Sr. Chassis/OS Software Engineer

Key Responsibilities:

    Chassis and Operating System Development:

• Design and develop software components for the chassis and operating system of our AI accelerator platform, ensuring robustness, scalability, and performance.
• Implement low-level system software in C/C++14, assembly language, and Golang, leveraging best practices for efficiency and optimization.
• Architect and optimize container-based deployments using Kubernetes, Docker, and other containerization technologies.
• Develop and maintain micro-services architecture, ensuring seamless communication and interaction between components.

    Networking Architecture:

• Design and implement networking architecture tailored to the unique requirements of datacenter environments.
• Develop networking protocols, services, and APIs to facilitate communication and data transfer within distributed systems.
• Ensure security, reliability, and scalability of networking solutions, considering factors such as latency, bandwidth, and fault tolerance.

    Collaboration and Cross-Functional Integration:

• Work closely with software architects, hardware engineers, and other cross-functional teams to ensure seamless integration of chassis and operating system components with overall platform architecture.
• Collaborate with QA engineers to develop test plans, automate testing processes, and ensure high-quality software releases.
• Provide technical guidance and mentorship to junior engineers, fostering a culture of learning and innovation.

 Qualifications:

• Bachelor's or Master’s degree in computer science, Electrical Engineering, or related field.
• 5+ years of experience in software and systems engineering roles, with a focus on chassis and operating system development.
• Proficiency in C/C++14, Golang, and assembly language programming.
• Hands-on experience with Kubernetes, gRPC, micro-services, containers, and virtualization technologies.
• In-depth knowledge of networking architecture and protocols, particularly in datacenter environments.
• Excellent problem-solving skills, with the ability to analyze complex systems and design scalable solutions.
• Effective communication skills and ability to collaborate in a fast-paced, team-oriented environment.

Nice to Have:

     Kernel and Driver Development:

• Lead kernel and driver development efforts, including device driver implementation and integration with the operating system.
• Collaborate with hardware engineers to define and implement hardware abstraction layers (HALs) and device drivers for our AI accelerator hardware.
• Optimize kernel-level performance and resource management for maximum efficiency and throughput.