About the role
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
Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
