Device Engineer

Job Type : Full-time Band : E2

Job Description : As a Device Engineer, you will play a pivotal role in setting up, configuring, and managing the hardware and software environments for cutting-edge device platforms. This includes platform bring-up, ensuring infrastructure readiness, and deploying AI services. You will work on server-grade and embedded systems, leveraging advanced virtualization and containerization technologies to build scalable, high-performance solutions.

Key Responsibilities : 1. Lab and Work Environment Setup : - Design and establish work environments for testing and development. - Ensure the availability of necessary hardware and software resources. 2. OS Platform Readiness : - Install, configure, and maintain Linux-based operating systems, such as Ubuntu. - Develop and customize Board Support Packages (BSPs) and Network Support Packages (NSPs) for specific hardware platforms. 3. AI Service Deployment : - Deploy and manage AI services using container orchestration tools like Docker and Kubernetes. - Optimize services for performance and reliability in virtualized and microservices-based environments. 4. Platform Infrastructure Stack Bring-up : - Integrate hardware and software components to create a cohesive platform. - Set up and validate the platform stack, ensuring readiness for development and production deployment. 5. Data Center and Network Environment Management : - Work within data center environments, handling networking and switch configurations. - Ensure the infrastructure supports the seamless operation of AI and other platform services. Required Skills and Qualifications : Operating Systems and Software Development : - Expertise in Linux/Ubuntu OS, with experience in BSP and NSP development. - Processor Platform Experience : - Familiarity with Intel, NVIDIA, and ARM processor-based platforms. Device Engineering

Expertise : - Hands-on experience with server-grade systems and embedded device engineering. Containerization and Orchestration : - Proficiency in VMware and Docker, including Docker Compose. - Strong understanding of Kubernetes (K8S, k3s, or RKE) and microservices environments. Data Center and Networking Knowledge : - Experience in data center deployments. - Understanding of network and switch environments to ensure seamless integration of platform infrastructure. Preferred Candidate Profile : - Proven experience in hardware-software integration and platform bring-up. - Strong problem-solving skills and the ability to work in a dynamic, fast-paced environment. - Excellent communication skills to collaborate with cross-functional teams.