Used Tools & Technologies
Not specified
Required Skills & Competences ?
Security @ 4 Ansible @ 4 Go @ 7 Kubernetes @ 4 Linux @ 4 Terraform @ 4 CI/CD @ 7 Algorithms @ 7 Data Structures @ 7 Distributed Systems @ 4 Cloud Computing @ 7 GPU @ 4Details
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years, fueled by great technology and amazing people.
Today, the company is driving into the unlimited potential of AI to define the next era of computing, where GPUs act as the brains of computers, robots, and self-driving cars.
Responsibilities
- Work as part of a small, dynamic team exploring innovative ways to simplify the development, deployment, and monitoring of GPU and DPU accelerated applications.
- Enable GPUs and DPUs as first-class resources in container orchestrators such as Kubernetes.
- Join the core group working on Cloud Native technologies to improve NVIDIA accelerators in the Kubernetes environment.
- Collaborate with engineering teams across NVIDIA for seamless software integration.
- Automate and optimize build, test, integration, and release processes for cloud-native applications.
- Efficiently multitask across different projects, addressing evolving priorities effectively.
Requirements
- BS/MS in Computer Science or related field (or equivalent experience).
- 8+ years of relevant work experience.
- Expert-level knowledge in systems programming languages (Go, C) with strong understanding of Data Structures and Algorithms.
- Strong knowledge of Container Orchestration Systems (Kubernetes) and Container Technology.
- In-depth experience with Unix/Unix-like kernel internals, particularly Linux.
- Hands-on automation experience with frameworks like Ansible and Terraform.
- Proven experience in setting up, maintaining, and automating continuous integration systems.
- Strong background in Cloud Computing and Distributed Software design and development.
- Understanding of performance, security, and reliability in complex distributed systems.
Ways to Stand Out
- Extensive experience with the Go programming language.
- Strong background with Gitlab, Argo, Flux, and other CI/CD systems.
- Significant hands-on experience with Containers and Kubernetes.
- Hands-on experience with container workload isolation and confidential computing.
NVIDIA offers highly competitive salaries and a comprehensive benefits package. For more details, visit www.nvidiabenefits.com.