Platform Engineer: Kubernetes
SupabaseFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates must possess a B.Sc., M.Sc., or Ph.D. in Computer Science or a related field, or equivalent experience. A minimum of 6 years of experience in web development (both client and server) is required, along with proven experience with Kubernetes (K8s), including developing or maintaining operators and/or CSI plugins. At least 5 years of experience working in a Linux OS environment and experience scripting with Python, Bash, or similar are also necessary.
The Senior Software Engineer will maintain and develop Kubernetes operators and the Container Storage Interface (CSI) plugin. They will also develop a web-based solution for managing, operating, and monitoring distributed storage, and collaborate with other teams to define and implement new APIs.
Designs GPUs and AI computing solutions
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.