Senior Engineering Program Manager
Summary
Owns the full SoC program lifecycle—from architecture to tapeout and silicon bring-up—coordinating silicon, platform hardware, software, and third-party IP vendors.
You will drive execution of a Physical AI SoC program across silicon development, platform hardware, software, and third-party IP vendors. You will own the integrated schedule from architecture through tapeout, silicon bring-up, and platform and software readiness, manage risks and dependencies, coordinate internal and external stakeholders, and build program management processes for a growing engineering organization.
Responsibilities
- Own the end-to-end SoC program plan and integrated schedule
- Drive platform and software execution alongside silicon development
- Manage third-party IP vendor engagements, deliverables, contracts, quality metrics, errata, and dependencies
- Run milestone reviews, cross-functional syncs, executive reporting, and decision logs
- Identify, quantify, and mitigate program risks
- Coordinate foundry, OSAT, design services, and platform manufacturing partners
- Build program management processes, tools, and templates
- Mentor teams on execution discipline
Requirements
- 10+ years of engineering program management experience in semiconductors
- Experience managing at least one complex SoC program from architecture through tapeout and bring-up
- Experience managing programs spanning silicon, platform hardware, and software
- Experience managing third-party IP vendors, milestone-based contracts, and cross-vendor dependencies
- Technical fluency in RTL milestones, verification coverage, physical design closure, DFT, and software or firmware bring-up
- Expertise in schedule development, critical-path analysis, risk management, change control, and stakeholder communication
- Ability to influence engineering, vendor, and executive audiences without authority
- Excellent written and verbal communication skills
- Bachelor’s degree in Electrical or Computer Engineering, Computer Science, or a related technical field, or equivalent practical experience
- Experience with advanced process nodes and foundry or OSAT engagement models preferred
- Experience in edge AI, automotive, robotics, or embedded or safety-adjacent domains preferred
- Experience at an early-stage or high-growth company preferred
- Master’s degree in engineering or business preferred
Benefits
- Performance-based incentives
- Equity participation
- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Flexible work arrangements