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.

Other roles at Mylight150:Product Manager Software Engineer Sales Supply Chain

Growth · Software Engineer Interview Guide

How to Pass the Mylight150 Software Engineer Interview in 2026

The Mylight150 DNA (TL;DR)

Mylight150's interviewers prioritize candidates who articulate how their contributions directly enhance the 'Batterie Virtuelle' offering. They seek individuals who can clearly define trade-offs when optimizing energy storage solutions for clients like Guillaume Client, focusing on tangible impact.

The Mylight150 Interview Loop

Your onsite loop will typically consist of 5 rounds.

1
Round 1
Recruiter Screen
Motivation, role fit, logistics.
2
Round 2
Coding Screen
LeetCode-medium algorithmic problems under time pressure.
3
Round 3
System Design
Distributed systems, trade-offs at scale, architecture under constraints.
4
Round 4
Onsite Coding
LeetCode-hard, debugging, code clarity, edge cases.
5
Round 5
Behavioral / Leadership
Past 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.
Focusing only on 'winning' the argument rather than finding the best technical solution.

Test Yourself: Real Mylight150 Questions

Three real prompts pulled from our database.

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].

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.

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?

+ many more questions, signals, and worked examples

Unlock the rubric

Mylight150 Interview Question Bank

A sample from our database, grouped by round. Sign up to see the full set.

9 of 13 questions shown

Recruiter Screen

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

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

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

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.
+ 1 more questions in this round (sign up to unlock)

Behavioral / Leadership

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
Describe a situation where you had a technical disagreement with a colleague or team lead regarding an architectural decision or implementation detail. How did you handle the discussion, and what was the resolution?
+ 1 more questions in this round (sign up to unlock)