Tesla Software Engineer Phone Screen Questions
7+ questions from real Tesla Software Engineer Phone Screen rounds, reported by candidates who interviewed there.
What does the Tesla Phone Screen round test?
The Tesla phone screen typically lasts 45-60 minutes and evaluates core Software Engineer fundamentals. Candidates should expect 1-2 algorithmic problems, basic system design discussion at senior levels, and questions about relevant experience. The goal is to confirm technical competence before bringing candidates onsite.
Top Topics in This Round
Tesla Software Engineer Phone Screen Questions
This post was last edited by Anonymous on 2025-09-23 23:36. This position was offered by their sourcer; it's for the software group in the production department that monitors battery status within the
Tesla Senior SWE On-Site Expierence
Location - Fremont, CA Round 1 : Phone Screen https://leetcode.com/problems/longest-substring-without-repeating-characters/description/ **On-Site** **Round 2 :Coding 1 1. https://leetcode.com/problems/letter-combinations-of-a-phone-number/description/ 2. https://leetcode.com/problems/top-k-frequent-elements/ Round 3 : Coding 2 1. https://leetcode.com/problems/top-k-frequent-elements/description/ 2. // Given an input string s and a pattern p, implement regular...
Tesla | Full Stack Engineer (Autopilot) - New Grad | Palo Alto, CA | Oct 2022 [Reject]
About I am a new grad from a small school in Canada. I applied online and interviewed on-site at Tesla\'s Palo Alto office in early October 2022. Phone Screens Phone Screen 1 (45...
Tesla Phone screen
I had my phone screen today with Tesla for SWE position, I was asked to implement PriorityExpirationCache with LRU 1 If an expired item is available. Remove it. If multiple...
Battery Charging Profit: Maximize Profit From Buying and Selling Energy With a Battery
## Problem You have a battery with capacity `C` kWh. Given hourly electricity prices for the next `T` hours, decide when to charge (buy energy at current price) and when to discharge (sell energy at current price). You can charge or discharge at most `R` kWh per hour. Maximize total profit. ```python def max_battery_profit( prices: list[float], # prices[t] = price per kWh at hour t capacity: float, # max energy stored rate: float # max charge/discharge per hour ) -> float: # Return maximum profit (revenue from discharging - cost of charging) pass ``` **Example:** ``` prices = [10, 20, 15, 30, 5, 25] capacity = 2.0, rate = 1.0 # Charge 1 kWh at t=0 (cost 10), discharge at t=3 (revenue 30) # Charge 1 kWh at t=4 (cost 5), discharge at t=5 (revenue 25) Output: 40.0 # profit = (30-10) + (25-5) ``` ## Follow-ups 1. Is a greedy approach correct here, or do you need DP? Give a counterexample for greedy if it fails. 2. Write the DP recurrence: `dp[t][charge_level]` = max profit through hour `t` with `charge_level` kWh stored. 3. If you can also pay a degradation cost per charge/discharge cycle, how does the model change? 4. How would you solve this if prices are not known in advance (online algorithm)?
## Problem Merge or process overlapping battery discharge intervals to compute total energy used. ## Likely LeetCode equivalent Similar to LC 56 Merge Intervals. ## Tags heap, intervals, tesla
## Problem Schedule GPU tasks across available workers to minimize total completion time or idle time. ## Likely LeetCode equivalent Similar to LC 1834 Single-Threaded CPU. ## Tags greedy, scheduling, tesla, heap
What to Expect in the Tesla Phone Screen Round
The Tesla Software Engineer Phone Screen round has a specific calibration purpose distinct from other rounds in the loop. Across 7+ verified reports on LeakCode for this exact round type, the consistent expectations: clear scoping of the problem before diving into a solution, explicit reasoning about complexity, structured handling of edge cases, and the ability to discuss trade-offs between two reasonable approaches.
Reports tagged with the Phone Screen round at Tesla show recurring patterns in difficulty and topic distribution. The Phone Screen round is typically 45-60 minutes; the interviewer is calibrated against a specific rubric. The discriminator between candidates who advance and candidates who do not is rarely the final correctness of the answer. It is the path: did you clarify, did you verbalize your approach, did you handle edge cases, and did you communicate throughout.
How To Prepare for This Specific Round
Filter the questions below to the most recent reports (past 6-12 months). Questions tagged for this exact round type from this exact company at this exact role level are the highest-signal data available. Older reports may reference questions that have since rotated out of the company's pool.
Practice 4-6 representative problems from this set under timed conditions. The goal is not memorization (companies rotate questions); the goal is to internalize the patterns the interviewer typically reaches for and the depth of follow-up to expect. Reports on LeakCode also tag the typical follow-up depth at this round type, which is the discriminating signal between hire and no-hire calibration.
Phone Screen Round Timing and Format
The Phone Screen round at Tesla typically runs 45-60 minutes. Use the first 2-3 minutes to clarify requirements; you should never start coding or designing without verifying the input/output format, constraints, and edge cases out loud. Use the next 5-7 minutes to verbalize your approach before writing any code. The middle 20-30 minutes are implementation. Reserve the final 10 minutes for testing with concrete examples and discussing optimization or trade-offs.
Time budget discipline is one of the most reliable senior-vs-junior discriminators in this round. Strong candidates verbalize where they are in their budget out loud ("I've used about 20 minutes, I have 15 minutes left for testing and one optimization"). This signals engineering maturity to the interviewer and creates positive feedback they can capture in writing.
Common Failure Modes in This Round
Reports tagged "no hire" at Tesla Software Engineer Phone Screen commonly cite: coding silently without verbalizing approach, jumping to implementation before clarifying requirements, missing edge cases (empty input, single element, very large input), producing working code that the candidate cannot refactor when asked, and failing to test their solution with concrete examples before declaring done.
The single most predictive failure mode in 2025-2026 reports: not asking clarifying questions. Interviewers at all FAANG companies are explicitly trained to weight this dimension. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into code immediately. The clarifying-question check is often the first signal recorded in the interviewer's notes.
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