Vice President of Engineering

BrainChip; Laguna Hills (CA); On-site; USD 300,000 - 420,000; Full time

Job summary

BrainChip seeks a VP of Engineering to lead global engineering, product development, software, silicon architecture, and technology commercialization. Reporting to the CEO, this executive will transform innovative tech into scalable commercial products while driving growth and customer success.

The role requires 20+ years of leadership in SoC-enabled platforms, with a strong background in semiconductor, AI acceleration, embedded systems, and distributed teams across geographies.

Qualifications

• 20+ years of technology leadership delivering SoC products.
• Proven track record in leading global engineering and product teams.
• Experience bringing complex hardware/software platforms to market.
• Strong semiconductor, AI acceleration, embedded computing or advanced system architectures.
• Experience scaling organizations during rapid growth.
• Experience managing geographically distributed teams.

Responsibilities

• Own and execute the technology and product roadmap in partnership with Product and R&D.
• Lead global engineering organizations spanning silicon design, chip architecture, software, AI/ML, systems, and product engineering.
• Drive next-generation products from concept through commercialization.
• Partner with strategic customers and ecosystem partners to accelerate adoption.
• Establish scalable development processes, quality systems, and organizational structures.
• Build and mentor high-performing technical leadership teams.
• Collaborate with executive leadership and the Board on strategic initiatives.

Skills

Tech Leadership

SoC Experience

AI/ML Expertise

Distributed Teams

Education

PhD in Engineering

MS in Electrical Engineering

Tools

EDA Tools

Simulation Tools

Job description

The company has developed a breakthrough processing architecture enabling ultra-efficient, real-time intelligence across devices operating outside traditional cloud environments -- addressing critical industry challenges in power consumption, latency, privacy, security, and scalability.

The organization is entering a significant growth phase as customer adoption accelerates across global markets.

The Role

The VP of Engineering will lead global engineering, product development, software, silicon architecture, and technology commercialization. Reporting to the CEO and serving on the executive leadership team, this executive will transform innovative technology into scalable commercial products while driving organizational growth and customer success.

Key Responsibilities

• Own and execute the technology and product roadmap in partnership with Product and R&D
• Lead global engineering organizations spanning silicon design, chip architecture, software, AI/ML, systems, and product engineering
• Drive next-generation products from concept through commercialization
• Partner with strategic customers and ecosystem partners to accelerate adoption
• Establish scalable development processes, quality systems, and organizational structures
• Build and mentor high-performing technical leadership teams
• Collaborate with executive leadership and the Board on strategic initiatives

Required Qualifications

• 20+ years of technology leadership with a track record of delivering commercially successful SoC products
• Proven success leading engineering and product development organizations
• Experience bringing complex hardware/software platforms to market
• Strong background in semiconductor technologies, AI acceleration, embedded computing, or advanced system architectures
• Demonstrated ability to scale organizations during rapid growth
• Experience managing geographically distributed engineering teams

Preferred Experience

AI/ML, edge computing, semiconductor IP licensing and manufacturing, embedded systems, hardware/software co-design, AI infrastructure, advanced computing architectures

Why This Opportunity

A rare chance to join a company creating a fundamentally new approach to intelligent computing and shaping the next generation of AI-enabled products. The successful candidate will have significant influence over technology strategy, product direction, and long-term company success.