Technical practice
How would you structure a ROS-based system that connects perception, planning and control?
What to coverThe role calls for Python, C++ and ROS across these functions. Suggested preparation: explain how you would separate components, pass sensor data and commands between them, and decide where timing requirements favor C++ over Python.
How would you integrate cameras, sensors, actuators and an embedded controller on a robot?
What to coverThe posting explicitly calls for robotics hardware integration. Suggested preparation: describe interface checks, calibration and a stepwise test plan for finding faults between hardware and software.
How would you combine LiDAR, IMU and GPS data for localization?
What to coverThe requirements name these sensors, sensor fusion and SLAM. Suggested preparation: discuss what each sensor contributes, how you would handle inconsistent readings, and how you would assess localization accuracy.
How would you plan and update a route for an autonomous robot?
What to coverNavigation, path planning and motion planning are stated duties. Suggested preparation: distinguish route selection from responding to new obstacles, and explain how you would evaluate whether the robot reached its goal safely.
How would you control a robot's motion during object manipulation?
What to coverThe role includes manipulation and names PID control and reinforcement learning among relevant techniques. Suggested preparation: explain feedback control, tuning and when a learned approach might or might not be justified.
How would you connect object detection and tracking to a robotic control loop?
What to coverThe posting specifically calls for linking Vision AI models, including detection, tracking and anomaly detection, to control. Suggested preparation: address uncertain predictions, processing delays and what the robot should do when visual evidence is unreliable.
Where would an agentic AI workflow or LLM fit in an autonomous robot?
What to coverThe role describes agentic decision-making and LLM-based multimodal perception and reasoning; named agentic frameworks are a plus, not a requirement. Suggested preparation: distinguish high-level reasoning from time-sensitive control and explain how decisions would be constrained and checked before physical action.
How would you use simulation before testing a robot in real-world conditions?
What to coverThe posting names ROS, Gazebo, Webots and Isaac Sim for prototyping and testing, followed by real-world validation. Suggested preparation: describe test scenarios, performance measures and how you would investigate differences between simulated and physical behavior.
How would you optimize robotics software for edge hardware?
What to coverThe deployment duties name Jetson, Raspberry Pi, FPGAs and custom boards. Suggested preparation: discuss measuring compute load, latency and memory use, then weigh performance changes against perception or control quality.
How would you validate and improve a robot after field deployment?
What to coverThe role calls for performance testing, reliability, safety, compliance and feedback loops for continuous improvement. Suggested preparation: explain what evidence you would collect, how you would prioritize failures and how you would verify a change before deploying it.
Behavioural practice
Tell me about a time you coordinated across hardware, AI and software teams.
What to coverThe posting emphasizes cross-functional work, including collaboration with Platform and AgentOps teams on deployment. Use a real situation, your specific actions to resolve differing constraints, and the resulting outcome.
Describe a difficult robotics or integration problem you diagnosed.
What to coverThe role calls for analytical problem-solving across sensors, software and control. Give a real example showing the symptoms, the tests you performed, what you changed and the measured or observed result.
Tell me about a time you took ownership of a system from prototype toward deployment.
What to coverThe advertised work spans concept, testing and production. Use a real example to explain your responsibility, how you handled handoffs or unresolved issues, and what happened.
Describe a time safety or reliability concerns changed a technical decision.
What to coverThe posting explicitly emphasizes reliable, safe and compliant robotics deployments. Explain a real situation, the risk you identified, your decision and the outcome without assuming a particular regulatory standard.
Tell me about a time real-world feedback caused you to revise a technical approach.
What to coverThe role includes field validation and feedback loops for improvement. Give a real example of the initial assumption, the evidence that challenged it, the action you took and the result.