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Why This Job Is Exciting At Innovatrics, we design biometric technologies used in secure onboarding, border control, elections, and digital ID across 80+ countries. As an SDK Builder Team Lead, you will directly contribute to the success of embedded and mobile biometric solutions by bridging our technical offerings with customer needs. In your first months, you’ll explore: Deep dive into our team, technology and products, understanding the team dynamics, SDKs, components, and use-cases we support Get hands-on with our SDKs and platforms, most of which are written in C++ and Rust with API bindings in Kotlin, .NET, and Python. Understand the foundations of our SDKs and platforms to integrate them into customers' solutions.  Deliver SDKs optimized for the Embedded Linux-based platform. Lead a small team of builders and mentor them in the growth path. As you settle into the role, you’ll start contributing by: Take ownership of the design and development of the Embedded Biometrics used by hardware vendors and system integrators. Drive collaboration with researchers and builders across teams to ensure high performance, portability, and modular architecture of our solutions. Mentor junior engineers and help shape coding standards and best practices. Review partner architectures and recommend optimal integration approaches Lead debugging/escalations and root cause analysis across teams Within your first year, you’ll have the opportunity to: Collaborate with stakeholders, platform, and R&D teams to align on product requirements Influence solution roadmaps and strategy based on market needs and requirements, but also maintainability of the solution Lead the development of biometric toolkits and delivery of biometric integrations for strategic OEM partners. What You’ll Help Build We’re a small team, so your ideas ship fast. From day one, you’ll build production features and shape global-scale projects within weeks. You will contribute to the development and delivery of Biometric Toolkits for embedded platforms, optimizing our libraries and neural network models for best performance and integrating AI inference tools into real-world use cases. Your work will be instrumental in: Development and delivery of high-performance biometric solutions on resource-constrained platforms. Development of use-case specific, well-documented biometric toolkits for easy integration by our customers - hardware vendors and system integrators Requirements About You You have a strong background in embedded systems, AI model deployment, and technical communication. You enjoy solving practical integration challenges and collaborating with customers, engineers, and sales teams. We expect engineers who can effectively leverage AI as part of their development workflow - using it to accelerate delivery, improve quality, and explore better solutions, while maintaining full ownership and understanding of the output. You should demonstrate strong engineering judgment, make pragmatic trade-offs, and critically evaluate AI-generated code, especially in areas like API design, security, and performance. Qualifications Strong communication and problem-solving skills, with the ability to understand complex systems and explain technical concepts clearly to both technical and non-technical audiences. Proven experience in C/C++ (11/14/17); familiarity with Rust and Kotlin/Java (Android) is a plus. Experience with embedded Linux, RTOS, or bare-metal environments, including cross-compilation and performance tuning. Experience with neural network model integration, optimization, and porting for Embedded platforms (NPUs, TPUs, and DSPs). Familiarity with frameworks like TensorFlow Lite, ONNX, Pytorch Strong troubleshooting and debugging skills for embedded/mobile platforms. Experience with profiling tools (perf, valgrind, gprof, etc.) Experience in a leading role (technical lead or senior engi