Technical practice
Architecting High-Throughput Simulation Systems
What to coverDiscuss your approach to designing simulation architectures that handle high-throughput, real-time execution. Focus on how you manage data flow, synchronization, and resource allocation to ensure the system remains performant under heavy load.
Modern C++ for Performance-Critical Systems
What to coverExplain how you leverage C++14 or newer features to optimize performance in robotics or simulation software. Highlight your experience with memory management, concurrency, and minimizing latency in high-performance applications.
AI-Enabled Test Case Generation
What to coverDescribe how you would design a framework that uses real-world driving data to generate simulation test cases. Address how you ensure the generated cases are representative, diverse, and effective at identifying edge cases in an autonomous stack.
Integrating Perception and Hardware-in-the-Loop
What to coverExplain the technical challenges of implementing perception-in-the-loop and hardware-in-the-loop testing. Discuss how you maintain timing accuracy and data fidelity when integrating physical hardware or sensor data into a virtual simulation environment.
Computational Geometry in Autonomous Systems
What to coverProvide examples of how you have applied linear algebra and computational geometry to solve robotics problems, such as collision detection or trajectory planning. Explain the trade-offs between different algorithms for spatial queries or geometric transformations.
Graphics APIs for Simulation
What to coverDiscuss your experience with OpenGL or Vulkan in the context of simulation. Explain how you use these APIs to render complex environments efficiently while maintaining the necessary fidelity for sensor simulation.
ROS2 Integration and Scalability
What to coverDescribe your experience with ROS2 and how you have used it to build scalable robotics infrastructure. Focus on how you handle inter-process communication and node management in complex, multi-robot or high-throughput systems.
Evaluating Internal vs. Third-Party Infrastructure
What to coverWhen contributing to technical roadmaps, what criteria do you use to decide whether to build a custom simulation tool or adopt a third-party solution? Discuss the trade-offs regarding maintenance, flexibility, and long-term integration.
Behavioural practice
Mentoring and Technical Leadership
What to coverDescribe a time you mentored junior or mid-level engineers to improve their technical output or system design skills. Focus on how you balanced providing guidance with allowing them to solve problems independently.
Collaborating Across Engineering Disciplines
What to coverShare an example of how you collaborated with robotics or systems engineers to solve a complex integration challenge. Explain how you ensured alignment on requirements and technical constraints across different teams.
Advocating for Robust System Design
What to coverProvide an example of a time you advocated for a specific architectural change or best practice to improve system reliability. Explain how you communicated the long-term benefits to stakeholders and addressed any pushback.
Managing Technical Debt in Infrastructure
What to coverDescribe a situation where you had to balance the need for rapid feature development with the necessity of maintaining a robust, scalable testing infrastructure. How did you prioritize tasks to ensure long-term stability?