NVIDIA is seeking an experienced Software Manager to lead the Cumulus Linux Software Verification Team. In this role, you will play a critical part in advancing Cumulus Linux, a leading networking operating system and a cornerstone of the AI Factory — the next-generation data center designed to power the training, fine-tuning, and deployment of AI models at scale. You will work closely with Cumulus Linux design and architecture teams while gaining deep insights into NVIDIA’s products and technologies.
What You’ll Be Doing:
- Manage, mentor, and guide a team of software developers.
- Oversee the design, implementation, and maintenance of scalable automation frameworks, while remaining hands-on with software development and debugging.
- Drive timely, high-quality feature delivery.
- Collaborate with global, cross-functional teams to identify, track, and resolve issues.
- Analyze customer-reported issues, identify test gaps, and ensure robust regression coverage.
- Work with continuous integration systems and regression tools.
- Foster a culture of innovation, quality, ownership, and accountability.
- Support team members with career development plans and achievable growth goals.
What We Need To See:
- B.S. degree (or equivalent experience) in Engineering, Computer Science, or a related field.
- 8+ overall years of experience in software development and testing.
- 3+ years in a leadership role managing software development teams, with proven success leading scrums and projects.
- Excellent communication, leadership, people management, and technical presentation skills.
- Strong technical expertise in problem-solving, design, coding, and debugging.
- Solid understanding of networking protocols.
- Strong programming skills in Python (or other languages).
- Hands-on experience with Linux.
- Ability to self-learn quickly and adapt to new technologies.
- Strong interpersonal skills, with the ability to motivate and inspire others.
Ways To Stand Out From The Crowd:
- Deep Linux and networking expertise.
- Significant experience in data center environments and cloud-native concepts.
- Proven knowledge in building and maintaining automation infrastructures.
- Familiarity with CI/CD methodologies and tools (Git, Gerrit, Jenkins, etc.).
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