Type · algorithmic

How to Pass the Mylight150 Software Engineer Interview in 2026
Growth · Software Engineer Interview Guide
Sign up to see ATSHeadquartered in FranceInterview language: English
The Mylight150 DNA (TL;DR)
The Mylight150 Interview Loop
Your onsite loop will typically consist of 5 rounds.
- 1
Round 1
Recruiter ScreenMotivation, role fit, logistics. - 2
Round 2
Coding ScreenLeetCode-medium algorithmic problems under time pressure. - 3
Round 3
System DesignDistributed systems, trade-offs at scale, architecture under constraints. - 4
Round 4
Onsite CodingLeetCode-hard problems, reasoning about defects, code clarity, edge cases. - 5
Round 5
Behavioral / LeadershipPast evidence of ownership, influence, resolving conflict.
The Danger Zone: Top Reasons Candidates Fail
Based on our database of Mylight150 interview outcomes, avoid these common traps:
- Choosing a simple array and iterating through it for each query, leading to O(n) query time.
- Giving a generic answer about 'wanting to help the environment' without connecting it to Mylight150's specific work.
- Failing to account for the time-series nature of the data or introducing too much latency in detection.
- Ignoring the specific constraints of the Batterie Virtuelle model
Test Yourself: Real Mylight150 Questions
Three real prompts pulled from our database.
Type · distributed-systems
Type · architecture
+ many more questions, signals, and worked examples
Sign up to unlock the full Mylight150 grading rubric
Mylight150 Interview Question Bank
A sample from our database, grouped by round. Sign up to see the full set.
9 of 12 questions shown
Recruiter Screen
1- 1
Type · motivation
Mylight150 is focused on accelerating the transition to clean energy. What specifically about our mission or technology excites you, and how does it align with your career goals as a software engineer?
Coding Screen
3- 2
Type · algorithmic
Imagine you have real-time sensor data from thousands of solar panels, reporting their energy output and temperature. Design an algorithm to detect panels that are underperforming significantly compared to their peers under similar environmental conditions (e.g., same sunlight intensity, ambient temperature). - 3
Type · data-structures
Given a stream of energy consumption readings (timestamp, kWh) for a city's grid, implement a data structure that can efficiently answer queries for the maximum energy consumption within any given time range [T1, T2]. - + 1 more questions in this round (sign up to unlock)
System Design
3- 4
Type · distributed-systems
Design a system to monitor and predict energy load for a region based on historical data, weather forecasts, and special events (e.g., holidays, major sporting events). The system needs to handle millions of data points daily and provide predictions with high accuracy. - 5
Type · architecture
Mylight150 wants to build a platform for homeowners to track their solar energy production, consumption, and battery storage in real-time. Design the backend architecture for this platform, considering data from smart meters and inverters. - + 1 more questions in this round (sign up to unlock)
Onsite Coding
2- 6
Type · debugging
A user reports that their smart thermostat, connected via our platform, is showing incorrect temperature readings intermittently. Here's a simplified log snippet from the thermostat and the backend service. Debug this issue and explain your thought process. - 7
Type · algorithmic
Given a list of energy generation sources (e.g., solar farms, wind turbines) with their predicted output over the next 24 hours and a list of energy storage units (e.g., batteries) with their capacity and charge levels, devise an algorithm to maximize the utilization of renewable energy while ensuring grid stability by optimally charging and discharging storage units.
Behavioral / Leadership
3- 8
Type · problem-solving
Tell me about a time you encountered a significant technical challenge on a project that had a tight deadline. How did you approach the problem, what steps did you take, and what was the outcome? - 9
Type · collaboration
When building the logic for our Batterie Virtuelle optimization, we often weigh maximizing self-consumption against preserving battery cycle life. Describe a time you and a peer proposed competing technical strategies for a load-balancing algorithm. How did you evaluate the performance trade-offs for the end user and reach a decision? - + 1 more questions in this round (sign up to unlock)
Unlock all 12 Mylight150 questions, free
No credit card. Every question with its framework, the grading signals interviewers score against, and a worked answer for each.
Interview tracks at Mylight150
How Mylight150's DNA translates across functions. Pick your role.
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Practice Mylight150 interviews end-to-end
Mylight150 Mock Interview
Run a live mock interview with our AI interviewer using Mylight150-style prompts. Get scored on structure, signal, and answer length - exactly how the real loop grades you.
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STAR Stories for Mylight150 Behavioral Rounds
Build a Story Bank of your past wins, mapped to the leadership signals Mylight150 interviewers grade on. Reuse them across every behavioral round.
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Mylight150 Interview Prep Hub
The frameworks behind every Mylight150 round: CIRCLES for product sense, hypothesis-driven debugging for analytical, STAR for behavioral. Learn each one in 10 minutes.
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Interview Frameworks
CIRCLES, STAR, AARRR, RICE, MECE. The exact frameworks that make Mylight150 interviewers nod instead of frown. Step-by-step playbooks with the moves and the pitfalls.
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Sample answers
What a strong answer to these Mylight150 interview questions shows.
Imagine you have real-time sensor data from thousands of solar panels, reporting their energy output and temperature. Design an algorithm to detect panels that are underperforming significantly compared to their peers under similar environmental conditions (e.g., same sunlight intensity, ambient temperature).
A strong answer shows: Ability to define 'similar environmental conditions' and segment data effectively.; Use of efficient data structures and algorithms for real-time processing.; Consideration of false positives/negatives and potential thresholds for alerts..
Design a system to monitor and predict energy load for a region based on historical data, weather forecasts, and special events (e.g., holidays, major sporting events). The system needs to handle millions of data points daily and provide predictions with high accuracy.
A strong answer shows: Designing microservices for data ingestion, processing, prediction, and serving.; Selecting appropriate databases (e.g., time-series DB, data warehouse) and caching strategies.; Discussing strategies for model training, deployment, and A/B testing.; Addressing fault tolerance and scalability concerns..
Frequently asked questions
How long does the Mylight150 interview process take?
Most candidates spend between 4 and 8 weeks from recruiter screen to offer. The onsite loop itself runs in a single day or is split across two half-days, with debrief and offer typically within 5 business days after.
How should I prepare specifically for Mylight150?
Focus on three things: (1) the company DNA shown above - what they actually grade for, (2) the rounds in your loop, especially the round most candidates underestimate, and (3) drilling on the question types in this guide using a structured framework like CIRCLES or STAR.
Does this apply to engineering or design roles at Mylight150?
The DNA stays the same - what changes is the round mix. SWE candidates face coding screens instead of Product Sense; designers face portfolio reviews and design exercises. The "what they value" and behavioral signals carry across all functions.