Type · trade-offs

Growth · Software Engineer Interview Guide
Sign up to see ATSHow to Pass the Aqemia Software Engineer Interview in 2026
The Aqemia DNA (TL;DR)
The Aqemia 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 Aqemia interview outcomes, avoid these common traps:
- Failing to consider the specific computational needs of different simulation types.
- Lack of comments or documentation for complex logic.
- Not discussing the implications of vendor lock-in or infrastructure management.
- Describing a task that was clearly part of their assigned responsibilities.
Test Yourself: Real Aqemia Questions
Three real prompts pulled from our database.
Type · debugging
Type · algorithmic
+ many more questions, signals, and worked examples
Sign up to unlock the JobMentis grading rubric
Aqemia 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 about Aqemia's mission to accelerate drug discovery, and how do you see your software engineering skills contributing to that goal?
Coding Screen
3- 2
Type · algorithmic
Given a dataset of molecular structures (represented as SMILES strings) and their predicted properties, design an algorithm to efficiently find molecules with a desired property profile within a large database. Consider how you would handle approximate matching or similarity searches. - 3
Type · algorithmic
Imagine you have a stream of experimental results coming in, each with a timestamp and a measured value. Implement a function to calculate the rolling average of these results over a specified window size. Handle potential edge cases like an empty stream or a window size larger than the available data. - + 1 more questions in this round (sign up to unlock)
System Design
3- 4
Type · architecture
Design a system to manage and serve predictions from multiple machine learning models used in drug discovery (e.g., ADMET prediction, binding affinity prediction). Consider aspects like model versioning, A/B testing of new models, and efficient retrieval of predictions for new molecular inputs. - 5
Type · scalability
Aqemia's platform processes vast amounts of chemical and biological data. Design a data ingestion pipeline that can handle high throughput, varying data formats (e.g., SDF, CSV, JSON), and ensure data quality and consistency before it's used for model training. How would you handle backfills or reprocessing of historical data? - + 1 more questions in this round (sign up to unlock)
Onsite Coding
3- 6
Type · algorithmic
Implement a function that takes a list of chemical reactions, each defined by reactants and products (represented as sets of molecule identifiers), and determines if a given target molecule can be synthesized starting from a set of initial precursors. This is akin to a graph traversal or dependency resolution problem. Optimize for efficiency. - 7
Type · debugging
A data scientist reports that a critical feature engineering pipeline, which calculates molecular descriptors, is intermittently failing with `KeyError` exceptions when processing certain chemical structures. Debug and fix the provided code snippet, ensuring it handles malformed or unexpected input gracefully. [Provide a code snippet with potential issues like missing keys in dictionaries, inconsistent data formats, or incorrect parsing]. - + 1 more questions in this round (sign up to unlock)
Behavioral / Leadership
4- 8
Type · ownership
Tell me about a time you encountered a significant technical challenge or bug in a project that wasn't explicitly assigned to you. What steps did you take to understand and resolve the issue, and what was the outcome? - 9
Type · collaboration
Describe a situation where you had a technical disagreement with a colleague or team member regarding a design decision or implementation approach. How did you handle the discussion, and what was the resolution? - + 2 more questions in this round (sign up to unlock)
Unlock the full Aqemia question bank
Free signup, no credit card. You get every question + the framework, grading signals, and worked answer for each.
Interview tracks at Aqemia
How Aqemia's DNA translates across functions. Pick your role.
Compare Aqemia with similar employers
Same DNA, different bar. Browse the closest companies in our database and see how their loops differ.
Resurrect Bio
Same tierThe final 'Discover Crop Resilience Today' round at Resurrect Bio assesses a candidate's depth in biological innovati...
See Resurrect Bio interview questions
SAVA
Same tierSAVA's 'Patient Impact' principle drives the interview process, seeking individuals who apply meticulous scientific r...
See SAVA interview questions
Scan.com
Same tierScan.com's interview loop heavily weighs a candidate's ability to simplify complex healthcare navigation, particularl...
See Scan.com interview questions
Practice Aqemia interviews end-to-end
Aqemia Mock Interview
Run a live mock interview with our AI interviewer using Aqemia-style prompts. Get scored on structure, signal, and answer length - exactly how the real loop grades you.
Open
STAR Stories for Aqemia Behavioral Rounds
Build a Story Bank of your past wins, mapped to the leadership signals Aqemia interviewers grade on. Reuse them across every behavioral round.
Open
Aqemia Interview Prep Hub
The frameworks behind every Aqemia 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 Aqemia interviewers nod instead of frown. Step-by-step playbooks with the moves and the pitfalls.
Open