Jobs at SQUAD (squad.tech)

The Head of IT leads IT Support, Infrastructure, and Security teams, responsible for IT strategy, cloud services, compliance, and driving technical initiatives for reliability and innovation.

Validate firmware for embedded systems through test planning, test-case creation, and manual execution across low-level and end-to-end scenarios. Work with hardware, backend, apps, and cross-functional teams to detect, document, and help root-cause defects throughout the SDLC.

Design and implement RTOS-based C/C++ firmware for a dual-processor communications device, lead hardware bringup, integrate 5G/LTE modems with P25 fallback, define IPC APIs, optimize for carrier and safety certifications, and collaborate across SW/HW/RF teams.

Lead definition and delivery of a technical internal system impacting millions of mobile users. Gather and prioritize stakeholder requirements, translate needs into user stories and acceptance criteria, identify risks and dependencies, collaborate with engineering and design on scalable solutions, define success metrics, and drive product strategy, roadmap, and end-to-end delivery across lifecycle and scale.

Lead product strategy and execution for partner-facing mobile and hardware-enabled products. Analyze quantitative and qualitative data, partner with UX research and engineering, define requirements and success metrics, prioritize initiatives, communicate with stakeholders, and continuously optimize user-facing experiences.

Lead design, architecture, and development of complex embedded software. Implement and optimize firmware, perform hardware-software integration and testing, debug with JTAG and lab tools, conduct code reviews and mentor junior engineers, evaluate new tools and methodologies, and ensure system stability across environments.

Lead architecture, design, and development of complex embedded systems. Provide technical direction, mentor engineers, ensure hardware-software integration, troubleshoot with hardware debug tools, optimize real-time performance, maintain documentation, and mitigate technical risks.

Design and implement high-performance embedded video streaming components in C++ for IoT/smart camera platforms. Build media pipelines, handle multi-camera ingestion, local recording, storage management, and integrate streaming protocols (RTSP, ONVIF, WebRTC). Optimize real-time processing on constrained Linux hardware, troubleshoot streaming quality, collaborate cross-functionally, follow Agile practices, and maintain technical documentation.

Work with embedded software and hardware teams to develop, validate, and optimize image quality across camera systems. Test performance under varied lighting and environmental conditions, analyze metrics, and provide feedback to improve algorithms and hardware integration.

Lead QA strategy and processes for AI-driven features and embedded systems. Define test scopes, plan QA activities, allocate resources, track testing metrics, mentor team members, and ensure multi-layered automated testing and stable releases across programs.

Lead a team of 4–8 applied scientists to drive full-cycle research in sensors and computer vision, maintain and prototype CV and sensor features, coordinate with data teams for evaluation metrics and algorithm optimization, and deliver production-ready solutions.

Design, evaluate, and test optical elements, lens modules, and illumination subsystems for camera products. Develop metrology, perform optical analysis and lab testing, and collaborate with hardware teams to improve image quality and illumination performance.

Design and execute manual and automated tests for embedded SoC-based products. Expand and maintain Python test framework, ensure CI/CD test coverage, define test environments, estimate tasks, integrate AI-assisted QA tools, and collaborate with SDET, Engineering, Product, and QA teams to improve SDK stability and system integration.

Work with firmware engineers to develop and validate embedded features for battery- and line-powered camera devices. Learn and contribute to embedded C/C++ codebases, hardware interface programming (I2C/SPI/UART), build systems, debugging on hardware, data analysis, and collaborate in reviews, QA, and documentation.

As an Applied Science Intern, you will support research through data collection and ML model training while collaborating with multiple departments.

Execute manual and automated tests for AI-driven features and embedded systems, expand Python-based test frameworks, create test plans and traceability, use CI and API testing tools, prepare test reports, and apply QA standards and continuous improvement practices.

Design and produce illustrations and animations for iOS and Android apps; collaborate with product, design, and engineering teams; create assets and compositions, translate UX copy into visuals or animations, storyboard, maintain the visual library, and present work to stakeholders while working independently and on remote teams.

Design, implement, and optimize embedded C/C++ (C++17) software for camera-based robotic security devices. Develop build systems, work across Linux/Android BSPs and RTOS MCUs, write device drivers, debug hardware/software interactions, lead feature development, optimize performance for constrained environments, mentor engineers, and collaborate with QA on automated testing and documentation.

Develop motion detection features in Cloud and Edge environments, focusing on machine learning algorithms, dataset analysis, and model optimization. Collaborate across departments and mentor junior colleagues.

The role involves developing and managing website applications.