Simon AI · Software Engineer
Updated · 2026-10-02

Simon AI Software Engineer
Interview Guide

THE 60-SECOND BRIEF

As a Software Engineer at Simon AI, you will play a pivotal role in shaping the technology that drives our innovative solutions. Your work will directly impact the efficiency and effectiveness of our products, which serve a diverse clientele seeking to harness data for insightful decision-making. This position is not only crucial for maintaining our competitive edge but also offers the opportunity to engage with complex problems that challenge your technical and creative skills. You will collaborate closely with cross-functional teams, including product managers and data scientists, to design and implement features that enhance user experience and drive business growth. The scale and intricacy of the projects you’ll tackle—ranging from developing robust APIs to optimizing algorithms—make this role both rewarding and intellectually stimulating.

This guide is scoped to a Software Engineer candidate at Simon AI.

Simon AI candidates report 4 rounds over 3-5 weeks. The stages below are what candidates describe, not a published process.

Algorithmic Problem SolvingTake-Home Coding AssignmentsCoding Interviews (Screen-Share)

19 min read

Browse Software Engineer questions

See the practice prompts

19Practice promptsAcross five skill areas

As a Software Engineer at Simon AI, you will play a pivotal role in shaping the technology that drives our innovative solutions. Your work will directly impact the efficiency and effectiveness of our products, which serve a diverse clientele seeking to harness data for insightful decision-making. This position is not only crucial for maintaining our competitive edge but also offers the opportunity to engage with complex problems that challenge your technical and creative skills. You will collaborate closely with cross-functional teams, including product managers and data scientists, to design and implement features that enhance user experience and drive business growth. The scale and intricacy of the projects you’ll tackle—ranging from developing robust APIs to optimizing algorithms—make this role both rewarding and intellectually stimulating. At Simon AI, you are not just writing code; you are contributing to a vibrant ecosystem that leverages cutting-edge technology to solve real-world problems.

01

Initial Phone Screen

reported

The process begins with a phone screen to assess the candidate's background and fit for the role.

What to demonstrate

  • The process begins with a phone screen to assess the candidate's background and fit for the role
  • Depth in Algorithmic Problem Solving

How to prepare

  • Be able to walk your CV end to end in two minutes, and say why this company specifically.
  • Have your salary expectations, notice period and location constraints ready, and ask for the rest of the loop in writing.
Simon AI Software Engineer candidate reports ↗
02

Technical Assessment

reported

Candidates complete a technical assessment, which may include a coding exercise.

What to demonstrate

  • Candidates complete a technical assessment, which may include a coding exercise
  • Depth in Algorithmic Problem Solving

How to prepare

  • Answer aloud and timed: Describe a time when you had to debug a complex issue in your code.
  • Answer aloud and timed: How do you handle version control in collaborative projects?
Simon AI Software Engineer candidate reports ↗
03

Take-Home Assignment

reported

A take-home assignment is provided to evaluate practical skills relevant to the position.

What to demonstrate

  • A take-home assignment is provided to evaluate practical skills relevant to the position
  • Depth in Algorithmic Problem Solving

How to prepare

  • Answer aloud and timed: What data structures would you use to implement a priority queue?
  • Answer aloud and timed: Design a URL shortening service and discuss its architecture.
Simon AI Software Engineer candidate reports ↗
04

On-Site Interview

reported

Successful candidates participate in an on-site interview with a series of technical and behavioral interviews.

What to demonstrate

  • Successful candidates participate in an on-site interview with a series of technical and behavioral interviews
  • Depth in Algorithmic Problem Solving

How to prepare

  • Answer aloud and timed: How would you approach building a real-time chat application?
  • Answer aloud and timed: What considerations would you take into account for a distributed file storage system?
Simon AI Software Engineer candidate reports ↗

PracHub editorial advice for the preparation topics above.

01

Practice Coding Under Pressure

Engage in timed coding challenges to simulate the interview environment and build your confidence.

02

Be Prepared to Explain Your Thought Process

Interviewers will appreciate candidates who articulate their reasoning and approach to problem-solving.

03

Research Simon AI’s Products

Familiarize yourself with the company’s offerings and recent developments to demonstrate your interest and understanding during interviews.

Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.

14 technical prompts0 include a worked solution

Can you explain how you would optimize a given algorithm?

medium
Technical Questions

Can you explain how you would optimize a given algorithm?

Approach
  1. Restate the input: its shape, its size, and what is guaranteed about it.
  2. Name the brute-force solution and its complexity before improving on it.
  3. Choose the data structure from the access pattern, not from familiarity.
  4. State the target complexity and say which constraint rules the naive version out.
Follow-up
  • How does this change if the input no longer fits in memory?
  • What is the worst case, and how likely is it on real data?

Solve a problem related to binary trees, such as finding the lowest common ancestor.

medium
Coding / Algorithms

Solve a problem related to binary trees, such as finding the lowest common ancestor.

Approach
  1. Restate the input: its shape, its size, and what is guaranteed about it.
  2. Name the brute-force solution and its complexity before improving on it.
  3. Choose the data structure from the access pattern, not from familiarity.
  4. State the target complexity and say which constraint rules the naive version out.
Follow-up
  • How does this change if the input no longer fits in memory?
  • What is the worst case, and how likely is it on real data?

Write a function to detect a cycle in a linked list.

medium
Coding / Algorithms

Write a function to detect a cycle in a linked list.

Approach
  1. Restate the input: its shape, its size, and what is guaranteed about it.
  2. Name the brute-force solution and its complexity before improving on it.
  3. Choose the data structure from the access pattern, not from familiarity.
  4. State the target complexity and say which constraint rules the naive version out.
Follow-up
  • How does this change if the input no longer fits in memory?
  • What is the worst case, and how likely is it on real data?

Implement a sorting algorithm of your choice and explain its time complexity.

medium
Coding / Algorithms

Implement a sorting algorithm of your choice and explain its time complexity.

Approach
  1. Restate the input: its shape, its size, and what is guaranteed about it.
  2. Name the brute-force solution and its complexity before improving on it.
  3. Choose the data structure from the access pattern, not from familiarity.
  4. State the target complexity and say which constraint rules the naive version out.
Follow-up
  • How does this change if the input no longer fits in memory?
  • What is the worst case, and how likely is it on real data?

Built from the rounds and topics Simon AI candidates report.

Small steps. Visible outcomes.0 / 7 completed
ONE WEEK · YOUR PACE

Prepare, practise & reflect

One practical outcome each day. Spend longer where you need it.

0 / 7 done
01Map the Simon AI loop
  • Write out the reported sequence: Initial Phone Screen, Technical Assessment, Take-Home Assignment, On-Site Interview.
  • For each round, write one sentence on what it is judging, from the description above, and mark the one you are least ready for.

Deliverable: A one-page map of the 4 reported rounds, with the weakest marked.

02Work Algorithmic Problem Solving
  • Spend the session on Algorithmic Problem Solving, which Simon AI candidates report being tested on.
  • Write one worked example in Algorithmic Problem Solving and time yourself on it.

Deliverable: One timed worked example in Algorithmic Problem Solving.

03Work Take-Home Coding Assignments
  • Spend the session on Take-Home Coding Assignments, which Simon AI candidates report being tested on.
  • Write one worked example in Take-Home Coding Assignments and time yourself on it.

Deliverable: One timed worked example in Take-Home Coding Assignments.

04Work Coding Interviews (Screen-Share)
  • Spend the session on Coding Interviews (Screen-Share), which Simon AI candidates report being tested on.
  • Write one worked example in Coding Interviews (Screen-Share) and time yourself on it.

Deliverable: One timed worked example in Coding Interviews (Screen-Share).

05Answer out loud: Technical Questions
  • Answer aloud, timed: What are the differences between functional and object-oriented programming?
  • Answer aloud, timed: Can you explain how you would optimize a given algorithm?

Deliverable: Spoken answers to 2 reported Technical Questions question(s), under time.

06Answer out loud: System Design
  • Answer aloud, timed: Design a URL shortening service and discuss its architecture.
  • Answer aloud, timed: How would you approach building a real-time chat application?

Deliverable: Spoken answers to 2 reported System Design question(s), under time.

07Answer out loud: Behavioral Questions
  • Answer aloud, timed: Tell me about a time you faced a significant challenge in a project. How did you handle it?
  • Answer aloud, timed: Describe a situation where you had to work with a difficult team member. What was the outcome?

Deliverable: Spoken answers to 2 reported Behavioral Questions question(s), under time.

Expand any day for tasks and deliverables. Your progress is saved on this device.

Behavioural rounds judge the decision you made and what it cost.

Describe a time when you had to debug a complex issue in your code.

medium
Technical Questions

Describe a time when you had to debug a complex issue in your code.

Approach
  1. Pick a story where you made the decision, not one where you watched it.
  2. State the situation in two sentences and spend the rest on the reasoning.
  3. Give the blast radius: what could have broken, and what you measured.
  4. Name the disagreement and how you resolved it with evidence.
Follow-up
  • What would you do differently if you ran that again?
  • How did you know your change caused the improvement?

How do you handle version control in collaborative projects?

medium
Technical Questions

How do you handle version control in collaborative projects?

Approach
  1. Pick a story where you made the decision, not one where you watched it.
  2. State the situation in two sentences and spend the rest on the reasoning.
  3. Give the blast radius: what could have broken, and what you measured.
  4. Name the disagreement and how you resolved it with evidence.
Follow-up
  • What would you do differently if you ran that again?
  • How did you know your change caused the improvement?

Tell me about a time you faced a significant challenge in a project. How did you handle it?

medium
Behavioral Questions

Tell me about a time you faced a significant challenge in a project. How did you handle it?

Approach
  1. Pick a story where you made the decision, not one where you watched it.
  2. State the situation in two sentences and spend the rest on the reasoning.
  3. Give the blast radius: what could have broken, and what you measured.
  4. Name the disagreement and how you resolved it with evidence.
Follow-up
  • What would you do differently if you ran that again?
  • How did you know your change caused the improvement?

Describe a situation where you had to work with a difficult team member. What was the outcome?

medium
Behavioral Questions

Describe a situation where you had to work with a difficult team member. What was the outcome?

Approach
  1. Pick a story where you made the decision, not one where you watched it.
  2. State the situation in two sentences and spend the rest on the reasoning.
  3. Give the blast radius: what could have broken, and what you measured.
  4. Name the disagreement and how you resolved it with evidence.
Follow-up
  • What would you do differently if you ran that again?
  • How did you know your change caused the improvement?

How do you prioritize tasks when working on multiple projects simultaneously?

medium
Behavioral Questions

How do you prioritize tasks when working on multiple projects simultaneously?

Approach
  1. Pick a story where you made the decision, not one where you watched it.
  2. State the situation in two sentences and spend the rest on the reasoning.
  3. Give the blast radius: what could have broken, and what you measured.
  4. Name the disagreement and how you resolved it with evidence.
Follow-up
  • What would you do differently if you ran that again?
  • How did you know your change caused the improvement?
  • 01

    Describe a time when you had to debug a complex issue in your code.

  • 02

    How do you handle version control in collaborative projects?

  • 03

    Tell me about a time you faced a significant challenge in a project. How did you handle it?

  • 04

    Describe a situation where you had to work with a difficult team member. What was the outcome?

PracHub preparation framework ↗
How difficult is the interview process, and how much preparation time is typical?

The interview process is considered rigorous, with candidates often spending several weeks preparing. It is advisable to allocate a few weeks for focused study, particularly on algorithms and system design.

Simon AI Software Engineer candidate reports ↗
What differentiates successful candidates?

Successful candidates typically demonstrate not only strong technical skills but also the ability to communicate effectively and work well within a team. Emotional intelligence and cultural fit are equally important.

Simon AI Software Engineer candidate reports ↗
What is the culture and working style at Simon AI?

Simon AI fosters a collaborative and innovative environment. Team members are encouraged to share ideas and support each other in achieving common goals.

Simon AI Software Engineer candidate reports ↗
What is the typical timeline from initial screen to offer?

The entire process generally spans 4-6 weeks, depending on scheduling and the number of interview rounds.

Simon AI Software Engineer candidate reports ↗
Are there remote work or hybrid expectations?

While many roles can be performed remotely, the specifics may vary by team. It’s important to clarify work arrangements during the interview.

Simon AI Software Engineer candidate reports ↗
How many rounds is the Simon AI Software Engineer interview process?

Candidates report 4 stages: Initial Phone Screen, Technical Assessment, Take-Home Assignment, and On-Site Interview. The interview process section above breaks down what each stage covers.

Simon AI Software Engineer candidate reports ↗
What topics come up in the Simon AI Software Engineer interview?

Simon AI Software Engineer interviews most often cover Algorithmic Problem Solving, Take-Home Coding Assignments, Coding Interviews (Screen-Share), Data Structures, and Frontend Development, based on topics extracted from real candidate reports.

Simon AI Software Engineer candidate reports ↗
Sources & methodology 3 sources ↗

No official company page is cited. Rounds and questions come from candidate reports and PracHub editorial material; each source shows the date it was read.