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

Key technologies and capabilities for this role

GoPythonKubernetesCI/CDJenkinsGitLabGitHubDistributed SystemsK8s OperatorsHPCAI InfrastructureGPUsConnectXBlueField NICs

Questions & Answers

Common questions about this position

What is the salary for this Senior Kubernetes Software Engineer position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What skills are required for this Senior Kubernetes Software Engineer role?

Candidates need a BSc in Computer Science or equivalent, 5+ years of software development experience with Go and Python, strong hands-on experience with the K8s ecosystem, familiarity with CI/CD tools like Jenkins, GitLab, or GitHub, and proven ability to design, debug, and maintain complex distributed systems.

What is the company culture like at NVIDIA for this team?

It's a fast-paced, collaborative environment with a dynamic team developing high-performance computing infrastructure, featuring forward-thinking and hardworking people who value creativity and autonomy.

What makes a candidate stand out for this position?

Experience building K8s operators/controllers and background in HPC or AI infrastructure technologies will help you stand out.

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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