Senior Software Kubernetes Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

B.Sc. in Computer Science or equivalent program
5+ years of hands-on experience in software development, preferably with Golang
Highly motivated with strong communication skills
Ability to work successfully with multi-functional teams, developers, and architects
Coordinate effectively across organizational boundaries and geographies
Strong self-initiative, independence, and flexibility to new technology
Deep understanding of network protocols, virtualization, and containers
Strong background in designing, implementing, and debugging complex software
Vast hands-on experience with Kubernetes or OpenStack ecosystems

Responsibilities

Design and implement new features to accelerate Network and Storage
Work closely with open source communities, participate in the relevant working groups
Work with different teams across NVIDIA

Skills

Key technologies and capabilities for this role

KubernetesGolangOpenStackSR-IOVDPDKROCEKubernetes OperatorsCSICNI

Questions & Answers

Common questions about this position

What experience is required for the Senior Software Kubernetes Engineer role?

Candidates need a B.Sc. in Computer Science or equivalent, 5+ years of hands-on software development experience preferably with Golang, deep understanding of network protocols, virtualization, and containers, strong background in designing, implementing, and debugging complex software, and vast hands-on experience with Kubernetes or OpenStack ecosystems.

What are some ways to stand out as a candidate for this position?

Experience with open source projects, background with SR-IOV, DPDK, ROCE technologies, and experience in developing Kubernetes Operators, CSI plugins, and CNI Plugins will help you stand out.

What does the role involve at NVIDIA Networking?

The role involves designing and implementing new features to accelerate Network and Storage, working closely with open source communities and participating in relevant working groups, and collaborating with different teams across NVIDIA.

What personal qualities is NVIDIA looking for in candidates?

NVIDIA seeks highly motivated individuals with strong communication skills, the ability to work with multi-functional teams, developers, and architects, effective coordination across organizational boundaries and geographies, strong self-initiative, independence, and flexibility to new technology.

Is the salary or compensation specified for this position?

This information is not specified in the job description.

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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