Robotics interviews are fundamentally different from software or hardware interviews alone. You're expected to think simultaneously about physics constraints, production economics, supply chain realities, and workforce implications. Generic case prep misses these critical domains.
Whether you're interviewing for manufacturing roles at Tesla, strategy positions at Boston Dynamics, or operations roles at FANUC, you need to understand how real companies think about scale: capital allocation, deployment risk, unit economics, and the intersection of automation with labor economics.
How it works
- Practice robotics cases modeled on real deployment and commercialization challenges from NVIDIA, Tesla, Boston Dynamics, FANUC, and DJI
- Get AI-powered feedback on your approach to lifecycle economics, capital allocation, and risk mitigation
- Build skills across manufacturing operations, product strategy, competitive analysis, and systems thinking
- Track your progress across 15+ robotics competencies with adaptive difficulty
Why robotics interviews need dedicated prep
Robotics roles demand a rare combination of technical depth and business acumen. You must simultaneously reason about hardware constraints (lead times, failure rates, integration complexity), operational economics (ROI timelines, labor displacement, supply chain), and strategic positioning (competitive threats from AI, regulatory change, technology disruption).
The AI coach pushes you to quantify every assumption—capital costs per unit, deployment timelines, production loss during transition, cumulative payback period. It's the difference between saying "deploy robots to cut labor" and actually defending a multi-year automation strategy through realistic decomposition.
Built for aspiring robotics leaders
This is for engineers moving into operations or strategy, operations leaders transitioning into product roles, MBAs targeting manufacturing or automation companies, and anyone preparing for roles in autonomous systems, industrial robotics, or advanced manufacturing.