What are the responsibilities and job description for the Manager, Software Engineering - DGX Cloud position at NVIDIA AI?
Job Requisition ID JR2024098
Job Category Engineering
Time Type Full time
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Seeking seasoned leader to manage a software engineering team for NVIDIA DGX Cloud Kubernetes (DGXC-K8s) organization, supporting internal and external clients. Be part of a groundbreaking team excelling in AI and cloud computing! We are building a world-class GPU cloud using the latest NVIDIA technologies, and built on top of Kubernetes. You will gain hands-on experience operating a platform that is on the forefront of emerging AI needs!
What Will You Be Doing
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 6, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Job Category Engineering
Time Type Full time
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Seeking seasoned leader to manage a software engineering team for NVIDIA DGX Cloud Kubernetes (DGXC-K8s) organization, supporting internal and external clients. Be part of a groundbreaking team excelling in AI and cloud computing! We are building a world-class GPU cloud using the latest NVIDIA technologies, and built on top of Kubernetes. You will gain hands-on experience operating a platform that is on the forefront of emerging AI needs!
What Will You Be Doing
- Partner with multiple internal teams to gather requirements, provide feedback to engineering teams, and develop solutions to aid in their success
- Develop, guide, and supervise a team of engineers to educate partner teams on standard methodologies for cloud-based solutions
- Gain a deep understanding of how NVIDIA develops across multiple verticals, including autonomous vehicles, chip manufacturing, hardware design, and AI
- Present to internal partners and NVIDIA leadership on roadmaps, vision, and demos
- Participate in open-source communities of software we use and build
- BS/MS degree in Computer Science or related areas (or equivalent experience)
- 10 overall years of experience in designing and building distributed software systems
- 4 years of experience in leading a team of engineers with varying talents across organizations
- Strong ability to write code in mainstream systems programming languages such as Golang, Java, C, C , or Rust
- Demonstrated ability to craft and implement maintainable APIs for consumers
- Experience with Kubernetes and/or distributed task scheduling
- Understanding of underlying Linux Kernel scheduling, memory management, and networking subsystems
- Understanding of infrastructure, networking, storage, and DevOps scripting/tooling
- Container orchestration experience (containerd, CRI-O, Docker)
- Familiarity with Identity and Access Management approaches and the ability to reach cross-functional consensus while dealing with ambiguity
- Experience in a Hyperscale Cloud Service Provider (public-facing or not)
- Experience in measuring and improving operational excellence
- Experienced, persuasive, and effective presentation skills (written and verbal)
- Demonstrated skills in leadership, communication, mentoring, analysis, problem-solving, and short/long-term planning
- Excellent interpersonal and organizational skills and the ability to handle diverse situations
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 6, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.