ManmaruAI

Careers

Careers

Freelance and contract work welcome

ManmaruAI develops robot products and learning technologies with the goal of building robots that learn tasks and expand what they can do. We will bring them to manufacturing and logistics workplaces while making as much use as possible of existing equipment and working environments.

Our ambition and current development

What we work on

Develop robot products and learning technologies with the goal of robots that learn tasks, and bring them to workplaces.

We also use foundation AI from other providers. ManmaruAI develops robot products that incorporate it, along with learning, control, and validation systems tailored to each task.

The future we aim for

A society where people and robots coexist, work together, and live together.

Open roles

01

Robot product and control engineer

Implement robot products and systems for motion learning, control, and validation. We seek engineers who want to test motions in simulation and on real robots, and improve our products and learning technologies.

Experience and skills
  • Python development experience, such as APIs, data processing, or automation
  • Experience taking rapid initial validation through to improvements
  • Willingness to test on real robots and at work sites
Working conditions
  • Commitment: At least three days per week
  • Engagement: Flexible arrangements, including side work, contracts, and full-time employment
  • Compensation: Discussed based on experience and skills
  • Work location: Primarily on site, with remote work as needed
02

Simulation and data engineer (Isaac Sim / VLA)

Develop training and evaluation data and validation systems that help robots learn tasks. Work includes robot and sensor modeling, scene building, domain randomization, synthetic data generation, and label and evaluation metric design using tools such as NVIDIA Isaac Sim. Compare simulation data with real-robot logs, video, and sensor data to improve learning methods and data. The role also covers data design, selection, cleaning, and evaluation scenarios for VLA models, which generate actions from vision and language.

Experience and skills
  • Python implementation experience in data processing and machine learning
  • Validation or development experience with simulators or 3D tools such as Isaac Sim
  • Experience in evaluation design, including metrics, reproducibility, and failure analysis, or data quality improvement
  • Experience implementing or operating VLA models, imitation learning, or LeRobot is a plus
Working conditions
  • Commitment: At least three days per week
  • Engagement: Flexible arrangements, including side work, contracts, and full-time employment
  • Compensation: Discussed based on experience and skills
  • Work location: Remote work available, with site visits as needed
03

Site operations and project management

Connect product and learning technology development with on-site validation. Responsibilities include site interviews, organizing validation work, and operations. You may work from initial validation through to production, coordinating engineers and site stakeholders.

Experience and skills
  • Experience coordinating site stakeholders, organizing work, and designing operations
  • Ability to turn problems into requirements and actionable plans
  • Project management that accounts for safety, quality, and deadlines
  • Ability to communicate between engineers and site teams
Working conditions
  • Commitment: At least three days per week
  • Engagement: Flexible arrangements, including side work, contracts, and full-time employment
  • Compensation: Discussed based on experience and skills
  • Work location: Primarily on site