Majestic Labs ai · 2 months ago
SOC Architect
Los Altos, CA
Full-time
Onsite
Senior Level
6+ years expMajestic Labs ai is seeking a seasoned SoC Architect to lead the design and integration of the management subsystem within their AI acceleration platform. This role involves defining and driving SoC-level architecture while collaborating with various teams to ensure a cohesive design that bridges silicon and software seamlessly.
Artificial Intelligence (AI)Software
Responsibilities
Define and own the management subsystem architecture for Majestic’s AI SoC
Integrate ARM cores (CSS / Cortex-A) and associated subsystems for control, configuration, and monitoring
Architect PCIe connectivity and high-bandwidth IO to ensure robust host and device communication
Specify and integrate DDR/LPDDR interfaces and memory management structures
Design peripheral and control interfaces, including SPI, I2C, UART, GPIO, and system control buses
Develop scheduler and interrupt schemes, driver-facing control paths, and configuration frameworks
Integrate and optimize debug and trace infrastructures (CoreSight, profilers, diagnostic tools)
Collaborate with RTL, verification, firmware, and board teams to ensure seamless hardware-software co-design
Drive tradeoffs and decisions to achieve performance, power, and area targets across the SoC
Qualification
Required
Bachelor's or Master's in Electrical Engineering, Computer Engineering, or related field
6+ years of experience in SoC architecture and design, with emphasis on management or control subsystems
Proven experience with ARM core integration, PCIe, DDR/LPDDR, and peripheral interfaces (SPI, I2C, UART)
Strong understanding of SoC design flows, memory hierarchy, and interconnect fabrics
Hands-on experience in control path design, driver interfaces, and interrupt management
Solid communication and teamwork skills, with the ability to lead cross-functional architectural discussions
Preferred
Experience with AI/ML acceleration hardware or high-performance compute SoCs
Knowledge of board-level integration and hardware-software co-validation
Familiarity with silicon prototyping, emulation, or FPGA-based validation
Expertise in low-power design and high-bandwidth interconnect architectures
Deep experience with debug tools (CoreSight, trace analyzers, profilers) and performance instrumentation
Company
Majestic Labs ai
Majestic Labs ai builds power-efficient AI servers for the largest and most advanced AI workloads.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$100MKey Investors
Bow Wave Capital ManagementLux Capital
2025-11-10Series A· $90M
2024-01-01Seed· $10M
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