SOC Design Manager

Title-System on Chip -Design Manager

Experience- 12-17 Years

Location: Hyderabad

Type: Full-Time, On-Site

About the Role

As Senior SoC Design Manager, you will lead the design and development of Azimuth AIs next-generation mixed-signal, ARM-based SoCs. You will build and guide a world-class engineering team in Hyderabad and play a critical role in shaping our silicon roadmap for embedded AI compute. Youll work at the intersection of hardware, software, and AI, driving end-to-end SoC execution from concept and architecture through tape-out and production. This is a high-impact, senior leadership role for someone who thrives on both technical excellence and organizational leadership.

Responsibilities

• Lead the design, development, and delivery of mixed-signal SoCs integrating ARM cores, analog interfaces, and custom AI acceleration IP.
• Manage and mentor a talented team of design engineers, fostering innovation, ownership, and collaboration.
• Work cross-functionally with system architects, firmware, and software teams to achieve true hardwaresoftware co-design for software-defined flexibility.
• Drive SoC design flow optimization across RTL, verification, physical implementation, and silicon validation.
• Partner with EDA vendors, foundries, and IP suppliers to deliver first-pass silicon success on advanced technology nodes.
• Contribute to Azimuth AIs long-term silicon and embedded AI compute roadmap.
• Shape design methodologies, quality standards, and technical culture within the hardware engineering organization.

Qualifications

• Bachelors or Masters degree in Electronics, Electrical Engineering, Computer Engineering, or related discipline.
• 12+ years of SoC/ASIC design experience with at least 5 years of leadership or management roles.

Required Skills

• Proven track record of mixed-signal SoC tape-outs ideally in embedded, automotive, or AI-driven applications.
• Deep understanding of ARM-based architectures, RTL design, IP integration, and analog/digital co-design.
• Strong knowledge of verification, timing closure, and silicon bring-up methodologies.
• Experience integrating AI accelerators, NNEs, or domain-specific compute IPs.
• Excellent leadership, communication, and collaboration skills across global, cross functional teams.