Embedded Linux Software Engineer
Design, develop, and maintain Linux-based embedded systems while ensuring high performance and reliability. Collaborate with hardware and software teams to integrate components and resolve complex system issues.
Design, develop, and maintain Linux-based embedded systems while ensuring high performance and reliability. Collaborate with hardware and software teams to integrate components and resolve complex system issues.
Design, develop, and maintain high-quality embedded software for camera-based security devices. Debug complex software, hardware, and network connectivity issues while optimizing performance for resource-constrained environments.
You will design and implement core software features for new Linux-based IoT devices while collaborating with hardware and QA teams. You are responsible for the full development lifecycle, including coding, debugging, performance optimization, and technical documentation.
Design and build advanced native Android applications while collaborating with cross-functional teams to ship new features. Responsibilities include working with external APIs, performing bug fixes, and continuously evaluating new technologies to improve application performance.
The Software Asset Manager will oversee the software ecosystem, managing license lifecycles, renewals, and vendor relations to ensure compliance and cost efficiency. They will reconcile software spend, audit usage, and collaborate with stakeholders to standardize tools and optimize budget utilization.
You will drive mechanical component development from initial concept through to mass production, including CAD modeling and BOM management. You will also collaborate with cross-functional teams to ensure hardware integration and lead validation testing to meet quality and cost requirements.
The Optical Engineer will specify, select, and qualify optical components for camera modules and illumination sub-systems. They will also develop measurement methods to evaluate image performance and collaborate with hardware engineers on design and testing.
You will collaborate with software and hardware teams to develop and validate image quality for home security devices. Your role involves optimizing software algorithms and hardware integration to ensure exceptional camera performance across various environments.
The role involves leading the architectural design and optimization of ML algorithm execution platforms for edge-to-cloud deployment. You will also drive cross-platform compatibility decisions, mentor the team, and manage CI/CD pipelines with automated hardware testing.
You will own the product lifecycle from concept validation through launch, defining product vision, strategy, and go-to-market plans. You will also collaborate across engineering, design, and sales teams to drive commercial success and align stakeholders on product priorities.
The engineer will lead the end-to-end development of complex digital, analog, and mixed-signal devices while architecting system-level hardware solutions. They are also responsible for conducting schematic and PCB layout reviews, mentoring junior staff, and ensuring design for manufacturability.
Lead a team of applied scientists to advance research projects and optimize algorithmic performance in the sensor and computer vision domains. You will be responsible for prototyping new features, maintaining existing computer vision assets, and coordinating with data teams to develop evaluation metrics.
The Systems Engineer is responsible for maintaining and optimizing technical infrastructure to ensure system reliability. They will collaborate with cross-functional teams to support corporate technical operations and project delivery.
The Senior Payroll Accountant manages the end-to-end payroll and remuneration function for SQUAD Ukraine, ensuring accuracy, compliance, and timely processing. This role also involves leading the payroll team, driving process automation, and maintaining strict adherence to Ukrainian tax legislation and Diya City residency requirements.
The Content Marketing Specialist will own and execute the content strategy across the buyer journey to drive lead generation and market growth. They will translate complex technical concepts into high-impact assets like whitepapers, blogs, and website copy while collaborating with internal experts.
Lead the design, architecture, and optimization of complex embedded software solutions for hardware platforms. Collaborate with cross-functional teams to integrate system components and resolve complex stability issues.
Own and drive the QA strategy and processes across multiple AI programs to align testing with business needs. Manage resource allocation, mentor team members, and provide quality status reports throughout the SDLC.
The role involves executing manual tests and expanding automation coverage for AI-driven features and embedded systems. Responsibilities include developing test plans, maintaining Python frameworks, and ensuring comprehensive test coverage through various quality management principles.
The Product Manager will act as a strategic bridge between design and engineering to drive hardware-enabled products from concept to delivery. Key duties include defining product roadmaps, managing backlogs, and collaborating with stakeholders to align business goals with user needs.
Lead the full enterprise sales cycle from strategic identification and qualification to contract closure. Build high-value pipelines within target verticals and collaborate cross-functionally to deliver impactful tech products.
Drive the transition of Generative AI features from research to production by optimizing local inference and engineering scalable RAG architectures. Responsibilities include fine-tuning LLMs, curating high-quality datasets, and implementing autonomous agentic workflows.
Design, develop, and maintain high-quality embedded software for camera-based security devices using C and C++. The role involves debugging complex software/hardware issues and optimizing performance for resource-constrained environments.
Design, develop, and maintain high-quality C++ embedded software for camera-based security devices. This includes debugging complex hardware/software issues and optimizing performance for resource-constrained environments.
Develop and optimize innovative machine learning algorithms for motion detection in Cloud and Edge environments. Conduct research tasks including hypothesis setting, data gathering, model training, and documenting results in papers.