Senior Software Engineer, Tools

Reposted 14 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and develop tools for NVIDIA products, focusing on coding, documentation, and collaboration with teams in an Agile environment. Requirements include experience in object-oriented programming and effective task prioritization.
Summary Generated by Built In

NVIDIA’s Networking business unit is looking for a top-tier, high-energy Senior Software Engineer to join our Networking Devices Management Tools group. We build the mission-critical tools used worldwide by tech giants and open-source communities to configure, manage, and debug NVIDIA’s cutting-edge networking hardware used as part of NVIDIA AI super computers. If you are highly motivated, love solving complex problems, and thrive in a fast-paced, dynamic environment – we want you with us!
 

What you'll be doing:

As a key player in our Agile team, you’ll design, implement, build, and own next-gen management tools specifically for our networking products.

  • Code Across the Stack: Write fast, maintainable, and generic code in C++ and Python (using OOP methodology) interacting closely with networking devices.

  • Code Across the Stack: Write fast, maintainable, and generic code in C++ and Python (using OOP methodology) interacting closely with networking devices. You’ll build cross-platform solutions supporting both Linux and Windows, leveraging cutting-edge AI tools (Cursor, Claude, etc.) to supercharge your development workflow.

  • Own & Deliver: Take features from architectural solutions to technical design, estimation, deployment, and testing.

  • Collaborate & Influence: Partner with multiple hardware and software dev teams across the Networking BU. You will represent the team and drive technical presentations across major cross-company projects.

  • Grow Continuously: Expand your technical capabilities in a high-octane team that never stands still.

What we need to see:

  • Foundation and Experience: BSc in Computer Science, Computer Engineering, or equivalent experience.  5+ years of hands-on software development experience.

  • Tech Stack: Excellent C++ and Python programming skills with strong OOP superpowers. Strong hands-on experience with Linux, Git, and VS Code

  • The Leadership Mindset: A proven ability to take initiative, lead initiatives, and push processes forward independently.

  • The Problem Solver: Creative thinking and strong investigative skills—someone who can take amorphous, high-level requirements and translate them into solid technical execution.

  • The Communication: A team player who communicates flawlessly and thrives in a dynamic, fast-paced environment.

Skills Required

  • BSc degree or equivalent experience in Computer Engineering, Computer Science, or related degree
  • Excellent C++ and Python programming skills
  • 5+ years of programming experience
  • Strong Object-Oriented Programming abilities
  • Excellent written and verbal communication 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

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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.”

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