Tesla interview practice
Practice from 20 Tesla-tagged public coding problems, organized only by the stage, topic, difficulty, and recency metadata FastPrep can verify. The broader public catalog also includes 6 system-design exercises, 1 project-coding exercise.
OA practice path
Build a timed implementation rhythm from prompt to edge cases. Problems are ranked by repeated public catalog sightings.
| Company | Problem | Difficulty | Public evidence | Action |
|---|---|---|---|---|
TETesla | Count Zero-Sum FragmentsArrayPrefix Sum | Medium | 1 public reportLast reported Jun 2026 | Practice |
TETesla | Maximum Insertions Without Three Consecutive AStringGreedy | Medium | 1 public reportLast reported Jun 2026 | Practice |
TETesla | Smallest Greater Integer With Same Digit SumMathSimulation | Easy | 1 public reportLast reported Jun 2026 | Practice |
TETesla | Maximum Number of Workers with Equal Left and Right ShoesStringPrefix Sum | Easy | 1 public reportLast reported Mar 2025 | Practice |
TETesla | Maximum Even-Sum Adjacent Pairs in a Circular ArrayArrayGreedy | Medium | 1 public reportLast reported Oct 2021 | Practice |
Phone practice path
Practice solving while explaining assumptions, tradeoffs, and complexity. Problems are ranked by repeated public catalog sightings.
12 Tesla-tagged Phone Screen problems available.
| Company | Problem | Difficulty | Public evidence | Action |
|---|---|---|---|---|
TETesla | Flatten a Branched List into a Doubly Linked ListLinked ListDepth-First Search | Medium | 1 public reportLast reported Sep 2026 | Practice |
TETesla | Reduce-Based Map and Filter PipelineArraySimulation | Easy | 1 public reportLast reported Sep 2026 | Practice |
TETesla | Resilient Fake API ClientStringSimulation | Medium | 1 public reportLast reported Sep 2026 | Practice |
TETesla | Merge JSON Array FieldsParsingHash Table | Medium | 1 public reportLast reported Aug 2026 | Practice |
TETesla | KV Store with RollbackDesignHash Table | Medium | 1 public reportLast reported Apr 2026 | Practice |
TETesla | Multi-Channel Valid ConvolutionArrayMatrix | Medium | 1 public reportLast reported Oct 2024 | Practice |
TETesla | Course Schedule FeasibilityGraphDepth-First Search | Medium | 1 public reportLast reported Aug 2024 | Practice |
TETesla | Average of a Fixed-Size ArrayArrayMath | Easy | 1 public reportLast reported Jun 2024 | Practice |
TETesla | Swap Even and Odd BitsBit Manipulation | Easy | 1 public reportLast reported Mar 2023 | Practice |
TETesla | Find the Intersection Node of Two Linked ListsLinked ListTwo Pointers | Easy | 1 public reportLast reported Oct 2022 | Practice |
TETesla | Priority, Expiration, and LRU EvictionArrayGreedy | Medium | 1 public reportLast reported Mar 2021 | Practice |
TETesla | Batched Strided ConvolutionArrayMatrix | Medium | 1 public reportLast reported Nov 2019 | Practice |
Onsite practice path
Practice complete solutions and defend the choices behind them. Problems are ranked by repeated public catalog sightings.
| Company | Problem | Difficulty | Public evidence | Action |
|---|---|---|---|---|
TETesla | Alternate Positive and Negative ValuesArrayTwo Pointers | Easy | 1 public reportLast reported Aug 2026 | Practice |
TETesla | Enumerate Character Paths to a MarkerArrayMatrix | Medium | 1 public reportLast reported Aug 2026 | Practice |
TETesla | Shared Counter Snapshot SumArraySimulation | Medium | 1 public reportLast reported Aug 2026 | Practice |
01 · Preparation plan
Tesla's available software exercises provide a useful state-management study path. Rollback, structured-data merging, and shared counters each ask what a reader should observe after updates. This preparation does not claim to cover vehicle engineering, autonomy models, hardware interviews, or every Tesla team's process. This is a suggested practice sequence, not the employer's interview process. Your invitation and recruiter guidance remain the source of truth.
Use the key-value store to define which updates belong to a reversible operation. A rollback should restore observable values, not merely remove the latest key.
The JSON-array exercise is useful for separating matching rules from output assembly. Specify which fields combine and what happens when values conflict.
Use the shared-counter task to distinguish individually correct reads from a consistent aggregate. Follow the exercise's concurrency model rather than assuming atomicity.
02 · Broader technical practice
These public Tesla-tagged exercises cover additional technical formats. They are included only when a verified catalog record and a crawlable practice page both exist.
Design durable batched large-file upload, synchronous request outcomes, authorized download, content-addressed byte reuse, offline terminal notification, and reference-safe deletion.
Open practiceDesign a reliable order-fulfillment workflow that reserves inventory, assigns fulfillment sites, coordinates shipments, and exposes trustworthy order status.
Open practiceDesign video upload, processing, storage, search, download, and adaptive playback at scale.
Open practiceCoordinate charging sessions, energy billing, stall telemetry, and fresh geospatial availability across intermittently connected stations.
Open practiceDesign an end-to-end pipeline that computes affected monorepo targets, builds and stores immutable artifacts, and safely promotes vehicle software through controlled rollout waves.
Open practiceDesign global delivery of versioned static objects through edge caches with bounded invalidation and resilient origin protection.
Open practiceCoordinate ten parallel executions across two exclusive targets while keeping both targets busy.
Open practice03 · Evidence boundary
It means practicing transferable implementation, testing, and technical reasoning with public catalog assets FastPrep tags to Tesla. It does not mean FastPrep has access to the company's assessments or any private interview bank.
Repeated public sightings and last-reported dates can help you prioritize practice, but they cannot predict the questions, format, or platform in a specific interview.
04 · Plain answers
This page owns technical-practice intent for Tesla. Hiring activity, timelines, and market signals remain on the separate hiring-insights page.
Not a specialist one. The verified assets here support general coding and some design practice. They do not establish a curriculum for control systems, embedded timing, perception, or vehicle hardware. Follow the actual role requirements and use this page for the transferable programming portion.
No. FastPrep is an independent interview-preparation product and is not affiliated with Tesla. The page uses FastPrep's public practice catalog and does not claim official, private, leaked, or proprietary employer questions.
Stage labels come from FastPrep's public problem metadata. A problem can carry more than one reported stage, and hiring processes can change by role, level, location, and date. Treat the labels as preparation context, not a guarantee.
Start with the stage named in your invitation or recruiter message. If no stage is known, use the largest available set to build general problem-solving fluency, then rehearse explanation and testing separately.
No. Public catalog counts, stage tags, and last-reported dates can help prioritize practice, but they cannot predict a specific interview's questions, sequence, timing, or platform.
Your next stage, made concrete
Start with the stage named in your invitation, then use public evidence as context—not as a promise of what you will be asked.
Open the practice set