Senior Solution Engineer, vGPU and Omniverse

Posted 10 Days Ago
Be an Early Applicant
Santa Clara, CA
5-7 Years Experience
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Senior Solution Engineer will provide support for NVIDIA's vGPU and Omniverse products, triaging customer issues, collaborating with engineering to resolve complex problems, and developing features and tools as part of the solution engineering efforts. The role demands excellent communication skills and a deep understanding of virtualized/cloud infrastructure.
Summary Generated by Built In

We are looking for an expert software engineer who excels at solving customer problems with virtual GPU (vGPU) and Omniverse products. Do you have experience developing software in virtualized or cloud infrastructure? We need someone who will bridge the gap between the NVIDIA Enterprise Experience (NVEX) support team and the product development groups. An ideal candidate is highly technical who can both solve sophisticated graphical workloads as well as develop key software improvements and tools for NVIDIA vGPU and Omniverse products.

The individual will get to work with many NVIDIA teams and customers, so superb interpersonal and communication skills are critical. You must be able to understand, root cause, and resolve complex issues, and provide detailed explanations of what you find. Along with the NVEX support responsibilities, this role enables you to develop software for the same products you support! You can make a difference in both the current customer experience as well as the product's future!

What you will be doing:

  • Provide direct support to our NVIDIA Enterprise customers and work to answer questions, reproduce, resolve, or bring up customer issues to engineering

  • Triage customer issues involving NVIDIA vGPU and Omniverse products

  • Take ownership and drive critical customer issues to resolution. Collaborating with engineering to document, recreate and tackle issues

  • Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including vGPU, Omniverse, and AI Enterprise technologies

  • Occasional work on weekends and holidays to support customers

What we need to see:

  • BS in Computer Science, Electrical Engineering, Computer Engineering, related field, or equivalent experience

  • 6+ years experience developing with C/C++

  • Proficient in Python programming with the ability to develop scripts and build custom tools

  • 6+ years demonstrated ability within the customer support escalation path, or providing direct customer-facing support

  • Experienced in Microsoft Windows OS and Linux system administration

  • Deep Linux OS knowledge and hands-on triage, and very comfortable working in various other hypervisor environments such as VMWARE, Citrix, Linux with KVM, Microsoft Windows Server and Azure Stack HCI

  • Deep understanding of VDI solutions

  • Excellent communication, verbal and written English skills

Ways to stand out from the crowd:

  • Professional graphics solutions or desktop virtualization, familiarity with rendering, encoding, decoding

  • Containerized solutions experience with deep knowledge of Docker and/or Kubernetes

  • Clustering or HPC data center technologies including Upper Layer Protocols (i.e., NCCL, MPI)

  • Artistic skills (digital or otherwise) and experience with PIXAR's USD (Universal Scene Description)

  • Experience with C++, CUDA, Vulkan, OpenGL, or DCC tools such as 3dsmax, Maya, Revit, Blender, Substance

The base salary range is 132,000 USD - 258,750 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.

Top Skills

C
C++
Python
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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