PitchMeAI
NVIDIA

Solutions Architect, NPN

NVIDIA · Illinois, United States

  • Hybrid
  • Full-time
  • $241,500 / year
  • Illinois, United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.

Job highlights

  • Design and build large-scale AI and HPC solutions.
  • Guide partners in adopting Agentic AI solutions.
  • Utilize cloud-native, low-latency, accelerated compute.
  • Solve complex industry problems with NVIDIA technologies.
  • Collaborate with executives and engineering teams.

About the role

Solutions Architect AI and HPC

Join NVIDIA's team revolutionizing AI with data center scale solutions. We are seeking a Solutions Architect experienced in designing, building, and maintaining large-scale HPC and AI hybrid computing solutions. You will be instrumental in bringing NVIDIA AI Factory solutions to customers through our partners, addressing complex industry problems and deploying AI solutions at scale.

What You'll Be Doing

Your day-to-day work will involve guiding partners in adopting end-to-end Agentic AI solutions, leveraging NVIDIA's compute, networking, and software stacks. You will utilize cloud-native methodologies, low-latency networks, and accelerated compute to build modern AI factories. This role includes sharing knowledge through demos, proof-of-concepts, and technical writing. You will collaborate with executives and engineering teams to solve complex problems and bring NVIDIA's technologies to life in the cloud and data center. Our mission is to solve the industry's most challenging problems.

What We Need To See

  • BS, MS, or PhD in Engineering, Computer Science, or a related field (or equivalent experience).
  • Established track record working with AI and HPC clusters, both on-premises and cloud-based.
  • 5+ years of proven experience with cluster management and related tools (Docker Containers, Slurm, Kubernetes, Ansible).
  • Hands-on experience with network, storage, cluster configuration, and debugging.
  • Strong analytical and problem-solving skills, with the ability to articulate technical concepts effectively.
  • Ability to multitask efficiently in a dynamic environment.

Ways To Stand Out From The Crowd

  • Strong channel sales knowledge and partner co-selling experience.
  • Strong coding and debugging skills (Python, C/C++, Bash, Linux utilities).
  • Demonstrated expertise in GPU workloads, Kubernetes, InfiniBand, Ethernet, or related high-performance cluster and hybrid cloud solutions (projects or Open Source contributions).
  • Hands-on experience with NVIDIA AI Enterprise, Base Command Manager, Run:ai, and NVIDIA NIMs.
  • Willingness and ability to learn quickly and solve advanced problems.

NVIDIA is a highly desirable technology employer, known for its forward-thinking and hardworking team. If you are creative and autonomous, we encourage you to apply. Your base salary will be determined by location, experience, and pay of similar positions, with ranges of $152,000 - $241,500 USD for Level 3 and $184,000 - $287,500 USD for Level 4. You will also be eligible for equity and benefits.

Key skills/competency

  • Solutions Architect
  • AI
  • HPC
  • Data Center Solutions
  • Hybrid Cloud
  • Kubernetes
  • NVIDIA AI Enterprise
  • Cluster Management
  • Problem Solving
  • Technical Sales

Skills & topics

  • Solutions Architect
  • AI
  • HPC
  • Data Center
  • Cloud Computing
  • Kubernetes
  • NVIDIA
  • Technical Solutions
  • Hybrid Cloud
  • Architect

How to get hired

  • Tailor your resume: Highlight experience with AI, HPC clusters, cluster management tools (Kubernetes, Docker, Slurm, Ansible), and NVIDIA technologies.
  • Showcase expertise: Emphasize hands-on experience with GPU workloads, hybrid cloud solutions, and any Open Source contributions related to high-performance computing.
  • Demonstrate problem-solving: Prepare examples of how you've solved complex technical challenges in dynamic environments.
  • Research NVIDIA's AI Factory: Understand their approach to AI solutions and how your skills align with their partner network objectives.
  • Prepare for technical interviews: Be ready to discuss your experience with network, storage, cluster configuration, and debugging.

Technical preparation

Master Kubernetes and container orchestration.,Deepen knowledge of NVIDIA AI Enterprise.,Practice scripting with Python and Bash.,Understand InfiniBand and high-speed networking.

Behavioral questions

Describe a complex AI problem you solved.,How do you explain technical concepts to executives?,Share an experience of collaborating with partners.,How do you manage multiple dynamic projects?

Frequently asked questions

What is the role of a Solutions Architect on the NVIDIA Partner Network team?
As a Solutions Architect on the NVIDIA Partner Network team, you will guide partners in adopting end-to-end Agentic AI solutions. This involves using NVIDIA's compute, networking, and software stacks to build modern AI factories, addressing complex industry problems, and deploying AI solutions at scale.
What are the key technical skills required for the Solutions Architect role at NVIDIA?
Key technical skills include 5+ years of experience with cluster management tools like Docker Containers, Slurm, Kubernetes, and Ansible. Hands-on experience with network, storage, cluster configuration, and debugging is essential. A background in AI and HPC clusters, both on-premises and cloud-based, is also required.
How does NVIDIA use AI in its recruiting process?
NVIDIA utilizes AI tools within its recruiting processes to enhance efficiency and effectiveness. This may involve AI-assisted resume screening, candidate matching, or interview scheduling, aiming to streamline the hiring journey.
What is the typical career progression for a Solutions Architect at NVIDIA?
While specific paths vary, a Solutions Architect at NVIDIA can progress into more senior architect roles, lead architect positions, or specialized technical management roles. The focus is on continuous learning and tackling increasingly complex challenges within AI and HPC.
Does NVIDIA offer opportunities for professional development for Solutions Architects?
Yes, NVIDIA is committed to employee growth. Solutions Architects can expect opportunities for continuous learning, training on new NVIDIA technologies, and the chance to work on cutting-edge projects that foster professional development.
What kind of problems will a Solutions Architect solve at NVIDIA?
Solutions Architects at NVIDIA tackle complex, unsolved problems in the industry, particularly related to deploying and operationalizing AI solutions at scale. This includes developing modern AI factories using advanced compute, networking, and software stacks.
What is the compensation range for this Solutions Architect position at NVIDIA?
The base salary range for this Solutions Architect position is $152,000 - $241,500 USD for Level 3 and $184,000 - $287,500 USD for Level 4. Candidates may also be eligible for equity and benefits.