[Remote] Senior Customer Success Engineer - DGX Cloud at NVIDIA

California, United States

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

Skills

Key technologies and capabilities for this role

Cloud ComputingComputeStorageNetworkingApplication PortabilityOpen Source TechnologiesAIMachine LearningWorkload PerformanceCustomer SuccessBest PracticesCloud Deployments

Questions & Answers

Common questions about this position

What experience level is required for this Senior Customer Success Engineer role?

The role requires 12+ years of experience with designing and building distributed systems and infrastructure.

What programming languages should I know for this position?

You need demonstrated ability to write code in Golang, Java, C, C++, Python, or Rust.

What key technical skills are must-haves for this job?

Required skills include experience with Kubernetes and/or distributed task scheduling, strong background in Infrastructure, Networking, Storage, and DevOps scripting/tooling, and deploying AI/ML workloads.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What makes a candidate stand out for this role?

Stand out with a strong background in optimization of AI workloads, knowledge of software interface design for less technical end-users, experienced presentation skills, and demonstrated skills in leadership, communication, coaching, analysis, problem solving, and planning.

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.

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