System Architect - Hardware-Software Co-Design (AI Rack)

- Senior

Santa Clara, CA

About the position

At Auradine, you will join a talent-rich group of problem solvers and doers; in a culture that focuses on team, growth, innovation, and creativity. We are looking for a world-class System Architect to join our team and drive the hardware-software co-design of our next-generation AI rack. The ideal candidate will be a motivated self-starter who thrives in a highly technical environment and has a deep understanding of system architecture, spanning hardware, firmware, and cloud software.

Responsibilities

• Define and architect AI rack systems, integrating hardware, software, and networking components.
• Collaborate with silicon, firmware, and cloud software teams to optimize performance, power, and reliability.
• Develop system requirements and specifications covering compute, networking, and storage aspects.
• Lead hardware-software co-design efforts, ensuring efficient interaction between system components.
• Work on high-level system modeling and performance analysis.
• Provide technical leadership for system tray design, electrical, mechanical, and thermal considerations.
• Ensure compliance with industry standards and protocols such as SONiC, Redfish, OpenBMC, and cloud-native orchestration frameworks.
• Evaluate and select technologies, IP, and vendors to optimize system performance and cost.
• Collaborate with customers and partners to align on system requirements and integration strategies.

Requirements

• MS in Electrical Engineering, Computer Engineering, or related field.
• 10+ years of experience in system architecture, hardware-software co-design, or related fields.
• Deep understanding of SONiC, cloud software stacks, networking protocols, and system management interfaces like Redfish.
• Strong knowledge of compute tray design, electrical, mechanical, and thermal considerations in data center environments.
• Experience with AI workloads, high-performance computing, and distributed systems.
• Expertise in system modeling, performance analysis, and tradeoff studies.
• Strong communication skills and ability to write detailed architecture specifications.
• Ability to thrive in a fast-paced startup environment and drive innovation.

Nice-to-haves

• Experience in designing and optimizing AI or high-performance computing (HPC) infrastructure.
• Familiarity with power management, cooling strategies, and hyperscale data center operations.
• Knowledge of hardware accelerators (GPUs, TPUs, FPGAs) and their integration into AI workloads.

Benefits

• Diversity and inclusion initiatives.
• Equal opportunity employer.
• Commitment to working with qualified individuals with physical or mental disabilities.