Lead Engineer Navigation and Planning

About us

In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries.

The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do.

We can imagine millions of bipedal robots doing more work than all human labour does today freeing people from the servitude of some repetitive and boring tasks that nobody likes to perform.

We believe that we have enough abundance to take care of everyone who is displaced. Eventually, providing a universal basic income will lead to the true evolution of our civilization.

Labor shortages loom, as the demands on our built environment rise. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed.

By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs.

Responsibilities

• Team Leadership: Lead and mentor a team, managing tasks and deliverables.
• Machine Learning Integration: Apply machine learning to improve navigation and mapping systems.
• Cross-functional Collaboration: Work with hardware, software, and control teams to integrate navigation solutions.
• Algorithm Development: Develop and optimize real-time localization and mapping algorithms.
• Sensor Fusion: Combine data from multiple sensors to enhance accuracy and reliability.
• Performance Optimization: Optimize algorithms for efficiency and real-time performance on embedded platforms
• Evaluation and Validation: Test and validate navigation systems in both simulated and real-world environments.
• Research and Innovation: Stay updated on advancements in machine learning and robotic navigation, contributing to research and publications.
• Documentation: Document processes and share knowledge to promote continuous improvement.

Expertise

• Proven experience as a lead engineer or similar role, focusing on navigation and path planning for robotics or autonomous systems.
• Proficiency in programming languages such as C++, Python, and ROS (Robot Operating System).
• Strong understanding of SLAM (Simultaneous Localization and Mapping), path planning algorithms, and sensor fusion techniques.
• Experience with AI/ML frameworks and tools relevant to navigation and planning.
• Excellent problem-solving and analytical skills, with the ability to tackle complex challenges in dynamic environments.
• Strong leadership and team management abilities, with experience leading technical teams.
• Excellent communication and collaboration skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.
• Knowledge of industry trends and advancements in navigation, mapping, and planning technologies.

Benefits

• High competitive salary.
• 28 calendar days of vacation per year.
• Flexible working hours.
• Opportunity to work on the latest technologies in AI, Robotics, EdTech, MedTech and others.
• Startup model, offering a dynamic and innovative work environment.

How to Apply

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