19 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Develop features and tools supporting NVIDIA Enterprise services, including NGC, Kubernetes and other container orchestrators, GPU-accelerated applications, and deep learning frameworks.
- Work with customers and internal users to improve the availability, reliability, and experience of NVIDIA servers, system software, containers, and NVIDIA GPUs.
- Own customer issues involving system software components, containers, deep learning frameworks, and cloud deployments from investigation through resolution.
- Research new GPU use cases involving emerging container technologies and deep learning frameworks.
- Analyze, communicate, troubleshoot, and resolve customer software, hardware, and operating system issues.
- Provide engineering assistance for Sev1 outages during one weekend per month.
Requirements
- Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent experience.
- At least 5 years of system software development and troubleshooting experience, preferably including customer-facing work.
- Strong computer science fundamentals and excellent knowledge of Python and scripting.
- Deep understanding of at least two of data centers, servers, distributed systems, virtualization, deep learning frameworks, containers, or hybrid cloud.
- Deep Linux knowledge and comfort working with Linux environments and Windows operating systems.
- Professional communication and interpersonal skills with strong analytical, problem-solving, self-motivation, flexibility, and teamwork abilities.
- Preferred experience developing, triaging, and debugging Linux, containers, and deep learning frameworks; working with distributed systems and container orchestrators; and performing system-level debugging and triage.
Benefits
- Comprehensive benefits package.
- Weekend on-call rotation of one weekend per month for Sev1 customer outages.
Tech Stack
Categories
Solutions Engineering
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.