Leveling IC3→staff, OpenAI/Anthropic loops, coding rounds, behavioral/values, and the cross-pillar Q&A bank.
A four-week prep plan for an Applied AI Engineer role on Qualcomm's Datacenter AI team in Bengaluru — cloud applied AI, app development, and AI-infra work on top of the AI200/AI250 racks. What the org builds (as of July 2026), what the loop tests, the leveling and offer math, and exactly which pillar drills each round.
Every AI-engineering loop still opens with a LeetCode-medium coding round, and it's pass/fail before anyone asks about agents. Sixteen patterns, a daily protocol with spaced review, and a four-week plan that gets you to fluent — not encyclopedic.
Round one is pass/fail and it is not a Gen-AI round — it's LeetCode-medium plus the fundamentals rapid-fire a semiconductor company still asks. The Qualcomm-specific pattern weighting, a ranked 45-problem hit list, the bit-manipulation set with pseudocode, and tiered model answers for C, OS, Linux, and Python — with an explicit line for where to stop.
The non-AI design round — distributed systems, graded at staff. The six-step drive script, the estimation numbers you carry in, a primitive toolbox (sharding, quorums, consensus, back-pressure, idempotency), and six worked designs chosen because a datacenter AI-infra org actually asks them: rate limiter, rack telemetry, job scheduler, fleet control plane, artifact distribution, log and trace storage.
Sixteen coding problems for the Qualcomm Gen AI staff loop — DSA filter, Gen-AI systems coding, concurrency, and one LLD — each with clarifying questions, pseudocode solutions, complexity, follow-ups, and what the interviewer is actually scoring.
The staff-level AI system-design round for Qualcomm's Datacenter AI org, worked end to end — the drive script, the napkin math you must produce unprompted, and six full designs (multi-tenant inference service, P/D disaggregation, on-prem RAG appliance, agent control plane, AI gateway, release-gate eval platform) with the pushback drills for each.