Head of Autonomy
Head of Autonomy
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Job Description
At Sphaira were 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.
Were 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 youre energized by innovation autonomy and solving real-world mobility challenges wed 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 requiredambition 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 growthstep 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.
Employment Type
Employee
