NVIDIA’s Networking business unit is looking for an experienced, high-energy Software Engineering Manager to lead a software development team within our Networking Devices Management Tools group. The group builds mission-critical tools used worldwide by leading technology companies and open-source communities to configure, manage, and debug NVIDIA’s cutting-edge networking hardware—the infrastructure powering NVIDIA AI supercomputers.
In this role, you will manage and develop a team of talented engineers while remaining closely connected to the technology. Working with the group’s leadership and peer managers, you will guide detailed software design and drive the delivery of reliable, scalable, cross-platform solutions in a fast-paced and highly collaborative environment.
What you’ll be doing:
Lead, mentor, and grow a high-performing software development team, including hiring, onboarding, performance management, feedback, and career development.
Own the team’s priorities and execution within the group roadmap, driving projects from provided system architecture and requirements through detailed software design, implementation, testing, deployment, and maintenance.
Provide technical and design leadership for high-performance C++ and Python management tools that interact with NVIDIA networking devices across Linux and Windows.
Drive engineering excellence through design and code reviews, automation, testing, release practices, quality standards, and the effective adoption of AI-assisted development tools.
Collaborate with the group’s leadership, peer teams, hardware, firmware, QA, product, and program-management partners to manage dependencies, resolve risks, and deliver cross-functional initiatives.
What we need to see:
BSc or MSc in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
8+ overall years of hands-on software development experience building complex, production-quality software, with strong proficiency in C++, Python, object-oriented design, Linux, Git, debugging, and modern development practices.
3+ years of software engineering management experience, including responsibility for people development, performance management, and successful project delivery.
Proven ability to translate system architecture and ambiguous requirements into detailed software designs and actionable execution plans while managing priorities, risks, dependencies, and delivery.
Excellent leadership and communication skills, with a proactive and collaborative approach and the ability to influence stakeholders across teams and organizational levels.
Ways to stand out from the crowd:
Experience developing software for networking devices, embedded systems, hardware-management tools, or data-center infrastructure.
Knowledge of networking technologies, device configuration, telemetry, diagnostics, or hardware-debugging workflows.
Experience leading the development of cross-platform software for Linux and Windows.
Experience managing geographically distributed teams and contributing to large cross-organizational programs.
Demonstrated success improving engineering productivity, development processes, automation, or AI-assisted software development workflows.
Skills Required
- BSc or MSc in Computer Science, Computer Engineering, or related field, or equivalent experience
- 8+ years hands-on software development building complex, production-quality software
- 3+ years software engineering management experience including hiring, onboarding, performance management, and project delivery
- Strong proficiency in C++, Python, object-oriented design, Linux, Git, debugging, and modern development practices
- Proven ability to translate system architecture and ambiguous requirements into detailed software designs and execution plans
- Excellent leadership and communication skills with ability to influence cross-functional stakeholders
- Experience providing technical and design leadership for cross-platform (Linux and Windows) management tools
- Experience developing software for networking devices, embedded systems, hardware-management tools, or data-center infrastructure
- Knowledge of networking technologies, device configuration, telemetry, diagnostics, or hardware-debugging workflows
- Experience managing geographically distributed teams and contributing to large cross-organizational programs
- Proven success improving engineering productivity, development processes, automation, or AI-assisted development workflows
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
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.”
