At Sphaira, we're shaping the future of indoor and on-site mobility through cutting-edge robotics and artificial intelligence solutions. Our autonomous platforms redefine how people and goods move seamlessly within complex indoor environments, starting in hospitals.

We're looking for an ambitious and driven Head of Autonomy who is passionate about developing and deploying groundbreaking autonomous mobility solutions. This role is ideal for someone eager to step up into a significant leadership position, driving technology development while directly impacting our strategic direction.

If you're energized by innovation, autonomy, and solving real-world mobility challenges, we'd love to hear from you.

Tasks

• Own and Execute Technology Vision: Lead the development and implementation of advanced robotics and AI systems focused on autonomous indoor navigation, mobility, and logistics.
• Innovate and Prototype: Rapidly develop, test, and iterate prototypes to deliver robust solutions that can scale effectively in real-world deployments.
• Build and Lead Your Team: Create, mentor, and lead a dynamic team of engineers and developers passionate about autonomy, robotics, and AI.
• Collaborate Across Disciplines: Work closely with hardware, electronics, and software teams to ensure tight integration and seamless operation of autonomous platforms.
• Quality & Compliance: Ensure technical solutions meet industry standards and safety requirements for autonomous systems.
• Strategic Impact: Engage actively with management and stakeholders, shaping strategic and technological decisions without the constraints of a traditional corporate hierarchy.

Requirements

• Educational Background: Degree (MSc or PhD) in Robotics, AI, Computer Science, Mechatronics, or similar field.
• Experience: 3+ years in robotics or autonomous systems; leadership experience beneficial but not required—ambition and capability matter most.
• Technical Skills: Deep expertise in autonomous navigation, SLAM, path planning, sensor integration, real-time control systems, and deploying AI-driven autonomy systems. Proven experience with deep learning architectures (CNNs, RNNs, Transformers, GANs) and reinforcement learning in practical, real-world applications.
• Hands-on Approach: Proficiency with ROS, Python, C++, simulation environments, and deploying real-world robotic systems.
• Mindset: Proactive, self-motivated, hungry to learn, and driven to make meaningful contributions to groundbreaking technology.
• Communication: Comfortable articulating complex technical ideas clearly and effectively, in English (German beneficial but not required).

Benefits

• Shape innovative robotics technology impacting multiple industries.
• Thrive in an agile, ambitious startup environment with high autonomy.
• Opportunity for rapid career growth—step into greater responsibility quickly.
• Competitive salary and potential equity participation.
• Join a passionate, tight-knit team focused on transformative mobility solutions.

Apply now with your CV, a brief cover letter, and links to relevant projects or portfolio work.