About vacancy:

Qualifications:

5+ years of overall professional engineering experience;

2+ years of hands-on experience in robotics or humanoid robotics;

Hands-on experience with Vision-Language-Action (VLA) models for robotics;

Experience deploying learning-based policies on real robots;

Practical experience working with real robotic systems (not simulation-only);

Experience with OpenVLA or similar open-source VLA frameworks;

Experience with NVIDIA Isaac GR00T humanoid foundation models;

Familiarity with Isaac Sim / Isaac Lab workflows;

Experience adapting foundation models to constrained real-time robot control loops;

Experience with imitation learning or reinforcement learning will be a plus;

Experience designing hybrid systems combining learned policies with classical planning and control will be a plus;

Experience with teleoperation systems and real-world data collection will be a plus;

English level: Upper intermediate or higher.

Project description:

Leading provider of industrial automation solutions, developing intelligent robotic systems that address complex real-world challenges across industries.

The project focuses on building and deploying advanced humanoid robotic systems powered by foundation and generalist robot models. The work involves integrating Vision-Language-Action (VLA) models with real robotic hardware to enable manipulation, mobility, and human interaction in real-world environments.

Responsibilities:

Own the complete robotics pipeline, including teleoperation data collection, model training, deployment, and validation on real robotic systems;

Integrate and adapt Vision-Language-Action (VLA) models such as OpenVLA or similar open-source frameworks for generalized humanoid skill execution;

Work with NVIDIA Isaac GR00T or similar humanoid foundation models to accelerate humanoid learning for manipulation, mobility, and human interaction;

Implement imitation learning and reinforcement learning approaches for skill acquisition;

Collect, manage, and train on teleoperation and real-world robot data;

Fine-tune foundation models using demonstrations and real-world robotic experience;

Design hybrid control systems combining learned VLA policies with classical planning and control;

Develop, test, and deploy humanoid robot skills for manipulation and interaction.

We offer:

12 working days of Paid Day Off within an individual year;

5 working days of Sick Leave;

Up to 15 working days of Unpaid Day Off within an individual year;

Compensation for sports activities, life insurance, or pet insurance (up to $250 per year) – available after the trial period;

50% of learning costs (сourses, сertifications etc.) up to $230 USD per calendar year per employee;

Referral program with bonus system;

Regular performance evaluation;

Mentorship program;

Business English courses of all levels;

Work equipment (Laptop, monitor, and small devices compensation);

Referral program - If you know someone you believe is a good fit for our cooperation, you can recommend them and get a reward;

Remote work opportunities;

Local public holidays apply depending on the employee’s country of residence.

Melissa Múnera

Recruiter