Senior Customer Success Engineer - DGX Cloud at NVIDIA

California, United States

Apply with AI Apply

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Cloud Computing, Artificial Intelligence, AI & Machine Learning, Hardware Design, Autonomous Vehicles, Chip ManufacturingIndustries

Requirements

Candidates must possess a BS/MS degree in Computer Science or a related field, or equivalent experience, along with over 12 years of experience in designing and building distributed systems and infrastructure. A demonstrated ability to write code in Golang, Java, C, C++, Python, or Rust is required, as is experience with Kubernetes and/or distributed task scheduling. A strong background in Infrastructure, Networking, Storage, and DevOps scripting/tooling, along with experience deploying AI/ML workloads and an understanding of data storage technologies (databases, file, block, blob), are necessary. Candidates should also demonstrate an ability to reach cross-functional consensus without all the details and possess a strong bias towards action and the ability to drive to resolution cross-functionally. Expert knowledge with cloud-based deployments across compute, storage, and networking environments is expected, along with a strong understanding of application portability between CSPs, NCPs, and on-premise solutions. Familiarity with open source technologies for cloud deployments is also needed. A strong AI and/or machine learning background is a plus.

Responsibilities

The Senior Customer Success Engineer will partner closely with internal customers to understand their needs and applications, assisting them in onboarding to DGX Cloud platforms and developing best practices for success in a cloud environment. They will provide guidance, give feedback to engineering and product teams, and develop solutions to aid in customer success. The role involves informing partner teams of standard methodologies and helping implement best practices for cloud-based solutions, gaining a deep understanding of how NVIDIA develops across multiple verticals. This position requires presenting to internal stakeholders and NVIDIA leadership on roadmaps, vision, and demos, and advocating for customer needs across the organization by partnering closely with Engineering, Product, Program, Sales, and Operations. The engineer will bring the voice of the customer to all aspects of their work and recommend approaches to engineering teams to expedite implementation for customers.

Skills

Cloud Computing

Compute

Storage

Networking

Application Portability

Open Source Technologies

Machine Learning

Workload Performance

Customer Success

Best Practices

Cloud Deployments

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

Land your dream remote job 3x faster with AI

Try Jobo Free