Senior Customer Success Engineer - DGX Cloud

NVIDIA•Us, CA

12d

About The Position

The DGX Cloud organization is looking for passionate engineers to partner closely with our internal customers and assist them in onboarding to our platforms! This partnership requires you to gain a deep understanding of the customer needs, how their application(s) work, and assist them in developing best practices enabling success in a cloud environment! The information you provide will help shape our platform to better the success of our customers both internally and externally. We expect you to have expert knowledge with cloud-based deployments across compute, storage and networking environments. Along with this, you need a strong understanding of application portability between CSPs, NCPs, on premise, and what it takes to simplify application requirements in order to do this well. You should also be familiar with open source technologies that can assist with cloud deployments and recommend approaches to the larger engineering teams in order to expedite implementation for our customers. A strong AI and/or machine learning background with the ability to improve workload performance is a plus. 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. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us.

Requirements

BS/MS degree in Computer science or related areas (or equivalent experience)
12+ yrs of experience with designing and building distributed systems and infrastructure
Demonstrated ability to write code in Golang, Java, C, C++, Python, or Rust
Experience with Kubernetes and/or distributed task scheduling
Strong background of Infrastructure, Networking, Storage, and DevOps scripting/tooling
Experience deploying AI/ML workloads
Understanding of data storage technologies (databases, file, block, blob)
Demonstrated ability to reach cross-functional consensus without all the details
Strong bias towards action and ability to drive to resolution cross-functionality

Nice To Haves

Strong background in optimization of AI workloads
Knowledge of software interface design for less technical end-users
Experienced, persuasive and effective presentation skills (written and verbal)
Demonstrated skills in leadership, communication, coaching, analysis, problem solving and short/long term planning
Excellent interpersonal and organizational skills and ability to handle diverse situations

Responsibilities

Partner with multiple internal teams to fully understand their workloads from both a technology and business perspective, provide guidance, give feedback to engineering and product teams, and develop solutions to aid in their success
Inform partner teams of standard methodologies, and help implement best practices, for cloud based solutions
Gain deep understanding of how NVIDIA develops across multiple verticals (autonomous vehicles, chip manufacturing, HW design, AI, etc.)
Present to internal stakeholders and NVIDIA leadership on roadmaps, vision, & demos
Advocate for customer needs (both internal and external) across the organization – partnering closely with Engineering, Product, Program, Sales, and Operations
Bring the voice of the customer to everything that you do