The Role
Lead global backend engineering for SoC and MCU programs from RTL to GDS, ensuring on-time tape-out meeting PPA targets. Scale distributed teams, standardize flows and methodologies, enable advanced-node signoff, partner with foundries and EDA vendors, and drive metrics-based execution and quality across concurrent programs.
Summary Generated by Built In
The Senior Director, Physical Design & Backend Engineering is accountable for end-to-end backend execution across HPC SoC and MCU programs, including implementation, signoff, and convergence from RTL to GDS.
This role leads globally distributed engineering teams and ensures delivery of high-quality silicon on schedule, meeting defined power, performance, and area (PPA) targets. The role operates at the intersection of execution, technology enablement, and organizational leadership, driving consistency, scalability, and reliability across multiple sites and concurrent programs.
What you'll do
1. End-to-End Backend Execution
• Own full lifecycle delivery from RTL through physical implementation, signoff, and tape-out.
• Ensure predictable execution, design closure, and milestone adherence across all programs.
• Drive first-pass silicon success through robust methodologies and execution discipline.
• Own full lifecycle delivery from RTL through physical implementation, signoff, and tape-out.
• Ensure predictable execution, design closure, and milestone adherence across all programs.
• Drive first-pass silicon success through robust methodologies and execution discipline.
2. Global Team Leadership
• Lead and scale large, geographically distributed backend engineering teams.
• Establish clear accountability, performance standards, and delivery ownership across sites.
• Build organizational capability to support multiple concurrent SoC and MCU programs.
• Lead and scale large, geographically distributed backend engineering teams.
• Establish clear accountability, performance standards, and delivery ownership across sites.
• Build organizational capability to support multiple concurrent SoC and MCU programs.
3. PPA and Quality Accountability
• Own delivery against defined power, performance, and area (PPA) targets.
• Drive continuous improvement in cost, quality, and engineering efficiency.
• Ensure adherence to quality standards, signoff criteria, and validation requirements.
• Own delivery against defined power, performance, and area (PPA) targets.
• Drive continuous improvement in cost, quality, and engineering efficiency.
• Ensure adherence to quality standards, signoff criteria, and validation requirements.
4. Technology and Methodology Enablement
• Enable adoption of advanced process nodes and associated design methodologies.
• Drive improvements in tools, flows, and engineering practices across implementation and signoff.
• Partner with foundries, EDA vendors, and internal teams to enhance design outcomes.
• Enable adoption of advanced process nodes and associated design methodologies.
• Drive improvements in tools, flows, and engineering practices across implementation and signoff.
• Partner with foundries, EDA vendors, and internal teams to enhance design outcomes.
5. Cross-Functional Collaboration
• Partner with architecture, RTL, DFT, methodology, and product engineering teams.
• Ensure alignment between architectural intent and physical implementation feasibility.
• Support program execution through close collaboration with program and product leadership.
• Partner with architecture, RTL, DFT, methodology, and product engineering teams.
• Ensure alignment between architectural intent and physical implementation feasibility.
• Support program execution through close collaboration with program and product leadership.
6. Organizational Execution and Scaling
• Standardize ways of working across global teams to reduce variability and improve predictability.
• Drive data-driven execution using metrics, KPIs, and performance tracking.
• Identify and remove bottlenecks impacting delivery timelines or quality.
• Standardize ways of working across global teams to reduce variability and improve predictability.
• Drive data-driven execution using metrics, KPIs, and performance tracking.
• Identify and remove bottlenecks impacting delivery timelines or quality.
Scope and Impact
• Responsible for backend execution across multiple SoC and MCU programs.
• Direct leadership of large, multi-site engineering teams.
• Critical impact on silicon delivery timelines, product quality, and business outcomes.
• Key contributor to organizational execution capability and scalability within HPC.
• Responsible for backend execution across multiple SoC and MCU programs.
• Direct leadership of large, multi-site engineering teams.
• Critical impact on silicon delivery timelines, product quality, and business outcomes.
• Key contributor to organizational execution capability and scalability within HPC.
What we require
Education
• Master’s degree in Electrical Engineering, Computer Engineering, or related field.
• Master’s degree in Electrical Engineering, Computer Engineering, or related field.
Experience
• Approximately 20+ years of experience in semiconductor design, with strong focus on physical design and implementation.
• Proven experience leading large-scale, global engineering teams.
• Demonstrated track record of delivering complex SoC programs across multiple technology nodes.
• Approximately 20+ years of experience in semiconductor design, with strong focus on physical design and implementation.
• Proven experience leading large-scale, global engineering teams.
• Demonstrated track record of delivering complex SoC programs across multiple technology nodes.
Technical Expertise
• End-to-end RTL-to-GDSII flow, including synthesis, place and route, timing closure, and physical verification.
• Advanced node implementation and signoff methodologies.
• Deep understanding of SoC and MCU design and integration.
• End-to-end RTL-to-GDSII flow, including synthesis, place and route, timing closure, and physical verification.
• Advanced node implementation and signoff methodologies.
• Deep understanding of SoC and MCU design and integration.
Leadership Capabilities
• Ability to lead large, globally distributed teams in a matrixed environment.
• Strong execution focus with accountability for delivery outcomes.
• Effective cross-functional collaboration and stakeholder management.
• Data-driven decision-making and structured problem-solving.
• Ability to lead large, globally distributed teams in a matrixed environment.
• Strong execution focus with accountability for delivery outcomes.
• Effective cross-functional collaboration and stakeholder management.
• Data-driven decision-making and structured problem-solving.
Preferred Qualifications
• Experience in high-performance computing, automotive, or advanced SoC domains.
• Exposure to methodology and flow development at scale.
• Experience working across multiple geographies and cultures.
• Experience in high-performance computing, automotive, or advanced SoC domains.
• Exposure to methodology and flow development at scale.
• Experience working across multiple geographies and cultures.
Key Success Measures
• On-time delivery of silicon across programs.
• Achievement of PPA and quality targets.
• Improvement in execution predictability and cycle time.
• Organizational scalability and capability development.
• On-time delivery of silicon across programs.
• Achievement of PPA and quality targets.
• Improvement in execution predictability and cycle time.
• Organizational scalability and capability development.
Skills Required
- Master's degree in Electrical Engineering, Computer Engineering, or related field.
- Approximately 20+ years of experience in semiconductor design with focus on physical design and implementation.
- Proven experience leading large-scale, global engineering teams.
- Demonstrated track record of delivering complex SoC programs across multiple technology nodes.
- Expertise in end-to-end RTL-to-GDSII flow including synthesis, place and route, timing closure, and physical verification.
- Advanced node implementation and signoff methodologies.
- Deep understanding of SoC and MCU design and integration.
- Ability to lead globally distributed teams in a matrixed environment and drive delivery accountability.
- Data-driven decision-making and structured problem-solving skills.
- Experience in high-performance computing, automotive, or advanced SoC domains.
- Exposure to methodology and flow development at scale.
- Experience working across multiple geographies and cultures.
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The Company
What We Do
HopHR is a recruitment platform that uses AI-driven technology to connect companies with top-tier data science, machine learning, and AI professionals, particularly from Latin America. Founded in 2016, the company focuses on simplifying the hiring process through a combination of human-segmented talent databases and matching algorithms, aiming to break geographic barriers and promote diversity in tech hiring for clients ranging from startups to Fortune 500 enterprises.
