How to Pass the TotalEnergies Software Engineer Interview in 2026

The TotalEnergies DNA (TL;DR)

TotalEnergies values strong technical acumen, problem-solving skills, and a commitment to safety and sustainability. They assess candidates' ability to innovate and contribute to complex, large-scale energy projects, emphasizing alignment with their energy transition strategy.

The TotalEnergies Interview Loop

Your onsite loop will typically consist of 4 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 TotalEnergies interview outcomes, avoid these common traps:

Inefficiently iterating through all possible combinations of N installations.
Choosing a monolithic architecture instead of a scalable, distributed one.
Not considering the specific query patterns (e.g., time-based range queries vs. complex joins).
Not optimizing the search for the N installations within the radius.

Test Yourself: Real TotalEnergies Questions

Three real prompts pulled from our database.

Type · motivation

What interests you about working as a Software Engineer at TotalEnergies, particularly within the energy sector?

Type · algorithmic

You are given a list of solar panel installations, each with its location (latitude, longitude) and peak power output. Write a function to find the N installations that would provide the maximum combined power output if they were to be connected to a single grid point, considering only installations within a certain geographical radius of that point. Assume a simplified model where distance doesn't affect power output, only selection.

Type · trade-offs

Consider a system that aggregates energy consumption data from millions of smart meters. Discuss the trade-offs between using a relational database (like PostgreSQL) versus a NoSQL database (like Cassandra or InfluxDB) for storing and querying this high-volume, time-series data.

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TotalEnergies Interview Question Bank

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

9 of 15 questions shown

Recruiter Screen

1
Type · motivation
What interests you about working as a Software Engineer at TotalEnergies, particularly within the energy sector?

Coding Screen

2
Type · algorithmic
Given a stream of sensor data from a wind turbine (temperature, vibration, rotational speed), write a function to detect anomalies that could indicate potential mechanical failure. Assume anomalies are defined as values exceeding a certain threshold or sudden large deviations from the recent average.
3
Type · algorithmic
You are given a list of solar panel installations, each with its location (latitude, longitude) and peak power output. Write a function to find the N installations that would provide the maximum combined power output if they were to be connected to a single grid point, considering only installations within a certain geographical radius of that point. Assume a simplified model where distance doesn't affect power output, only selection.
+ 1 more questions in this round (sign up to unlock)

System Design

4
Type · distributed-systems
Design a system to monitor and predict the energy output of a large network of solar farms in real-time. The system should ingest data from thousands of sensors (weather, panel status, grid connection) and provide predictions for the next hour and day.
5
Type · architecture
How would you design a distributed system to manage and optimize the charging schedules for a fleet of electric vehicles (EVs) used for logistics, considering variable electricity prices and delivery deadlines?
+ 2 more questions in this round (sign up to unlock)

Onsite Coding

6
Type · algorithmic
Implement a function that takes a list of energy production events (timestamp, power output) and calculates the total energy produced within a given time window. Handle overlapping events and ensure accurate summation, considering potential floating-point precision issues.
7
Type · debugging
Here is a Python script intended to calculate the carbon footprint of a fleet of vehicles based on fuel consumption. It's producing incorrect results. Debug and fix the script. [Provide a buggy script here, e.g., incorrect unit conversions, off-by-one errors in loops, flawed logic for different fuel types].
+ 2 more questions in this round (sign up to unlock)

Behavioral / Leadership

8
Type · past-experience
Tell me about a time you had to work with a complex, legacy system. What were the challenges, and how did you approach understanding and improving it?
9
Type · past-experience
Describe a situation where you identified a technical bottleneck or inefficiency in a project's software development lifecycle. What steps did you take to address it, and what was the result?
+ 1 more questions in this round (sign up to unlock)