Type · algorithmic

How to Pass the Epiroc Software Engineer Interview in 2026
The Epiroc DNA (TL;DR)
The Epiroc 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, debugging, 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 Epiroc interview outcomes, avoid these common traps:
- Failing to articulate the impact of their intervention.
- Focusing only on technical aspects without addressing interdisciplinary communication.
- Ignoring joint constraints or movement dynamics, leading to an unrealistic path.
- Not considering the operational constraints of deploying ML models on heavy machinery.
Test Yourself: Real Epiroc Questions
Three real prompts pulled from our database.
Type · conflict-resolution
Type · motivation
+ many more questions, signals, and worked examples
Sign up to unlock the full Epiroc grading rubric
Epiroc 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- 1
Type · motivation
Epiroc develops solutions for mining and infrastructure. What specifically about our work in automation, electrification, or digital services for heavy machinery interests you as a software engineer?
Coding Screen
3- 2
Type · algorithmic
Imagine you are developing a system to monitor the health of a fleet of autonomous mining vehicles. Given a stream of sensor data (e.g., temperature, vibration, battery level) for each vehicle, write a function to detect anomalies that might indicate an impending failure. The function should return a list of vehicle IDs and the type of anomaly detected. - 3
Type · algorithmic
You have a large dataset of historical maintenance logs for Epiroc's equipment, where each log entry includes a timestamp, equipment ID, and a description of the issue. Design an algorithm to predict the probability of a specific type of failure (e.g., 'hydraulic leak') occurring in the next 7 days for a given piece of equipment, based on its past log entries. - + 1 more questions in this round (sign up to unlock)
System Design
3- 4
Type · system-design
Design a cloud-based platform for remote monitoring and control of Epiroc's underground mining equipment. Consider aspects like data ingestion from potentially intermittent network connections, real-time visualization of equipment status, and secure command execution. - 5
Type · system-design
Epiroc is exploring the use of AI for predictive maintenance on its excavators. Design a system that collects sensor data, trains ML models, and provides alerts for potential component failures. Discuss the trade-offs between edge computing for real-time inference and cloud-based model training. - + 1 more questions in this round (sign up to unlock)
Onsite Coding
3- 6
Type · debugging
A customer reports that our autonomous drilling software occasionally gets stuck in a loop when processing complex geological data. Here is a simplified snippet of the relevant code. Debug this code and explain how you would prevent this issue in the future. - 7
Type · algorithmic
Implement a function that simulates the path of a robotic arm used in underground mining for material handling. The function should take a sequence of target coordinates and return the most energy-efficient path, considering the arm's joint constraints and movement dynamics. Assume a simplified physics model. - + 1 more questions in this round (sign up to unlock)
Behavioral / Leadership
3- 8
Type · ownership
Tell me about a time you encountered a significant technical challenge in a project that was not directly assigned to you, but you felt compelled to address it. What was the challenge, what steps did you take, and what was the outcome? - 9
Type · collaboration
Describe a situation where you had to collaborate with engineers from a different discipline (e.g., mechanical, electrical) to deliver a software feature for an industrial product. What were the communication challenges, and how did you overcome them? - + 1 more questions in this round (sign up to unlock)
Unlock all 13 Epiroc 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 Epiroc
How Epiroc's DNA translates across functions. Pick your role.
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Practice Epiroc interviews end-to-end
Epiroc Mock Interview
Run a live mock interview with our AI interviewer using Epiroc-style prompts. Get scored on structure, signal, and answer length - exactly how the real loop grades you.
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STAR Stories for Epiroc Behavioral Rounds
Build a Story Bank of your past wins, mapped to the leadership signals Epiroc interviewers grade on. Reuse them across every behavioral round.
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Epiroc Interview Prep Hub
The frameworks behind every Epiroc 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 Epiroc 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 Epiroc interview questions shows.
You have a large dataset of historical maintenance logs for Epiroc's equipment, where each log entry includes a timestamp, equipment ID, and a description of the issue. Design an algorithm to predict the probability of a specific type of failure (e.g., 'hydraulic leak') occurring in the next 7 days for a given piece of equipment, based on its past log entries.
A strong answer shows: Logical feature extraction from unstructured text.; Consideration of time-series patterns.; Ability to define a predictive model's scope and limitations..
When integrating software with our heavy machinery hardware, you may find that software-driven performance goals conflict with mechanical safety tolerances or hardware longevity requirements. Tell me about a time you had to reconcile a software feature requirement with a conflicting physical constraint from a mechanical or electrical engineering team. How did you balance the software's performance objectives with the physical limitations of the equipment?
A strong answer shows: Empathy for cross-functional hardware constraints; Commitment to safety-first engineering; Ability to negotiate technical requirements; Focus on system-level performance over siloed feature completion.