Software Development Engineer – Storage Software Team at NVIDIA

Ra'anana, M, Israel

NVIDIA Logo
Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Cloud StorageIndustries

Requirements

  • Bachelor’s degree in Computer Science or a related technical field
  • 2–5 years of experience in C/C++ programming
  • Demonstrated ability to quickly learn new technologies and adapt to changing environments
  • Excellent interpersonal and written communication skills
  • Genuine passion for networking, operating systems, and technology innovation

Responsibilities

  • Design and implement features for both user-space and kernel-space storage applications
  • Contribute to the evolution of brand-new storage solutions, applying the latest advancements in cloud networking and hardware acceleration
  • Maintain and improve Linux kernel storage drivers, ensuring efficient performance and reliability
  • Collaborate with global partners and customers, including major enterprises, to provide technical expertise and support
  • Drive performance tuning and usability improvements to deliver robust, scalable solutions

Skills

Key technologies and capabilities for this role

C++CLinux KernelStorage DriversKernel DriversUser-space DriversNetworkingTCPRDMAReal-Time SystemsCloud NetworkingHardware Acceleration

Questions & Answers

Common questions about this position

What experience level is required for this Software Development Engineer role?

The role requires a Bachelor’s degree in Computer Science or related field and 2–5 years of experience in C/C++ programming.

What are the key skills needed for this position?

Required skills include C/C++ programming, ability to quickly learn new technologies, excellent communication skills, and passion for networking, operating systems, and technology innovation.

What experience makes a candidate stand out for this role?

Candidates stand out with hands-on experience in driver development for kernel or user-space, real-time systems, networking protocols like TCP/RDMA, and storage protocols like NVMe, especially on NVIDIA's BlueField™ platform.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

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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