Type · Distributed Systems

Growth · Software Engineer Interview Guide
Sign up to see ATSHeadquartered in SwitzerlandInterview language: English
How to Pass the ANYbotics Software Engineer Interview in 2026
The ANYbotics DNA (TL;DR)
The ANYbotics Interview Loop
Your onsite loop will typically consist of 4 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 ANYbotics interview outcomes, avoid these common traps:
- Ignoring the complexities of inverse kinematics and providing a naive solution.
- Not handling edge cases like unreachable destinations or starting/ending on an obstacle.
- Not considering the streaming nature of the data and proposing an offline batch solution.
- Not taking ownership of the problem or the solution.
Test Yourself: Real ANYbotics Questions
Three real prompts pulled from our database.
Type · Scalability
Type · Data Structures & Algorithms
+ many more questions, signals, and worked examples
Sign up to unlock the full ANYbotics grading rubric
ANYbotics Interview Question Bank
A sample from our database, grouped by round. Sign up to see the full set.
9 of 14 questions shown
Recruiter Screen
1- 1
Type · Motivation
What interests you specifically about working on robotics software at ANYbotics, and how do you see your skills contributing to our mission in the industrial sector?
Coding Screen
3- 2
Type · Data Structures & Algorithms
Given a stream of sensor data (e.g., timestamps, readings) from a robot arm, design an algorithm to detect anomalies. Assume the data has a known periodic pattern. You can use simplified data structures for this problem. - 3
Type · Algorithms
Implement a function that takes a 2D grid representing a factory floor map (where '1' is an obstacle and '0' is free space) and calculates the minimum number of steps a robot needs to take to navigate from a start point to an end point. The robot can move up, down, left, or right. - + 1 more questions in this round (sign up to unlock)
System Design
3- 4
Type · Distributed Systems
Design a system for real-time monitoring and control of a fleet of autonomous mobile robots operating in a large warehouse. Consider aspects like communication, data aggregation, task allocation, and fault tolerance. - 5
Type · Architecture
ANYbotics robots need to navigate complex, dynamic environments. Design the software architecture for the robot's navigation system. How would you handle sensor fusion, localization, path planning, and obstacle avoidance? - + 1 more questions in this round (sign up to unlock)
Onsite Coding
4- 6
Type · Algorithms
Write a function to simulate the behavior of a robot arm picking up and placing objects. The function should take the current joint angles, target object position, and target placement position as input. It needs to calculate the sequence of joint movements required, ensuring smooth motion and avoiding self-collision. Consider simplifying assumptions for the arm's kinematics. - 7
Type · Debugging
A robot's path planning module is intermittently failing to find a path in known environments, causing it to stop unexpectedly. Here's a simplified version of the path planning code (provide pseudocode or a small code snippet). Debug this code and explain your process. - + 2 more questions in this round (sign up to unlock)
Behavioral / Leadership
3- 8
Type · Conflict Resolution
Describe a scenario where you and a teammate had opposing views on how to prioritize safety-critical reliability versus feature performance in a robotic system. How did you validate your technical assumptions and reach a consensus that ensured the robot remained mission-capable? - 9
Type · Ownership
Describe a complex bug you encountered in a previous project. What steps did you take to diagnose, fix, and prevent it from recurring? What did you learn from the experience? - + 1 more questions in this round (sign up to unlock)
Unlock all 14 ANYbotics 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 ANYbotics
How ANYbotics's DNA translates across functions. Pick your role.
Compare ANYbotics with similar employers
Same DNA, different bar. Browse the closest companies in our database and see how their loops differ.
NavVis
Same tierNavVis's 'Reality Capture' focus means they grade for candidates who can translate complex 3D data into practical app...
See NavVis interview questions
Digiclean
Same tierCharlotte Stigen's vision for Digiclean Solutions emphasizes candidates who can drive 'Less Chemicals, More Value' ou...
See Digiclean interview questions
Humanoid
Same tierHumanoid's mission to deploy thousands of robots at Schaeffler drives the assessment of a candidate's ability to inno...
See Humanoid interview questions
Practice ANYbotics interviews end-to-end
ANYbotics Mock Interview
Run a live mock interview with our AI interviewer using ANYbotics-style prompts. Get scored on structure, signal, and answer length - exactly how the real loop grades you.
Open
STAR Stories for ANYbotics Behavioral Rounds
Build a Story Bank of your past wins, mapped to the leadership signals ANYbotics interviewers grade on. Reuse them across every behavioral round.
Open
ANYbotics Interview Prep Hub
The frameworks behind every ANYbotics round: CIRCLES for product sense, hypothesis-driven debugging for analytical, STAR for behavioral. Learn each one in 10 minutes.
Open
Interview Frameworks
CIRCLES, STAR, AARRR, RICE, MECE. The exact frameworks that make ANYbotics interviewers nod instead of frown. Step-by-step playbooks with the moves and the pitfalls.
Open
Sample answers
What a strong answer to these ANYbotics interview questions shows.
Design a system for real-time monitoring and control of a fleet of autonomous mobile robots operating in a large warehouse. Consider aspects like communication, data aggregation, task allocation, and fault tolerance.
A strong answer shows: Understanding of distributed system design principles.; Consideration of scalability, reliability, and fault tolerance.; Knowledge of relevant communication protocols and technologies.; Ability to break down a complex system into manageable components..
Our robots generate a significant amount of telemetry data (e.g., sensor readings, operational status, error logs). Design a scalable data pipeline to ingest, process, and store this data for analysis and diagnostics. Consider data volume, velocity, and variety.
A strong answer shows: Knowledge of big data technologies and architectures.; Understanding of stream processing vs. batch processing.; Consideration of scalability, cost, and performance.; Awareness of data management best practices..