Head of Software Engineering
SQUAD PL
Head of Software Engineering
SQUAD PL
End-to-end hardware-software AI-powered IoT product development
Our Embedded Software Engineering domain is a core R&D unit responsible for crafting reliable, high-performance software for smart IoT devices, AI-powered cameras, and connected hardware. The team focuses on the full software stack close to hardware: low-level firmware, Linux-based and RTOS-based embedded platforms, middleware, file systems, connectivity (Wi-Fi, BLE, cellular), and real-time audio/video streaming. We operate with an agile, delivery-first R&D approach, driving software architecture from concept and prototyping to edge AI deployment, secure OTA management, and mass-production readiness.
We are seeking a strategic and technically grounded Head of Software (Embedded) to lead, scale, and elevate our software engineering organization. Designed to unify all Software Development teams under a single leadership structure, this role will consolidate distributed engineering teams to eliminate operational silos, standardize engineering practices, and drive cross-functional project delivery.
In this role, you will streamline the software project roadmap, scale cross-border operations, and partner with Recruitment to drive strategic headcount growth. You will directly support and align Software Development Managers and Tech Leads, set architectural standards, and oversee software delivery across multiple product lines. Additionally, you will drive business growth by participating in pre-sales activities, technical discovery calls, and client consultations, evaluating feasible architectures, scoping efforts, and pitching end-to-end embedded software solutions. You will report directly to the Senior Director of Embedded Engineering.
SQUAD PL provides end-to-end engineering services for AI-powered camera and IoT products, acting as an integrated partner from concept to manufacturing readiness. It combines hardware engineering (sensor selection, PCB design, power optimization) with full-stack software (firmware, connectivity, cloud backends, and iOS/Android mobile apps) and an AI data pipeline (data collection, annotation, analytics). Its large in-house R&D footprint and testing labs enable early real-world validation, helping reduce risk and speed time-to-market. Its goal is to deliver complete product development and validation under one roof, allowing customers to bring AI camera and IoT devices to market efficiently while maintaining control over hardware, software, and data.
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