The technical round focused heavily on real-time systems and machine learning challenges.

Questions revolved around designing a multi-camera perception system for autonomous driving and implementing a semantic segmentation model with strict latency requirements.

I felt prepared, having worked through the architecture breakdown pages on PracHub the week prior.

One of the DSA questions about handling distribution shifts for a deployed model was particularly tricky, but my earlier prep made a difference.

The overall process was rigorous, but I ended up accepting the offer, excited to join Tesla.