How long does the GravitHy 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 GravitHy?

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 GravitHy?

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 GravitHy:Software Engineer Product Manager Supply Chain Sales

Growth · Software Engineer Interview Guide

How to Pass the GravitHy Software Engineer Interview in 2026

The GravitHy DNA (TL;DR)

The 'Electrify France' initiative at GravitHy drives evaluation for candidates who can demonstrate practical, large-scale industrial execution. Interviewers assess a candidate's ability to navigate complex project lifecycles and contribute to tangible, impactful progress in green hydrogen.

The GravitHy 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 GravitHy interview outcomes, avoid these common traps:

Making assumptions about the data source or sensor behavior without verification.
Not considering the impact of rapid production changes on the physical electrolyzer equipment.
Focusing on surface-level symptoms without tracing the root cause through the data pipeline.
Expressing frustration or difficulty without showing resilience.

Test Yourself: Real GravitHy Questions

Three real prompts pulled from our database.

Type · motivation

GravitHy is focused on decarbonizing heavy industry through green hydrogen. What specifically about our mission and technology excites you as a software engineer, and how do you see your skills contributing to our success in this challenging sector?

Type · ownership

Tell me about a time you encountered a significant technical challenge or bug in a production system that was not directly your responsibility. How did you approach the situation, what steps did you take, and what was the outcome?

Type · algorithmic

GravitHy's production process involves optimizing the flow rate of water and electricity to electrolyzers. Write a function that, given a list of historical energy prices and water availability, determines the optimal time intervals to maximize hydrogen production while minimizing cost, subject to constraints on electrolyzer ramp-up/down times and maximum power draw. Assume a simplified model for hydrogen output based on energy and water input.

+ many more questions, signals, and worked examples

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GravitHy 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
GravitHy is focused on decarbonizing heavy industry through green hydrogen. What specifically about our mission and technology excites you as a software engineer, and how do you see your skills contributing to our success in this challenging sector?

Coding Screen

2
Type · algorithmic
Imagine a distributed system that monitors the pressure and temperature of multiple electrolysis units in a green hydrogen plant. Design a function that efficiently aggregates readings from thousands of sensors, identifying units that are operating outside a safe threshold (e.g., pressure too high, temperature too low) and returning a list of anomalous unit IDs. The function should handle potential network latency and out-of-order sensor readings.
3
Type · algorithmic
GravitHy's production process involves optimizing the flow rate of water and electricity to electrolyzers. Write a function that, given a list of historical energy prices and water availability, determines the optimal time intervals to maximize hydrogen production while minimizing cost, subject to constraints on electrolyzer ramp-up/down times and maximum power draw. Assume a simplified model for hydrogen output based on energy and water input.
+ 1 more questions in this round (sign up to unlock)

System Design

4
Type · design
Design a real-time dashboard for monitoring GravitHy's hydrogen production facilities. The dashboard needs to display key metrics like hydrogen output, energy consumption, electrolyzer status, and safety alerts. Consider scalability for multiple plants, data ingestion from diverse sensor types, and low-latency updates.
5
Type · design
GravitHy plans to integrate with external energy grids to buy electricity when prices are low and sell excess hydrogen when market conditions are favorable. Design a system that can dynamically adjust production based on real-time electricity pricing and hydrogen market demand signals. Consider the complexities of interacting with external APIs and ensuring system stability.
+ 1 more questions in this round (sign up to unlock)

Onsite Coding

6
Type · algorithmic
Implement a rate limiter for API requests to our control systems. The rate limiter should support multiple clients (identified by API key) and enforce a global limit (e.g., 100 requests per second) as well as client-specific limits (e.g., client A gets 50 req/s, client B gets 10 req/s). Consider distributed environments where the rate limiter might run on multiple servers.
7
Type · algorithmic
Develop a system to predict potential equipment failures in our electrolyzers based on historical sensor data. Given a stream of sensor readings (temperature, pressure, voltage, current) and maintenance logs, write a function that returns a probability score for failure within the next 24 hours for each active electrolyzer unit. You can assume access to a pre-trained machine learning model or outline how you would build one.
+ 2 more questions in this round (sign up to unlock)

Behavioral / Leadership

8
Type · ownership
Tell me about a time you encountered a significant technical challenge or bug in a production system that was not directly your responsibility. How did you approach the situation, what steps did you take, and what was the outcome?
9
Type · technical-disagreement
Describe a situation where you had a strong technical disagreement with a colleague or manager regarding a design choice or implementation detail. How did you handle the disagreement, and what was the resolution?
+ 2 more questions in this round (sign up to unlock)