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.

• 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.

• 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.

• 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.

• 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.

Recogni is an equal opportunity employer. We believe that a diverse team is better at tackling complex problems and coming up with innovative solutions. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.