Role Overview

We are seeking a passionate and experienced Senior Software Architect to join a fast-growing deep-tech team focused on AI-driven edge solutions. The role involves designing and implementing end-to-end software architectures across embedded systems, backend services, and frontend applications. The ideal candidate thrives in a dynamic startup-like environment, takes ownership, and can seamlessly connect backend, frontend, and embedded systems to deliver robust, high-performance products.

Key Responsibilities

• Lead the design and development of software architecture across embedded, backend, and frontend systems, providing technical leadership and guidance.
• Own the technical requirements, design, development, integration, and verification of software solutions leveraging advanced algorithms for real-time sensing and positioning.
• Design and implement software on edge devices, including boot processes, toolchains, drivers, middleware, and application/state machines.
• Establish and maintain coding standards, templates, and best practices across repositories and teams.
• Optimize software for resource-constrained embedded systems (power, memory, compute, throughput).
• Collaborate with cross-functional teams to define goals, set milestones, and ensure delivery across multiple components.
• Contribute to technology roadmaps and coordinate with partners for hardware/software integration.

Minimum Qualifications

• MSc in Computer Science or a related field.
• 3+ years of software architecture and system design experience.
• 5+ years of software development experience, particularly in C/C++ and ARM-based architectures.
• Proficiency in Python for application development, tooling, and algorithm integration.
• Demonstrated experience designing multi-component architectures (plugin systems, modular frameworks, layered architectures).
• Full product/software lifecycle experience, balancing architectural vision with hands-on implementation.

Preferred / Nice-to-Have

• Experience in robotics, edge AI, or sensor-driven systems.
• Hands-on experience integrating AI/ML models into embedded systems.
• Knowledge of real-time operating systems (RTOS) and embedded tooling.
• Familiarity with CI/CD pipelines for multi-platform deployments.

Why Join

• Opportunity to work on cutting-edge edge-AI systems bridging hardware, software, and ML.
• Highly collaborative, fast-moving, and innovation-focused environment.
• Work with talented engineers across AI, embedded, and cloud domains.
• Shape technical standards, architecture, and development practices in a growing team.