NVIDIA is seeking a Software Engineering Manager to lead a high-performing software engineering team developing advanced networking management tools that power the next generation of AI and Machine Learning infrastructure. In this role, you will drive execution across complex, cross-functional initiatives spanning software, networking, infrastructure, and system engineering teams. You will be responsible for delivering scalable, reliable, and high-performance management solutions that enable seamless operation of NVIDIA’s cutting-edge ML platforms at scale.
This is a highly visible leadership role requiring a combination of strong technical depth, organizational leadership, and execution excellence. You will influence architecture, product direction, engineering processes, and team growth while helping shape technologies at the forefront of AI infrastructure innovation.
What You’ll Be Doing:
- Lead and grow a team of software engineers developing next-generation networking management and orchestration tools
- Own execution and delivery of major cross-functional initiatives involving multiple engineering teams and stakeholders
- Drive technical strategy, architecture decisions, and long-term roadmap planning for networking management solutions
- Partner closely with software, networking, firmware, hardware, DevOps, and system architecture teams to deliver scalable and reliable solutions
- Establish engineering best practices, operational excellence, and high development standards across the team
- Mentor engineering leaders and senior engineers, fostering technical growth and leadership development
- Balance technical leadership with organizational execution in a fast-paced and rapidly evolving environment
- Provide hands-on technical guidance, debugging support, and architectural direction when required
What We Need to See:
- Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent practical experience
- 8+ overall years of software industry experience, including 3+ years managing software engineering teams
- Proven experience leading complex, large-scale software projects across multiple teams and disciplines
- Strong software development background in C/C++
- Demonstrated ability to drive execution, resolve ambiguity, and deliver high-quality products in fast-paced environments
- Strong system-level thinking and problem-solving skills
- Excellent communication, collaboration, and stakeholder management skills
- Proven ability to influence technical direction and organizational priorities
Ways to Stand Out from the Crowd:
- Experience with Linux, networking technologies, or distributed systems
- Experience building infrastructure, management, orchestration, or observability platforms
- Experience leading geographically distributed or multi-disciplinary engineering teams
- Background in AI/ML infrastructure, datacenter technologies, or high-performance computing environments
- Experience scaling organizations, mentoring managers or technical leaders, and driving organizational maturity
Skills Required
- Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience
- 8+ overall years of software industry experience
- 3+ years managing software engineering teams
- Strong software development background in C/C++
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.
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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.
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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.
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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.”
