Software Engineer, DOCA at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Networking, Cloud ComputingIndustries

Requirements

B.Sc. (or equivalent experience) in computer science/software engineering
3+ years’ confirmed experience of Programming C/C++
3+ years’ confirmed experience in Linux environment and tools
Experience with Networking Protocols mainly Ethernet, and security protocols
Experience with virtualization technologies
Strong analytical, debugging, and problem-solving skills
Knowledge of computer architecture and operating systems
Experience in performance optimizations

Responsibilities

Design and develop the next-generation technology in network acceleration
Work with best-in-class technical leaders in this domain
Engage with customers and architects to understand the requirements and derive the software design accordingly
Collaborate with other engineering teams that develop the upper layers applications like virtual switches (OVS, VPP, and etc.) and lower layers like driver, kernel, FW, and HW

Skills

Key technologies and capabilities for this role

C/C++LinuxNetworking ProtocolsEthernetSecurity ProtocolsVirtualizationComputer ArchitectureOperating SystemsPerformance OptimizationDPDKOVSLinux Kernel

Questions & Answers

Common questions about this position

What experience is required for the Software Engineer, DOCA position?

Candidates need a B.Sc. (or equivalent) in computer science/software engineering, 3+ years of confirmed experience programming in C/C++, 3+ years in Linux environment and tools, experience with Networking Protocols mainly Ethernet and security protocols, experience with virtualization technologies, strong analytical, debugging, and problem-solving skills, and knowledge of computer architecture and operating systems.

What are the standout qualifications for this role?

Experience working with AI empowered dev tools, knowledge and experience with designing SDKs, Open Source Software Contributor to relevant projects (OvS, DPDK, Linux Kernel), a positive demeanor, a growth mindset, and excellent interactions with colleagues will help you stand out.

What is the compensation or salary for this position?

This information is not specified in the job description.

Is this a remote position or what is the location policy?

This information is not specified in the job description.

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

NVIDIA has forward-thinking and hardworking people, values creative and autonomous individuals, fosters a diverse work environment, and is committed to being an equal opportunity employer without discrimination.

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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