Senior Kubernetes Software Engineer at NVIDIA

Ra'anana, M, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, High Performance Computing, Cloud ComputingIndustries

Requirements

BSc in Computer Science or equivalent program
5+ years of software development experience with Go and Python
Strong hands-on development experience with the K8s ecosystem
Familiarity with CI/CD tools such as Jenkins, GitLab, or GitHub
Proven ability to design, debug, and maintain complex distributed systems
Excellent communication skills and the ability to collaborate across teams and geographies
Self-starter with adaptability and eagerness to learn new technologies

Responsibilities

Design and develop scalable, cloud-native solutions to accelerate HPC and AI workloads using NVIDIA’s advanced technologies (GPUs, DPUs, ConnectX)
Contribute to NVIDIA’s AI supercomputing platforms
Collaborate with cross-functional teams to deliver new features and improve existing products
Support, maintain, and document robust software systems

Skills

Python

Kubernetes

CI/CD

Jenkins

GitLab

GitHub

Distributed Systems

K8s Operators

HPC

AI Infrastructure

GPUs

ConnectX

BlueField NICs

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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