Solutions Architect, HPC Systems Engineer

NVIDIA; Santa Clara (CA); Remote; USD 148,000 - 236,000; Full time

Job summary

Join a forward-thinking company as a Solutions Architect & Engineer, where you will leverage your expertise in GPU and network systems to drive innovative AI technologies in customer data centers. This role involves collaborating with strategic clients, offering tailored solutions, and influencing product roadmaps. You'll be a trusted advisor, conducting technical meetings and building custom demonstrations to meet critical business needs. With opportunities for remote work and a commitment to diversity, this position is perfect for those looking to make a significant impact in the tech industry while enjoying a competitive salary and benefits.

Benefits

Equity

Comprehensive benefits

Flexible work location

20% travel for on-site visits

Qualifications

• 5+ years of Systems/Solution Engineering experience required.
• Expertise in CPU/GPU architecture and Linux kernel is essential.

Responsibilities

• Guide customer discussions on network design and system deployments.
• Analyze and debug compute/network configuration and performance issues.

Skills

GPU and network systems expertise

System level expertise of CPU/GPU server architecture

Linux system software and kernel drivers

Networking switches for Ethernet/Infiniband

DevOps/MLOps technologies

Strong verbal/written communication skills

Effective time management

Education

BS/MS/PhD in Electrical/Computer Engineering

Equivalent experience in Engineering fields

Tools

Docker

Kubernetes

NVIDIA GPU systems/SDKs

Job description

NVIDIA is looking for an experienced GPU and network systems Solutions Architect & Engineer. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in customer data centers? As part of the NVIDIA SA organization, you will be driving deployment of our end-to-end technology solutions integration at some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product roadmap.

What you will be doing:

• Working with NVIDIA AI Native, Consumer Internet and IT Services customers on large data center GPU server and networking system deployments as Solution Architect Engineer. Guide customer discussions on network design, compute/storage and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase.

• Demonstrate subject matter expertise in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers. Bring customer-specific requirements to product teams to guide product roadmap features.

• Identify new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the GPU/Network Systems Engineering, Product management and Sales teams.

• Work as customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster issues debug, feature discussions and introduction to new technology solutions.

• Build custom product demonstrations and POCs for solutions that address critical business needs of our customers.

• Analyze and debug compute/network configuration, performance issues to deliver performant clusters.

What we need to see:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.

• This role is for an individual with the motivation and skills to drive the data center engineering process. Ideal candidate has 5+ years of Systems/Solution Engineering (or similar Engineering roles) experience.

• System level expertise of CPU/GPU server architecture, NICs, Linux, system software and kernel drivers.

• Experience with networking switches for Ethernet/Infiniband, and Data Center infrastructure (power/cooling).

• Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes.

• Effective time management and capable of balancing multiple tasks.

• Strong verbal/written communication skills and share your ideas/code clearly through documents, presentation etc.

Ways to stand out from the crowd:

• External customer facing background.

• Experience with bringup and deployment of large clusters.

• Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel and drivers.

• Hands-on experience with NVIDIA GPU systems/SDKs (e.g. CUDA), NVIDIA Networking technologies (e.g. NICs, RoCE, InfiniBand), and/or ARM CPU solutions.

• Familiarity with virtualization technology concepts.

We make extensive use of conferencing tools, but occasional (20%) travel is required for on-site visit to customers and industry events. We are open to remote work location and look forward to have you join our team!

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

The base salary range is 148,000 USD - 235,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.