Senior Software Engineer, DOCA HBN

Posted 2 Hours Ago
Be an Early Applicant
Tel Aviv, ISR
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and maintain networking offload and virtualization software, system software components, and data-forwarding functionality for Ethernet switching platforms. Design, test, debug, and deliver features involving Linux kernel and container networking, NFV, SDN, SmartNICs, and offload solutions. Lead large feature initiatives, collaborate with architects and QA, and independently own development from requirements through release and bug resolution.
Summary Generated by Built In

NVIDIA is a leader in computer graphics, PC gaming, accelerated computing, and AI. Within NVIDIA, the Networking Business Unit is building chips, systems, and software that power the most advanced data center and hyper-converged networks of today and tomorrow. The NVIDIA BlueField® data processing unit (DPU) and NVIDIA ConnectX® series of SmartNICs ignite outstanding innovation for modern data centers by offloading, accelerating, and isolating a broad range of sophisticated networking, storage, and security services.


We are looking for a highly motivated software engineer with experience in data forwarding technologies, Linux kernel and container networking, network functions virtualization (NFV), and related areas to join our team and work on innovative offload solutions. You will develop software for various networking offload and virtualization use cases as well as data forwarding on Ethernet switching platforms. You will use the latest software development tools and techniques and gain extensive knowledge of modern data center architectures and workload acceleration.

 

What you’ll be doing:

  • Design, develop, test, and maintain new functionality and improvements to existing functionality related to offloading various networking services.
  • Design, develop, test, and maintain system software components related to networking.
  • Work on data forwarding functionality on Ethernet switching platforms.
  • Lead and guide cross-functional teams on large feature development activities.
  • Collaborate with team members, architects, QA, and Support teams on feature definition, development, release, and bug fixing.

 

What we need to see:

  • B.Sc. or M.Sc. degree in Computer Engineering, Computer Science, or a related field (or equivalent experience).
  • A minimum of 5+ years of software development experience in areas such as data forwarding, NFV, SDN, kernel and container networking, SmartNICs, and offload solutions.
  • Strong and validated experience in C programming.
  • Strong technical abilities, problem-solving, design, coding, and debugging skills.
  • Ability to lead feature development, take full ownership of tasks from A-Z, and deliver independently with minimal supervision.
  • Quickly understand new requirements and technologies and swiftly prototype and implement solutions.

 

Ways to stand out from the crowd:

  • Experience in virtualized networking and SRIOV, and packet processing using OpenVSwitch.
  • Background in Linux kernel networking internals.
  • Knowledge of routing and control plane technologies such as EVPN, Segment Routing, PIC, etc.
  • Participation in the open-source community.
  • Python, C++ and Rust programming skills.

 

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Skills Required

  • Bachelor’s or master’s degree in Computer Engineering, Computer Science, or a related field, or equivalent experience
  • 5+ years of software development experience in data forwarding, NFV, SDN, kernel and container networking, SmartNICs, or offload solutions
  • Strong, validated experience in C programming
  • Strong technical, problem-solving, design, coding, and debugging skills
  • Ability to lead feature development and independently own tasks from start to finish
  • Experience with virtualized networking and SR-IOV
  • Packet processing using Open vSwitch
  • Linux kernel networking internals
  • Routing and control-plane technologies such as EVPN, Segment Routing, and PIC
  • Open-source community participation
  • Python, C++, and Rust programming skills

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

Similar Jobs

Riskified Logo Riskified

Software Engineering Manager

Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
Hybrid
Tel Aviv, ISR
680 Employees

Riskified Logo Riskified

Partnership Manager

Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
Hybrid
Tel Aviv, ISR
680 Employees

Navan Logo Navan

Senior Automation Engineer

Fintech • Information Technology • Payments • Productivity • Software • Travel • Automation
Easy Apply
Hybrid
Tel Aviv, ISR
3300 Employees

Navan Logo Navan

Senior Android Engineer

Fintech • Information Technology • Payments • Productivity • Software • Travel • Automation
Easy Apply
Hybrid
Tel Aviv, ISR
3300 Employees

Similar Companies Hiring

Unusual Machines, Inc. Thumbnail
Hardware • Robotics
Orlando, FL
300 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
33 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
65 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account