovation at national, regional, and city levels across diverse global communities.
  • Build engaging resources—such as presentations, blogs, and interactive notebooks—that connect business strategy with real-world government and community needs.
  • Collaborate with customers’ technical teams, guiding and supporting them through hands-on field trials and solution deployments.
  • Advocate for customer and partner needs by helping define product requirements and championing enhancements that remove barriers.
  • Develop and demonstrate solutions based on NVIDIA’s groundbreaking AI software and hardware technologies to customers.

What We Need To See

  • Master's degree in Computer Science, Electrical/Computer Engineering, Applied Statistics, Physics, Mathematics, or other Engineering fields or equivalent experience.
  • At least five years experience in technical consulting, software development, or equivalent. At least three of those years should include delivering Computer Vision, Deep Learning, or Generative AI computing solutions or infrastructure.
  • Experience with at least one of the following: fine tuning or deploying computer vision models (CNNs, ViT, VLM, Gen AI); fine tuning and deploying large language models; deploying agentic and Generative AI based solutions.
  • Hands-on experience with Python, PyTorch and containers.
  • Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams).
  • Effective verbal, written communications, and technical presentation skills including sharing your ideas/code clearly through blog posts and GitHub.
  • Self-starter with a vision for growth, dedication to continuous learning and sharing findings across the team.

Ways To Stand Out From The Crowd

  • Prior work in government, AI startups, or working with digital twins.
  • Development experience with Kubernetes, Helm or Slurm.
  • Experience with CICD and MLOPS technologies for building computer vision, NLP, Digital Twins or data analytics applications.
  • Hands-on experience in creating solutions using NVIDIA software libraries and GPUs.
  • Effective interpersonal and communications skills in additional languages and cultures, especially Spanish, Portuguese, French, German, Vietnamese, Thai, Bahasa, or Arabic.

Key skills/competency

  • AI Strategy
  • Computer Vision
  • Deep Learning
  • Generative AI
  • Python
  • PyTorch
  • Containerization
  • Kubernetes
  • MLOps
  • Technical Consulting

Tags:

Solution Architect
AI strategy
technical consulting
client engagement
solution deployment
product advocacy
mentorship
project management
workflow productization
proofs of concept
Computer Vision
Deep Learning
Generative AI
Python
PyTorch
Containers
Kubernetes
Helm
Slurm
MLOps

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How to Get Hired at NVIDIA

  • Research NVIDIA's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, focusing on AI leadership.
  • Tailor your resume: Customize your application for the Solution Architect, Urban AI role, highlighting experience in AI, technical consulting, government projects, and relevant technologies like Python and PyTorch.
  • Showcase technical prowess: Be prepared to discuss your hands-on experience with Computer Vision, Deep Learning, Generative AI models, containers, and MLOps during technical interviews.
  • Prepare for behavioral questions: Emphasize your collaboration skills, customer advocacy, mentorship abilities, and how you manage work-life balance in a flexible environment.
  • Demonstrate problem-solving: Be ready to articulate past challenges in AI solution deployment, how you overcame them, and the impact of your work in previous roles.

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