Software Platform Support Engineer - GPU Cloud

Posted 3 Days Ago
Be an Early Applicant
Hiring Remotely in CA
Remote
Junior
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves providing Tier 1 support for complex cloud platforms, troubleshooting customer issues, documenting solutions, and collaborating with engineering teams. Responsibilities include bug reporting, tool building for customer support, understanding user workloads, and participating in on-call rotations for production systems.
Summary Generated by Built In

The NVIDIA DGX Cloud organization is looking for passionate software support engineers to partner closely with our internal customers to support them on our internal platforms. This partnership requires you to gain a deep understanding of the customer needs, how their application(s) work, assist them in troubleshooting issues, and create documentation to make it easier for users to troubleshoot issues themselves. The support you provide will help our users have a better experience and help shape our platform. 

 

We expect you to have knowledge of supporting cloud-based deployments across compute, storage and networking environments. 

 

What will you be doing:

  • Partner with multiple internal teams to provide Tier 1 support for complex cloud platforms

  • Triage/investigate root cause of customer issues and escalate as needed 

  • File bugs and report issues while working closely with the Site Reliability team

  • Build tooling to improve customer support process and visibility

  • Document best practices, solutions, knowledge base articles, how to’s, and blog posts 

  • Deeply understand user workloads and use cases 

  • Partner with multiple internal teams to give feedback to engineering teams and develop solutions to aid in their success

  • Be part of an on call rotation to support production systems

 

What we need to see:

  • BS/MS degree in Computer science or related areas (or equivalent experience)

  • 2+ yrs of experience with supporting distributed software systems

  • 2+ yrs of experience supporting end user software platforms 

  • 2+ yrs of experience with Linux

  • Experience with Kubernetes as well as experience with AWS, Azure, OCI, and GCP 

  • Background of Infrastructure, Networking, Storage, and DevOps scripting/tooling

  • Understanding of data storage technologies (databases, file, block, blob)

  • Willingness to become an expert in DGX Cloud

  • Customer Service/Support Experience

  • Willingness to work up and down the stack as well as across multiple teams 

  • Strong skills in troubleshooting with outstanding communication skills 

 

Ways to stand out from the crowd:

  • SLURM or HPC previous experience

  • Machine Learning and/or AI experience (self-taught is great!)

  • A strong drive to work with internal customers and make them successful

  • A drive to improve process with strong organizational skills  

 

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.

The base salary range is 76,000 USD - 172,500 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

AWS
Azure
GCP
Kubernetes
Linux
Oci
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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