Dive deeper. Aim higher.
At Abysalto, that’s not just a motto — it’s how we work.
We are expanding into Embodied AI — bringing intelligence into the physical world. With our recently acquired Unitree G1 humanoid robot and Unitree Go2 quadruped platform, we are starting R&D and pilot projects focused on autonomous behavior, perception, navigation, and AI-powered interaction.
We’re looking for an Embodied AI Engineer — someone who is excited about bridging robotics, AI, and real-world deployment.
Ready to dive in?
🔷 What will you do?
- Develop and integrate AI capabilities into humanoid and quadruped robotic platforms
- Work with ROS2 and DDS-based communication pipelines for robot control and perception
- Implement perception modules using LiDAR, depth cameras, and sensor fusion
- Develop autonomous behaviors using mjlab, Nvidia Isaac Lab/Sim, RL: navigation, obstacle avoidance, interaction logic
- Integrate AI components (LLMs, STT, TTS, vision models) into real-time robotic workflows
- Deploy and optimize AI workloads on embedded hardware (e.g. NVIDIA Jetson / edge devices)
- Build and test robotic applications in lab and pilot environments
- Collaborate with AI Backend, ML, and Data teams to connect robotics systems with cloud or on-prem AI services
- Debug real-world behavior issues: latency, control stability, sensor noise, environment constraints
- Contribute to internal R&D prototypes and client-facing demos
🔷What do we expect from you?
- Strong programming skills in Python (C++ is a bonus)
- Experience with ROS2 (topics, services, nodes, launch files), mjlab and/or Nvidia Isaac frameworks
- Understanding of robotic systems: kinematics, coordinate frames, control loops
- Experience working with sensors (LiDAR, IMU, depth cameras)
- Familiarity with Linux environments and networking
- Ability to debug complex distributed systems (robot + edge + backend)
- Strong problem-solving mindset and comfort with experimentation
- Good communication skills in English
🔶 Nice to have
- Experience with humanoid and/or quadruped platforms
- Experience with SLAM, navigation stacks, and motion planning
- Knowledge of reinforcement learning and imitation learning
- Experience with NVIDIA Jetson / edge AI optimization
- Familiarity with DDS-based middleware
- Experience integrating LLM-based interaction into robotic systems
- Exposure to simulation environments (e.g. Isaac Sim, mjlab), sim2sim, sim2real
- Experience working in research or R&D-heavy environments
🔷What do we offer?
- A chance to work on cutting-edge Embodied AI systems
- Direct hands-on experience with humanoid and quadruped robotics
- Opportunity to shape our robotics R&D direction from an early stage
- Modern tech setup, GPU infrastructure, and embedded platforms
- Flexible working hours with hybrid work option (robot testing on-site)
- Agile workflows with a strong engineering culture
- Support for conferences, learning, and robotics/AI community engagement
- A chance to build intelligent physical systems that interact with the real world
We solve complex technological challenges in order to simplify and improve everyday lives of millions of people. Our goal is to become a leader in the software industry, recognized for excellence and quality.
If you're ready to shape what’s yet to be — send us your CV.
Apply via the link below.
We look forward to meeting you!