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Algorized · 1 day ago

Head of Engineering

San Francisco Bay Area

Full-time

Onsite

Director/Executive

$300K/yr - $375K/yr

15+ years exp

Algorized is a fast-growing deep tech startup redefining sensing and perception AI. They are seeking a hands-on engineering leader to manage and mentor a high-performing technical team, drive the engineering of a scalable edge computing platform, and ensure robust AI/ML model performance.

Artificial Intelligence (AI)Embedded SoftwareSensorSoftware

Hiring Manager

Allyssa Camperson

Responsibilities

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

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

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

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

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

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

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

Qualification

Embedded systemsEdge AI/MLScalable software architectureAI infrastructureProduct Engineering leadershipTechnical innovationAgile practicesCross-functional collaborationTeam mentoring

Required

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

Experience as an engineering leader within an early-stage startup or scale-up environment

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

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

Experience leading and managing large-scale infrastructure teams and delivering projects

Preferred

Master's degree or PhD in Engineering

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

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

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