Tech Stack
TRl (Transformer Reinforcement Learning)
Job Description, Responsibilities & Requirements
About the Position
inVerita is looking for a Senior Robotics Engineer to join our team. We are a 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.
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.
Requirements
- 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.
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 (courses, certifications, 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).
- Remote work opportunities.
- Local public holidays apply depending on the employee’s country of residence.
About the Company
inVerita is a leading provider of industrial automation solutions, developing intelligent robotic systems that address complex real-world challenges across industries.