Robotics Engineer

NOVELIC is the world’s leading self-sustaining provider of mmWave radar sensors, perception solutions, and full-stack embedded systems. Our portfolio is supported by strong competence, quality of work, and a holistic approach gathering all modern electronics fields and software engineering under one roof, connected through lean principles and processes. NOVELIC has a dynamic and creative working environment with excellent working conditions. We offer a stable long-term career roadmap for proven team members. We always look for people with strong work ethics, adaptable and always-learning mindset, and integrity in real sense.

Key responsibilities:

• Develop and integrate robotics algorithms and ML-based systems for perception, state estimation, planning, and control
• Integrate multi-sensor perception outputs (camera, LiDAR, radar, IMU) into autonomy and decision-making stacks
• Build and maintain robot software stacks for diverse platforms
• Implement and tune algorithms for localization, mapping, sensor fusion, motion planning, trajectory optimization, and learning-based behaviors
• Work closely with perception and vision teams to consume and validate ML-based outputs (detection, depth, tracking)
• Deploy and optimize robotics software on embedded and edge compute platforms
• Support integration of autonomy stacks into real robots for demos, testing, and customer use
• Debug system-level autonomy issues spanning sensors, algorithms, and software interactions

Qualifications:

Required Skills:

• Bachelor’s degree or higher in Robotics, Computer Science, or related field
• Strong foundation in state estimation & sensor fusion, motion planning & control, localization & mapping
• Strong software engineering skills in C++ and/or Python
• Experience deploying robotics algorithms on real robotic platforms

Preferred Skills:

• 6+ years of experience in robotics algorithms, autonomy, or robotics software engineering
• ROS / ROS 2 and modern robotics middleware
• Learning-based robotics, reinforcement learning, or imitation learning
• Integrating ML models into real-time robotic systems
• Simulation tools (Gazebo, Isaac Sim, etc.)
• Experience across multiple robot morphologies (mobile, manipulation, legged)
• Hands-on, systems-level thinker comfortable working across the full autonomy stack
• Ability to work effectively with cross-functional teams in fast-paced environments
• Comfortable with ambiguity and rapid iteration in a dynamic environment
• Self-driven with a bias toward action and real-world deployment

We Offer:

• Positive environment
• Work in a growing company
• Private health insurance