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Skydio Software Engineer Interview Guide

Skydio Software Engineer interview guide: reported rounds, questions and how candidates describe the process.

The 60-second brief

A Software Engineer at Skydio works at the cutting edge of robotics, artificial intelligence, and physical-world automation. Unlike traditional software roles where code runs exclusively in the cloud or on consumer screens, your software at Skydio directly controls physical machines navigating complex, dynamic, three-dimensional environments. You will write the algorithms and build the infrastructure that enable autonomous flight, computer vision, and real-time decision-making on the edge. The impact of this role spans across critical industries. Skydio drones are deployed for high-stakes missions, including public safety search-and-rescue operations, critical infrastructure inspection, and defense scenarios. Because your code has physical consequences, the engineering culture here prioritizes safety, performance, and deterministic reliability.

This guide is scoped to a Software Engineer candidate at Skydio.

Focus areas

  • C++
  • Data Structures & Algorithms (DSA)
  • Problem Solving / Algorithmic Thinking

The Skydio interview process

Skydio candidates report 7 rounds over 4-6 weeks. The stages below are what candidates describe, not a published process.

Recruiter Screen

Initial discussion to align on background, career interests, and compensation expectations.

What to demonstrate

  • Initial discussion to align on background, career interests, and compensation expectations
  • Depth in C++

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.

Technical Conversation

Discussion with a hiring manager or peer engineer, including a light technical screening or resume deep dive.

What to demonstrate

  • Discussion with a hiring manager or peer engineer
  • Including a light technical screening or resume deep dive

How to prepare

  • Answer aloud and timed: Implement an algorithm to find the shortest path on a 2D grid containing dynamic obstacles, optimizing for both time complexity and memory usage.
  • Answer aloud and timed: Explain the difference between stack and heap allocation in C++ and how dynamic memory allocation can impact real-time performance on embedded systems.

Take-Home Challenge

Assignment of a coding challenge or direct progression to a technical screening round.

What to demonstrate

  • Assignment of a coding challenge or direct progression to a technical screening round
  • Depth in C++

How to prepare

  • Answer aloud and timed: Solve a series of linear algebra problems involving coordinate transformations, matrix multiplication, and sensor rotation matrices.
  • Answer aloud and timed: Given a set of 2D camera images and camera projection matrices, explain how you would perform triangulation to determine the 3D coordinates of a point in space.

Technical Screening

Focus on coding, linear algebra, or systems design in a technical screening round.

What to demonstrate

  • Focus on coding, linear algebra, or systems design in a technical screening round
  • Depth in C++

How to prepare

  • Answer aloud and timed: Discuss the computational complexity of different path-planning algorithms and how you would optimize them for an embedded processor with limited compute power.
  • Answer aloud and timed: Describe how you would implement and test a simple instance segmentation pipeline for detecting objects in real-time camera feeds.

Interview Loop

Comprehensive virtual or on-site interview including a technical presentation and intensive 1:1 sessions.

What to demonstrate

  • Comprehensive virtual or on-site interview including a technical presentation and intensive 1:1 sessions
  • Depth in C++

How to prepare

  • Answer aloud and timed: How would you debug a real-time thread in Linux that is experiencing unexpected latency or priority inversion?
  • Answer aloud and timed: Describe the process of dissecting a hardware product like a drone from a software perspective—how do the sensors, flight controller, and main processor communicate?

Technical Presentation

Deliver a 15-to-30-minute presentation about past work or a complex system to a panel of engineers.

What to demonstrate

  • Deliver a 15-to-30-minute presentation about past work or a complex system to a panel of engineers
  • Depth in C++

How to prepare

  • Answer aloud and timed: Design a system to fetch, parse, and plot spatial data from OpenStreetMap to generate an optimal distribution and navigation plan for a fleet of autonomous vehicles.
  • Answer aloud and timed: Explain how you would design a robust data logging framework that can write high-throughput sensor data to local storage without blocking critical flight control threads.

1:1 Sessions

Intensive sessions covering live coding, system design, domain-specific deep dives, and behavioral discussions.

What to demonstrate

  • Intensive sessions covering live coding, system design, domain-specific deep dives, and behavioral discussions
  • Depth in C++

How to prepare

  • Answer aloud and timed: Walk me through the most technically complex system you have designed and implemented. What were the key trade-offs, and what would you change if you built it again?
  • Answer aloud and timed: Describe a situation where you had a strong technical disagreement with a teammate or lead. How did you resolve it and move the project forward?

Where candidates lose points

Prioritize Code Quality over Speed

In both the take-home assignment and live coding rounds, Skydio engineers value clean, readable, and well-structured code. Take the time to write docstrings, use meaningful variable names, and explain your architectural choices.

Brush Up on Your Math

Do not ignore linear algebra and basic physics. Even if you are applying for a general systems role, understanding coordinate systems, vector math, and spatial transformations is highly beneficial when working with physical robots.

Understand the Product

Spend time researching Skydio's product line, such as the Skydio X10. Understand how autonomous drones perceive their environment, map obstacles, and plan trajectories. This context will make your system design answers much more relevant.

For the presentation round, choose a project where you had complete technical ownership

The panel will drill down into your specific architectural decisions and trade-offs, not just the team's overall success.

Questions & practice

Implement a custom data structure in C++ that supports insertion, deletion, and random element retrieval in O(

Medium · Coding & Algorithmic Design

Implement a custom data structure in C++ that supports insertion, deletion, and random element retrieval in O(1) time.

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?

Given a stream of spatial coordinates representing a drone's flight path, write an efficient algorithm to dete

Medium · Coding & Algorithmic Design

Given a stream of spatial coordinates representing a drone's flight path, write an efficient algorithm to detect if the path intersects with a known geofenced boundary.

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 an algorithm to find the shortest path on a 2D grid containing dynamic obstacles, optimizing for bot

Medium · Coding & Algorithmic Design

Implement an algorithm to find the shortest path on a 2D grid containing dynamic obstacles, optimizing for both time complexity and memory usage.

Approach

  1. Say what the runtime actually does before reasoning about the code.
  2. Name what is shared across threads and what owns each piece of state.
  3. Identify the window where an invariant is briefly untrue.
  4. Distinguish a value from a reference to it, and say which one you handed out.

Follow-up

  • What happens if two callers reach this at the same time?
  • Where could this allocate more than you expect?

Explain the difference between stack and heap allocation in C++ and how dynamic memory allocation can impact r

Medium · Coding & Algorithmic Design

Explain the difference between stack and heap allocation in C++ and how dynamic memory allocation can impact real-time performance on embedded systems.

Approach

  1. Say what the runtime actually does before reasoning about the code.
  2. Name what is shared across threads and what owns each piece of state.
  3. Identify the window where an invariant is briefly untrue.
  4. Distinguish a value from a reference to it, and say which one you handed out.

Follow-up

  • What happens if two callers reach this at the same time?
  • Where could this allocate more than you expect?

Discuss the computational complexity of different path-planning algorithms and how you would optimize them for

Medium · Robotics, Math & Domain Knowledge

Discuss the computational complexity of different path-planning algorithms and how you would optimize them for an embedded processor with limited compute power.

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?

Find version gaps and relay lag with window functions

Medium · window functions · event tables · frame semantics

outbox_event holds event_id, aggregate_type, aggregate_id, aggregate_version, event_type, payload, status ('pending','published','dead'), attempts, created_at, published_at. A projection is missing rows and you must decide whether the relay skipped events or the consumer dropped them. Write three queries over the last seven days: one listing every aggregate_id whose published aggregate_version sequence has a hole, one giving per-day counts with a running total, and one returning the newest published event per aggregate. For each, say where the window function is evaluated relative to WHERE and LIMIT. PostgreSQL 16.

Approach

  1. Gaps: compute lead(aggregate_version) OVER (PARTITION BY aggregate_id ORDER BY aggregate_version) in a subquery, then filter next_version <> aggregate_version + 1 in the outer query. Window functions are evaluated after WHERE, GROUP BY and HAVING and before the outer ORDER BY and LIMIT, so the predicate cannot sit in the same WHERE clause and PostgreSQL 16 has no QUALIFY.
  2. Say what the seven-day filter does to the answer: it truncates every partition, so the first row per aggregate has no predecessor inside the window and a hole spanning the boundary is invisible. Widen the window, or join to resource.version as the authority for the true maximum.
  3. Running total: SELECT date_trunc('day', created_at) AS d, count() AS n, sum(count()) OVER (ORDER BY date_trunc('day', created_at) ROWS UNBOUNDED PRECEDING). An aggregate inside a window call is legal because grouping runs before windowing. The grouping key is unique per row here so ROWS and RANGE agree, but write the frame anyway — over ungrouped rows with tied timestamps the default RANGE frame pulls in every peer row and the total jumps.
  4. Newest per aggregate: DISTINCT ON (aggregate_id) ... ORDER BY aggregate_id, aggregate_version DESC is the cheap PostgreSQL-only form when an index matches that order; row_number() OVER (PARTITION BY aggregate_id ORDER BY aggregate_version DESC) = 1 is the portable form and needs a subquery for the same evaluation-order reason as the gap query.

Follow-up

  • Relay failover redelivers events. Does a duplicate break the gap query, and how would you detect one from this table alone?
  • Turn the gap check into a continuous monitor rather than a query someone runs after an incident. What does it watch?

Write the update path that detects a concurrent edit

Medium · optimistic concurrency · transactional outbox · audit history

resource carries version INT NOT NULL DEFAULT 1. resource_revision holds revision_id, resource_id, version, actor_user_id, change_kind, patch JSONB, request_id, created_at with UNIQUE (resource_id, version). outbox_event holds aggregate_type, aggregate_id, aggregate_version, event_type, payload, status. A PUT carries the version the client read. Write the exact statements for the single transaction that applies the edit, records the revision and enqueues 'resource.updated', and give the handler's branch on zero affected rows. Then say what PostgreSQL 16 does under READ COMMITTED when two of these updates hit one row at once.

Approach

  1. One transaction, three writes, no network call inside it: UPDATE resource SET title = $3, version = version + 1, updated_at = now() WHERE resource_id = $1 AND tenant_id = $4 AND version = $2; then INSERT the resource_revision row at version $2 + 1; then INSERT the outbox_event row at the same aggregate_version. The event goes to a table rather than a broker because no transaction spans both.
  2. Branch on the affected-row count before doing anything else. Zero has three causes — stale version, wrong tenant, row gone — so re-read once and map to 409 carrying the current version, or 404 for an id outside the caller's tenant, which also stops the endpoint confirming that another tenant's id exists.
  3. State the engine behaviour instead of assuming it. Under READ COMMITTED the second UPDATE blocks on the row lock, and when the first commits PostgreSQL re-evaluates the WHERE clause against the newly committed row, so the version predicate now fails and the statement reports zero rows. Under REPEATABLE READ the identical collision raises SQLSTATE 40001 instead, so the handler must fold both shapes into one conflict response.
  4. Keep UNIQUE (resource_id, version) even though the predicate already serialises writers. It is what makes a lost update unwritable if any other path ever reaches the revision table, and it converts a logic bug into 23505 rather than into a silently missing history row.

Follow-up

  • A client sends the version it read ten minutes ago and the resource has moved three versions. What is in your 409 so it can resolve the conflict without a full re-fetch?
  • Two editors, two disjoint fields, no overlap. Does your answer still refuse the second write, and should it?

Solve a series of linear algebra problems involving coordinate transformations, matrix multiplication, and sen

Medium · Robotics, Math & Domain Knowledge

Solve a series of linear algebra problems involving coordinate transformations, matrix multiplication, and sensor rotation matrices.

Approach

  1. Clarify what is being asked and what a complete answer contains.
  2. State your assumptions explicitly before working the problem.
  3. Say what you would check first and why it is the highest-information step.
  4. Work from the requirement backwards to the design.

Follow-up

  • What assumption would you test first?
  • How would you know your answer was wrong?

Given a set of 2D camera images and camera projection matrices, explain how you would perform triangulation to

Medium · Robotics, Math & Domain Knowledge

Given a set of 2D camera images and camera projection matrices, explain how you would perform triangulation to determine the 3D coordinates of a point in space.

Approach

  1. Clarify what is being asked and what a complete answer contains.
  2. State your assumptions explicitly before working the problem.
  3. Say what you would check first and why it is the highest-information step.
  4. Work from the requirement backwards to the design.

Follow-up

  • What assumption would you test first?
  • How would you know your answer was wrong?

Describe how you would implement and test a simple instance segmentation pipeline for detecting objects in rea

Medium · Robotics, Math & Domain Knowledge

Describe how you would implement and test a simple instance segmentation pipeline for detecting objects in real-time camera feeds.

Approach

  1. Clarify what is being asked and what a complete answer contains.
  2. State your assumptions explicitly before working the problem.
  3. Say what you would check first and why it is the highest-information step.
  4. Work from the requirement backwards to the design.

Follow-up

  • What assumption would you test first?
  • How would you know your answer was wrong?

Describe the process of dissecting a hardware product like a drone from a software perspective—how do the sens

Medium · Systems, Linux & Infrastructure

Describe the process of dissecting a hardware product like a drone from a software perspective—how do the sensors, flight controller, and main processor communicate?

Approach

  1. Fix the scope first: who calls this, how often, and what they do when it fails.
  2. Name the read and write paths separately; they rarely have the same bottleneck.
  3. Choose a partition key and say what query it makes expensive.
  4. State the consistency you need, and where you are willing to be stale.

Follow-up

  • What breaks first when traffic grows ten times?
  • How does this behave when that dependency is down for an hour?

Design a system to fetch, parse, and plot spatial data from OpenStreetMap to generate an optimal distribution

Medium · Systems, Linux & Infrastructure

Design a system to fetch, parse, and plot spatial data from OpenStreetMap to generate an optimal distribution and navigation plan for a fleet of autonomous vehicles.

Approach

  1. Fix the scope first: who calls this, how often, and what they do when it fails.
  2. Name the read and write paths separately; they rarely have the same bottleneck.
  3. Choose a partition key and say what query it makes expensive.
  4. State the consistency you need, and where you are willing to be stale.

Follow-up

  • What breaks first when traffic grows ten times?
  • How does this behave when that dependency is down for an hour?

Explain how you would design a robust data logging framework that can write high-throughput sensor data to loc

Medium · Systems, Linux & Infrastructure

Explain how you would design a robust data logging framework that can write high-throughput sensor data to local storage without blocking critical flight control threads.

Approach

  1. Fix the scope first: who calls this, how often, and what they do when it fails.
  2. Name the read and write paths separately; they rarely have the same bottleneck.
  3. Choose a partition key and say what query it makes expensive.
  4. State the consistency you need, and where you are willing to be stale.

Follow-up

  • What breaks first when traffic grows ten times?
  • How does this behave when that dependency is down for an hour?

How would you debug a real-time thread in Linux that is experiencing unexpected latency or priority inversion?

Medium · Systems, Linux & Infrastructure

Approach

  1. Establish what changed and when, before forming any theory.
  2. Pick a bisection that eliminates candidates whichever way it turns out.
  3. Check the instrumentation before believing the symptom.
  4. Separate the trigger from the cause; the deploy is rarely the bug.

Follow-up

  • What would you look at first, and what would it rule out?
  • How would you tell a cause from a coincidence here?

Suggested practice checklist

Built from the rounds and topics Skydio candidates report.

Day 1 — Map the Skydio loop

  • Write out the reported sequence: Recruiter Screen, Technical Conversation, Take-Home Challenge, Technical Screening, Interview Loop, Technical Presentation.
  • 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 7 reported rounds, with the weakest marked.

Day 2 — Work C++

  • Spend the session on C++, which Skydio candidates report being tested on.
  • Write one worked example in C++ and time yourself on it.

Deliverable: One timed worked example in C++.

Day 3 — Work Data Structures & Algorithms (DSA)

  • Spend the session on Data Structures & Algorithms (DSA), which Skydio candidates report being tested on.
  • Write one worked example in Data Structures & Algorithms (DSA) and time yourself on it.

Deliverable: One timed worked example in Data Structures & Algorithms (DSA).

Day 4 — Work Problem Solving / Algorithmic Thinking

  • Spend the session on Problem Solving / Algorithmic Thinking, which Skydio candidates report being tested on.
  • Write one worked example in Problem Solving / Algorithmic Thinking and time yourself on it.

Deliverable: One timed worked example in Problem Solving / Algorithmic Thinking.

Day 5 — Answer out loud: Coding & Algorithmic Design

  • Answer aloud, timed: Implement a custom data structure in C++ that supports insertion, deletion, and random element retrieval in O(1) time.
  • Answer aloud, timed: Given a stream of spatial coordinates representing a drone's flight path, write an efficient algorithm to detect if the path intersects with a known geofenced boundary.

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

Day 6 — Answer out loud: Robotics, Math & Domain Knowledge

  • Answer aloud, timed: Solve a series of linear algebra problems involving coordinate transformations, matrix multiplication, and sensor rotation matrices.
  • Answer aloud, timed: Given a set of 2D camera images and camera projection matrices, explain how you would perform triangulation to determine the 3D coordinates of a point in space.

Deliverable: Spoken answers to 2 reported Robotics, Math & Domain Knowledge question(s), under time.

Day 7 — Answer out loud: Systems, Linux & Infrastructure

  • Answer aloud, timed: How would you debug a real-time thread in Linux that is experiencing unexpected latency or priority inversion?
  • Answer aloud, timed: Describe the process of dissecting a hardware product like a drone from a software perspective—how do the sensors, flight controller, and main processor communicate?

Deliverable: Spoken answers to 2 reported Systems, Linux & Infrastructure question(s), under time.

Behavioural preparation

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

Walk me through the most technically complex system you have designed and implemented. What were the key trade

Medium · Behavioral & Project Architecture

Walk me through the most technically complex system you have designed and implemented. What were the key trade-offs, and what would you change if you built it again?

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 a strong technical disagreement with a teammate or lead. How did you resolv

Medium · Behavioral & Project Architecture

Describe a situation where you had a strong technical disagreement with a teammate or lead. How did you resolve it and move the project forward?

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 approach writing clean, maintainable code? What is your philosophy on documentation, unit testing,

Medium · Behavioral & Project Architecture

How do you approach writing clean, maintainable code? What is your philosophy on documentation, unit testing, and code reviews?

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?