Senior DGX Cloud AI Infrastructure Software Engineer at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

AI, Cloud Computing, TechnologyIndustries

Requirements

5+ years of experience in developing software infrastructure for large-scale AI systems, with a proven track record of impact
Expertise in software engineering with Kubernetes, including cluster operations, operator development, node health monitoring, and GPU resource scheduling
Familiarity with setting up cloud infrastructure environments (VMaaS, VPCs, RDMA, shared file-systems)
Proven ability to handle 3rd party API integrations, including communication with external teams, writing API clients, and improving integration reliability
Comfort in a fast-paced environment, with the ability to collaborate and debug integrations with external engineering teams
Strong technical knowledge, including proficiency in a systems programming language (preference for Go) and a solid understanding of software design patterns for stateful workflow orchestration
BS in Computer Science, Engineering, Physics, Mathematics, or a comparable degree or equivalent experience

Responsibilities

Work with the DGX Cloud Lepton Marketplace team to establish integrations with NVIDIA Cloud Partners, enabling global developers to easily access GPU-optimized virtual machines
Craft and implement IaaS API integrations, collaborating with external engineering teams to ensure reliable, scalable, and consistent connectivity across diverse cloud environments
Shape integration strategies, develop stateful workflow orchestration, and drive improvements in testing, observability, and automation to ensure high-quality, fault-tolerant solutions
Be responsible for developing the two-sided marketplace, including the integration of compute providers and crafting discovery and bidding experiences to match supply with demand

Skills

Kubernetes

Cluster Operations

Operator Development

Node Health Monitoring

GPU Resource Scheduling

Cloud Infrastructure

VMaaS

VPCs

RDMA

Shared File-Systems

API Integrations

IaaS

Workflow Orchestration

Observability

Automation

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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