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Design Engineering Manager

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Onsite

Design Engineering Manager

Connectpro Management Consultants

Design Engineering Manager

Skills

PythonMachine LearningAI

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

18 September 2026

What they need


  • Lead and mentor a team of RTL design engineers across multiple SoC projects.
  • Own the design execution from specification to RTL handoff, ensuring functionality, quality, and schedule adherence.
  • Define and implement RTL design methodologies, coding guidelines, and best practices for consistency and reuse.
  • Collaborate with architecture, verification, DFT, and physical design teams to ensure clean integration and design closure.
  • Drive timing, power, and area optimization in collaboration with backend and architecture teams.
  • Review specifications, micro-architecture, and RTL implementation for completeness and quality.
  • Manage project planning, tracking, and reporting for design deliverables and milestones.
  • Champion AI- and automation-driven improvements in design quality, linting, and performance validation.
  • Contribute to recruitment, mentoring, and capability building within the design organization.
  • Promote a culture of technical excellence, ownership, and collaboration across teams.

Requirements/Qualifications:

  • Bachelors or Masters degree in Electrical/Electronics Engineering or related discipline.
  • 12-15 years of relevant industry experience, including 2-3 years in technical or people leadership roles.
  • Strong hands-on experience in RTL design (Verilog/VHDL/SystemVerilog) and SoC/Subsystem development.
  • Solid understanding of ARM CPU-based architectures, AMBA interconnects (AXI, AHB, APB), and PCIe protocols.
  • Proficiency in Synthesis, STA, and timing closure flows.
  • Experience with linting, CDC, DFT, and low-power design techniques.
  • Familiarity with C/C++ modeling and design validation environments preferred.
  • Working knowledge of AI/ML-based design optimization or automation scripting (Python/TCL/Perl) is a plus.
  • Excellent analytical, communication, and cross-functional collaboration skills.
  • Highly self-driven, detail-oriented, and committed to design quality and schedule delivery.

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