Technical practice
Designing Scalable Robotics Architectures
What to coverDiscuss your approach to designing modular, scalable software architectures for autonomous systems. Focus on how you ensure real-time performance, maintainability, and the integration of heterogeneous sensors and actuators within a ROS2 ecosystem.
ROS2 and Middleware Implementation
What to coverExplain your experience with ROS2, specifically regarding node communication, lifecycle management, and quality of service (QoS) settings. Describe how you handle complex system dependencies in large-scale industrial deployments.
Sensor Fusion and Perception Strategies
What to coverDetail your experience implementing sensor fusion algorithms for autonomous navigation. Address how you handle data from disparate sources like LiDAR, cameras, and IMUs to ensure robust state estimation in dynamic industrial environments.
Simulation-to-Reality (Sim-to-Real) Pipelines
What to coverExplain how you utilize tools like NVIDIA Isaac Sim, MuJoCo, or Gazebo to validate robotics software before physical deployment. Suggestion: Focus on how you manage simulation fidelity and bridge the gap between virtual testing and real-world performance.
Motion Planning for Complex Environments
What to coverDescribe your methodology for selecting and implementing motion planning algorithms for AMRs or quadrupedal robots. Discuss trade-offs between computational efficiency and path optimality in constrained, human-populated industrial spaces.
CI/CD for Robotics Software
What to coverExplain how you implement CI/CD pipelines for robotics projects, including automated testing and deployment strategies. Suggestion: Discuss how you integrate unit tests, integration tests, and simulation-based regression testing into your development workflow.
Physical AI and Autonomous Systems
What to coverDiscuss the integration of Physical AI into robotics systems to improve adaptability. Explain how you balance traditional control theory with modern AI/ML models to enhance robot intelligence and safety.
Software Engineering Best Practices
What to coverExplain how you enforce clean-code practices and version control (Git) within a team of 3-10 engineers. Discuss your strategy for managing technical debt while meeting aggressive project timelines for PoC and pilot phases.
Behavioural practice
Leading Interdisciplinary Teams
What to coverDescribe a situation where you led a team of 3-10 professionals through a complex robotics project. Focus on how you managed technical disagreements, delegated tasks, and ensured the team met project milestones during the PoC or pilot phase.
Managing Client Expectations and Strategy
What to coverProvide an example of how you have translated complex robotics technology into a solution that addresses a specific industrial client's business need. Explain how you communicated technical risks and roadmaps to non-technical stakeholders.
Technology Evaluation and Venture Screening
What to coverDescribe a time you had to evaluate a new technology or vendor for a robotics project. Explain your criteria for benchmarking and how you justified your recommendation to leadership or clients.
Mentorship and Capability Building
What to coverShare an example of how you have mentored junior engineers or contributed to a Centre of Excellence (CoE). Describe how your guidance improved the team's technical capabilities or the quality of the delivered robotics solutions.