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Head of Engineering

Algorized is a fast growing deep tech startup redefining sensing and perception AI. Our sensor-agnostic software platform enables real-time human activity detection across automotive, healthcare, smart devices, and robotics.

 

We’re looking for a hands-on engineering leader with deep expertise in embedded systems, edge AI/ML, and scalable software architecture—who can drive execution while building and mentoring a high-performing team. You should thrive in fast-paced environments, take full ownership, and turn complex technical challenges into real-world, production-ready solutions. If you are resourceful, have deep understanding in scaling edge AI/ML and ready to join a dynamic fast-growing start-up this unique opportunity is for you!

LOCATION

Hybrid/Campbell, CA

EMPLOYMENT TYPE

Full Time

Responsibilities

Qualifications

  • Lead & Scale: Manage, mentor, and expand a world-class technical team with expertise in embedded systems, radar signal processing, edge-ML, and software architecture.

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  • Product Engineering Ownership: Drive the engineering of a scalable, sensor-agnostic edge computing platform integrated on any wireless communication radar chip, multi-modal sensor fusion—ensuring robust AI/ML models performance, real-time processing, and algorithmic metrics KPIs.

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  • System Design: Define and implement a modular, scalable, and maintainable system architecture suitable for production-level deployments.

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  • Collaborate Cross-Functionally: Work closely with the CEO, CPO, researchers and sales to define product roadmap, align execution, and meet customer milestones.

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  • Build scalable ML/AI Tech Stack: Lead hands-on development and architecture efforts across ML Infrastructure & Model Deployment

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  • Customer-Facing Validation: Ensure technical delivery and validation with early adopters and enterprise partners.

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  • Process & Culture: Build a culture of technical excellence, ownership, and execution. Set high standards for code quality, agile practices, and documentation, while fostering a make-it-happen mindset and strong team accountability.

​Minimum Qualifications

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  • 15 years of professional experience in tech, including 5 years of experience as a Product Engineering/Management leader with a research background.​

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  • Experience with platforms and large-scale AI infrastructure and on premises/hybrid products.​

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  • Experience with general purpose systems and infrastructure, and with technical innovation in hardware and on-premises infrastructure.​

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  • Experience leading and managing large-scale infrastructure teams, and delivering projects.

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Preferred qualifications

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  • Master's degree or PhD in Engineering.

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  • Experience leading Product, Engineering, and Research teams in complex, cross-functional environments.

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  • Experience innovating state-of-the-art technology at scale within large, complex, and cross-functional engineering environments, and a passion for development and the use of cross-platform shared code.

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  • Ability to balance detailed, technical guidance with “big picture” strategy, enabling teams to deliver products that are effective and also creating new ways to manage data at scale.

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