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How to Pass the Aqemia Software Engineer Interview in 2026

The Aqemia DNA (TL;DR)

Aqemia's core mission of Inventing New Drugs drives the assessment for candidates who can blend deep scientific understanding with practical AI application. Interviewers probe for evidence of analytical precision and the ability to translate complex ideas into tangible results, often during technical deep-dives.

The Aqemia Interview Loop

Your onsite loop will typically consist of 5 rounds.

  1. 1

    Round 1

    Recruiter Screen
    Motivation, role fit, logistics.
  2. 2

    Round 2

    Coding Screen
    LeetCode-medium algorithmic problems under time pressure.
  3. 3

    Round 3

    System Design
    Distributed systems, trade-offs at scale, architecture under constraints.
  4. 4

    Round 4

    Onsite Coding
    LeetCode-hard, debugging, code clarity, edge cases.
  5. 5

    Round 5

    Behavioral / Leadership
    Past 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 · trade-offs

We need to build a service that performs complex molecular simulations. Discuss the trade-offs between using a CPU-intensive, highly optimized custom simulation library versus leveraging a cloud-based GPU cluster for faster, potentially less optimized, simulations. Consider cost, development time, and performance.

Type · debugging

Here is a Python snippet intended to calculate the binding affinity of a small molecule to a protein target based on simplified interaction energies. It's producing incorrect results for known cases. Debug and fix the code. [Provide a code snippet with subtle logical errors, e.g., incorrect formula application, off-by-one errors, or type mismatches].

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.

+ many more questions, signals, and worked examples

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Aqemia Interview Question Bank

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

9 of 14 questions shown

1

Recruiter Screen

1
  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?
2

Coding Screen

3
  1. 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.
  2. 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.
  3. + 1 more questions in this round (sign up to unlock)
3

System Design

3
  1. 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.
  2. 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?
  3. + 1 more questions in this round (sign up to unlock)
4

Onsite Coding

3
  1. 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.
  2. 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].
  3. + 1 more questions in this round (sign up to unlock)
5

Behavioral / Leadership

4
  1. 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?
  2. 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?
  3. + 2 more questions in this round (sign up to unlock)

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Interview tracks at Aqemia

How Aqemia's DNA translates across functions. Pick your role.

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