Head of Edge AI & Embedded Systems

Algorized; Campbell (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

A fast-growing deep tech startup is seeking a hands-on engineering leader in Campbell, CA. This role involves managing and mentoring a high-performing technical team focused on embedded systems and edge AI/ML. The ideal candidate has over 15 years of experience in tech, with significant time in leadership roles, and will drive the engineering of scalable AI infrastructure. This opportunity allows for hybrid work, fostering a culture of technical excellence and accountability within a dynamic environment.

Qualifications

• 15 years of professional experience in tech with 5 years as a Product Engineering/Management leader.
• Experience with AI infrastructure and on-premises/hybrid products.
• Expertise in managing large-scale infrastructure teams and delivering projects.

Responsibilities

• Lead, mentor, and expand a high-performing technical team.
• Drive engineering of scalable, sensor-agnostic edge computing platform.
• Define and implement a modular, scalable system architecture.
• Collaborate with cross-functional teams to define the product roadmap.
• Lead development of ML infrastructure and model deployment.
• Ensure technical delivery and validation with partners.
• Build a culture of technical excellence and accountability.

Skills

Embedded systems

Edge AI/ML

Scalable software architecture

Technical leadership

Education

Master’s degree or PhD in Engineering

Job description

A fast-growing deep tech startup is seeking a hands-on engineering leader in Campbell, CA. This role involves managing and mentoring a high-performing technical team focused on embedded systems and edge AI/ML. The ideal candidate has over 15 years of experience in tech, with significant time in leadership roles, and will drive the engineering of scalable AI infrastructure. This opportunity allows for hybrid work, fostering a culture of technical excellence and accountability within a dynamic environment.