AtHumanoidwe strive to create the world's leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.

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 believe that providing a universal basic income will eventually be a true evolution of our civilization.

As the demands on our built environment rise, labour shortages loom. 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

- Build and optimize a robust knowledge base infrastructure to support various functionalities of the humanoid robot.

- Collaborate with data scientists, AI researchers, and other engineers to integrate the knowledge base with broader AI/ML frameworks.

- Conduct thorough testing and validation of the knowledge base to ensure accuracy and reliability.

- Stay current with advancements in knowledge representation, semantic technologies, and related fields.

- Provide technical support and troubleshooting for knowledge base-related issues.

- Ensure compliance with data privacy and security standards in the knowledge base system.

- Present progress, challenges, and solutions to senior leadership and incorporate their feedback.

Expertise

- Proven experience as a software engineer with a focus on knowledge base systems, knowledge representation, or similar areas.

- Proficiency in programming languages such as Python, Java, or C++.

- Experience with semantic technologies, ontologies, and related tools (e.g., OWL, RDF, SPARQL).

- Strong understanding of data structures, algorithms, and database management systems.

- Excellent problem-solving skills and the ability to develop innovative solutions for complex problems.

- Strong communication and collaboration skills, with experience working in cross-functional teams.

- Familiarity with AI/ML frameworks and tools, such as TensorFlow, PyTorch, and others.

- Knowledge of industry trends and best practices in knowledge management and AI.

Benefits

- High competitive salary.

- 23 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.