
501 - 1000 employees
Founded 2016
🔧 Hardware
🤖 Artificial Intelligence
🤝 B2B
Hardware • Artificial Intelligence • B2B
SQUAD is a camera engineering and R&D services company that develops end-to-end AI-powered camera products. From concept to manufacturing readiness, they cover sensor and optics selection, PCB and firmware design, embedded systems, edge AI and computer vision, cloud streaming, mobile apps, and ML infrastructure. SQUAD operates a 6,500 m² Innovation Lab with hardware and video/image-quality testing, and offers product strategy, lifecycle support, data collection and annotation, MLOps for smart cameras, and scalable ML infrastructure. Their focus is on building production-ready smart camera systems for industries such as security & smart home, automotive, industrial/agritech, and public safety.
Selected: 🆕 Date Added.
🕒 Yesterday
C++ Software Engineer building high-performance Linux software for SQUAD’s new IoT hardware product. Owning features from design through debugging, deployment, and production readiness.
GRPC
Linux
C++
🕒 Yesterday
Android engineer building Kotlin and Java mobile apps integrated with IoT hardware. Developing streaming, device-control, and secure-connectivity features for SQUAD.
Android
Dagger
IoT
Java
Kotlin
🕒 2 days ago
Embedded Engineer developing AE/AWB and day-night image-quality firmware for SQUAD’s camera pipelines. Integrating vendor DSP/ISP SDKs and validating IQ behavior on device.
Python
C++
🕒 6 days ago
Software Asset Manager optimizing SQUAD’s 90+ application licenses for 800+ employees. Managing renewals, vendor relations, compliance, and software cost control across Operations.
🕒 6 days ago
Mechanical Engineer developing consumer electronics and IoT hardware from CAD concept through mass production at SQUAD. Leading validation, manufacturability, supplier coordination, and lifecycle improvements.
IoT
🕒 August 28
Software Engineer leading C++ ML infrastructure for SQUAD’s embedded AI/ML systems. Optimizing distributed inference, hardware performance, testing, and edge-to-cloud deployments.
AWS
Cloud
Docker
Jenkins
Linux
Python
C++
🕒 August 27
Product Manager commercializing SQUAD’s emerging B2B software and technology products. Owning product strategy, validation, monetization, and go-to-market execution.
🕒 August 19
Electrical Engineer architecting analog, digital, and mixed-signal hardware for SQUAD’s low-power consumer electronics. Leading PCB design, testing, manufacturability, and engineer mentoring.
🕒 August 11
Systems Engineer supporting SQUAD’s operations division in Ukraine. Role responsibilities and qualifications are not specified in the provided posting.
🕒 August 6
Lead Applied Scientist advancing SQUAD’s computer vision and sensor research. Guiding Applied Scientists, prototyping features, and optimizing algorithms for production.
🕒 August 5
B2B Content Marketing Specialist translating SQUAD’s Edge AI, embedded systems, IoT, cloud, and smart-camera expertise into compelling content. Driving SEO growth, demand generation, thought leadership, and sales enablement across the buyer journey.
🇺🇦 Ukraine – Remote
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
✍️ Content Marketing Manager
👻 Ghost score 16%
🕒 July 27
C & C++ Embedded Engineer developing high-quality embedded software for camera-based security devices. Collaborating with cross-functional teams to resolve issues and enhance product features.
C++
RTOS
SDLC
🕒 July 27
Product Manager defining product culture and strategy at SQUAD, collaborating with cross-functional teams to deliver user-centric solutions.
🕒 July 27
C++ Embedded Engineer crafting high-performance embedded solutions for security devices. Collaborating with hardware teams and optimizing software under rigorous security standards.
C++
RTOS
SDLC
🕒 July 27
Business Development Manager leading enterprise sales cycles and fostering partnerships for impactful tech products. Collaborating across teams to develop high-value pipelines and innovative proposals.
🕒 July 27
Applied Scientist developing high-performance Generative AI features across Cloud and Edge environments. Transitioning research to production through model optimization and engineering scalable architectures.