Robotec.ai is a software company that empowers the development of simulation platforms for robotics applications. Our Simulation and Robotics teams deliver ROS2-enabled, scalable simulation solutions for automotive, agriculture, manufacturing, logistics, mining & construction. Our Driver Monitoring Team provides data for training and validation of Driver Monitoring System algorithms. We believe that human centered robotics and open source are the future of sustainable growth.

If you want to learn more about projects you will work on in our company, check out our Case Studies or our projects on GitHub.

We are currently looking for an experienced CUDA Engineer.

About the project:

We are working on a cross-platform (Windows and Linux), C/C++ library developed for simulating LiDARs on CUDA-enabled GPUs, accelerated by RTX cores.

One of the use-cases is implementing Lidar sensors in simulation engines. We are also working on integrations with popular game / simulation engines such as Unity, O3DE and Gazebo.

Requirements

• Strong software engineering skills in C/C++
• MSc. or PhD in Computer Science or related field.
• Expertise in CUDA and GPU architecture.
• At least 2 years of experience working under Linux (we use Ubuntu 20).
• Experience with essentials of modern development such as git, code review, CI/CD, unit testing.
• Ability to solve problems and lead tasks.
• Ability and strong motivation to learn and upskill rapidly.
• Team-player mindset and good communication skills
• Self-motivation and ownership.
• Genuine interest in robotics, computer graphics and simulaton.
• Fluent English.

Additional – great to have skills:

• Team leadership or project management skills.
• Experience using ROS, especially ROS 2.
• Understanding of robotics, electronics and sensors (LiDAR, IMU)
• Experience using Unity3D and Unreal Engines.

Benefits

What’s in it for you:

• Work with the latest technologies.
• Opportunity to contribute to open source.
• Competitive salary (up to 26 000 zł on B2B).
• Comfortable working conditions.
• Private medical care and sports card.
• Flexible working hours in hybrid mode / remote possible.
• Friendly and team-oriented culture.