Key Responsibilities:

• Research and Innovation: Conducts in-depth investigations in core robotics domains such as autonomous navigation, manipulation, perception, motion planning, or control. Regularly engages with academic literature to inform design decisions or identify novel approaches.

• Algorithm Development: Designs, implements, and optimizes algorithms using techniques from robotics, computer vision, and machine learning to enable intelligent behavior in robots.

• System-Level Integration: Develops robust, modular software systems that interface with hardware components, including sensors, actuators, and embedded controllers, often within ROS-based architectures.

• Prototyping and Evaluation: Builds and tests robotic prototypes both in simulation and on hardware platforms, applying rigorous metrics to evaluate performance and iterate on designs.

• Cross-Functional Collaboration: Works closely with hardware, embedded, and software engineering teams to ensure seamless integration and deployment of robotic systems. Also mentors junior engineers and contributes to a collaborative engineering culture.

• Knowledge Contribution: Brings research insight into practice by summarizing findings from academic papers, conducting original investigations, and authoring internal documentation or external publications when applicable.

  
  Key Competencies & Skills

• Advanced degree (MS or PhD) in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field.

• 5+ years of experience in robotics-focused R&D, with a strong track record of solving technical challenges end-to-end.

• Proficiency in Python and/or C++, ideally within the ROS ecosystem (ROS1 or ROS2).

• Hands-on experience in areas such as SLAM, control systems, motion planning, perception pipelines, or learning-based methods.

• Familiarity with core machine learning concepts and how they apply to robotics, such as model training, data processing, or sensor fusion techniques.

• Comfortable engaging with mathematical modeling and analysis as needed to support algorithmic and system design.

• Balances scientific rigor with a practical, product-oriented mindset.

• Self-motivated and comfortable navigating ambiguity in research settings.

• Strong communicator and collaborator, with a passion for advancing the field of robotics through both innovation and execution.
  
  

  Languages Needed:
  English (professional working proficiency)

  
  

  Values Alignment:
  You resonate with our no-bullshit, high-accountability culture. You’re a builder who thrives in ambiguity, believes in mission-first decisions, and prefers progress over perfection. You want your work to matter—to our team, our product, and the broader context we operate in.