Solution Architect SPX and Cloud Infrastructure

extra holidays - fully flexible
Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor's, Master's, or PhD in Electrical/Computer Engineering, Computer Science, Physics, or related fields., At least 5 years of experience in Solution Architecture or similar roles., Strong knowledge of Data Center Networking, including topologies and Ethernet protocols., Hands-on experience with NVIDIA systems, SDKs, and networking technologies is a plus..

Key responsibilities:

  • Collaborate with customers on data center networking projects as a solution architect.
  • Design AI systems and provide technical consultation to address customer issues.
  • Conduct regular technical meetings to discuss project roadmaps and new technology solutions.
  • Provide feedback to engineering teams on product requirements and enhancements.

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NVIDIA XLarge http://www.nvidia.com
10001 Employees
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Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and selfdriving cars that can understand the world. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!

As a AI networking and Data Center Solutions Architect you will help our customers and partners adopt endtoend AI solutions. Work with our most strategic technology customers in their AI Journey building their technology infrastructure to reach their AI Goals.

What you will be doing:

  • Working with NVIDIA customers on data center networking infrastructure projects as a solution architect. Guide customers to servernetworkcluster deployments and lead discussions about network topologies, computestorage for AI

  • Use your strong technical skills to consult, design AI systems and tackle customer issues

  • Conducting regular technical customer meetings for projectproduct roadmap, feature discussions and introduction to new technology solutions

  • Provide a constructive feedback to engineering regarding product requirements, evolution, including submitting Requests for Enhancements supported with business evidence

    • What we need to see:

      • BSMSPhD in ElectricalComputer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.

      • 5+ years of Solution Architecture (or similar Sales Engineering roles) experience

      • Advance knowledge of Data Center Networking topologies, Ethernet routing and switching protocols

      • Effective time management and capable of balancing multiple tasks. Proactively engaging withe customers and colleagues to achieve their goals.

        • Ways to stand out from the crowd:

          • Handson experience with NVIDIA systemsSDKs (e.g. CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), andor ARM CPU solutions, NCCL and NIXL knowledge.

          • Understanding of system level issues, including Operating Systems, Linux kernel drivers, PCIe devices, NICs, and hardware architecture

          • Knowledge of DevOpsMLOps technologies such as Dockercontainers, Kubernetes, data center computenetworkstorage deployments

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

              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.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Time Management

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