went through the Tesla SWE loop earlier this year for a senior-level embedded/firmware-adjacent role on the energy software side. got an offer. also made a bunch of mistakes prepping that cost me time. here's what i'd do differently.
what i wasted time on
generic leetcode grinding. Tesla does ask coding questions but they are not LeetCode-hard filter problems. the ones i saw were solidly medium difficulty, graph traversal and some array manipulation. i spent three weeks doing LC hard when i should have been doing something else.
what actually matters
Systems design. this is where they probe deepest, at least for senior+ roles. they want to see that you can design something that works in a resource-constrained environment. think about it: these people build cars and energy storage systems. they actually care if your design wastes memory or adds latency. i got a question about designing a distributed telemetry ingestion system for vehicles and they pushed hard on fault tolerance and backpressure. not abstract "how would you design twitter" vibes. more like: what breaks first and how do you know.
The mission pitch. Tesla's behavioral round is lighter than most FAANG loops but they will ask why Tesla specifically. they are not looking for flattery. they want to know you've thought about the actual engineering problems they have. saying "i believe in EVs" is table stakes and gets you nothing. having an opinion about, say, energy grid software or manufacturing automation tooling goes much further.
Knowing your own resume cold. i got grilled on a distributed caching layer i listed from a job two years prior. had to reconstruct the design decisions live. embarrassing. review your past work like you'd explain it to someone skeptical.
the pace
Tesla moves fast compared to FAANG. my loop was recruiter screen, one technical phone screen (45 min, live coding in a shared editor), then onsite (virtual in my case): four rounds in one day. two coding, one systems design, one behavioral. debrief was internal only so i never heard specifics, but offer came within a week of the onsite. that turnaround time was one of the faster ones i've experienced.
honest caveat
this was one loop, one team, 2026. Tesla is not a monolith and interview quality varies by org. Autopilot vs energy vs manufacturing all feel like different companies. if your recruiter is responsive and specific, that's a decent signal about the team. if they're vague about what the role actually does: ask directly. you'll find out now or you'll find out on week two when you're debugging tooling nobody owns.