As a Software Engineer at Deepmind, you are at the intersection of cutting-edge research and scalable production engineering. You will be responsible for building the infrastructure, tools, and platforms that enable our research teams to push the boundaries of artificial intelligence. Your work directly impacts how we deploy models, optimize compute resources, and translate complex algorithms into real-world applications like Gemini and advanced robotics. This role requires a unique blend of rigor and adaptability. You are not just writing code; you are architecting robust systems that must handle extreme computational demands while maintaining the flexibility required for rapid experimentation. You will collaborate with world-class researchers and cross-functional teams, ensuring that our technical foundations are as innovative as the models we build. It is a challenging position that demands both deep technical expertise and a passion for solving problems that haven't been solved before.
Initial Screening Call
reportedAssess your background and motivation for the role.
What to demonstrate
- Assess your background and motivation for the role
- Depth in 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.
Technical Rounds
reportedEngage in a series of technical assessments including coding challenges and system design.
What to demonstrate
- Engage in a series of technical assessments including coding challenges and system design
- Depth in Problem Solving
How to prepare
- Answer aloud and timed: Write a program to increment a given date by a specified number of days.
- Answer aloud and timed: Explain the difference between vector::empty and vector::size and when to prefer one over the other.
Behavioral Interview
reportedEvaluate cultural fit and behavioral aspects of your candidacy.
What to demonstrate
- Evaluate cultural fit and behavioral aspects of your candidacy
- Depth in Problem Solving
How to prepare
- Prepare three examples from your own work, each with a decision you made and an outcome you can quantify.
- Re-read the description of the behavioral interview above and write down what you would ask to confirm before it.
PracHub editorial advice for the preparation topics above.
Prioritize clarity
Always explain your thought process out loud while coding.
Stay calm under pressure
If you hit a roadblock, take a breath and re-evaluate the problem.
Prepare your questions
Use the time at the end of the interview to ask meaningful questions about the team’s current challenges.
Master the basics
Do not neglect fundamental computer science concepts; they are the foundation of every high-level challenge you will face here.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Implement a function to check if a given matrix is a Hankel matrix.
Implement a function to check if a given matrix is a Hankel matrix.
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- 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 grid traversal problem involving path optimization.
Solve a grid traversal problem involving path optimization.
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- 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 program to increment a given date by a specified number of days.
Write a program to increment a given date by a specified number of days.
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- 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?
Explain the difference between vector::empty and vector::size and when to prefer one over the other.
Explain the difference between vector::empty and vector::size and when to prefer one over the other.
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- 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 solution for random number generation.
Implement a solution for random number generation.
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- 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?
Hold a per-tenant active cap against concurrent creates
A tenant on the standard plan may hold at most 50 resources with status='active'. The create handler runs SELECT count(*) FROM resource WHERE tenant_id = $1 AND status = 'active', compares to 50, then inserts. Two creates arrive 3 ms apart on different instances and the tenant lands at 51. Name the anomaly, say whether PostgreSQL 16 READ COMMITTED or REPEATABLE READ prevents it and why, then give an implementation that holds the cap at READ COMMITTED with the exact statements. Finally, say what changes when the cap is 'at most one running export per tenant' on job_run.
Approach
- Name it: write skew. The two transactions read an overlapping set and write disjoint rows, so there is no row-level conflict for the engine to detect and each commit is individually legal.
- Rule out the levels precisely. READ COMMITTED takes a fresh snapshot per statement and takes no lock on the counted rows, so both see 49. PostgreSQL's REPEATABLE READ is snapshot isolation: it removes non-repeatable reads and phantoms within the snapshot but still admits write skew, because the anomaly is not a re-read of a changed row, it is a read of a set that a concurrent transaction invalidates. Only SERIALIZABLE closes it, by tracking the read dependency and aborting one transaction with SQLSTATE 40001 — a guarantee that exists only if the application re-runs the whole transaction from the read.
- Convert the set predicate into a single-row conflict: keep tenant.active_resource_count and run UPDATE tenant SET active_resource_count = active_resource_count + 1 WHERE tenant_id = $1 AND active_resource_count < 50 in the same transaction as the INSERT. Zero affected rows is the cap, returned as 409. The row lock serialises the decision at any isolation level, and contention is bounded to one tenant's row — which is also the fair-scheduling unit, unlike a global counter that would convoy every tenant behind one row.
- State the cost you just took on: a counter is a second source of truth that can drift, so every path that changes status must adjust it inside the same transaction, and a periodic reconciliation has to exist, with resource_revision as the authority for what the count should have been.
Follow-up
- A resource moves from archived back to active. Which statements change, and what breaks if the counter update and the status change land in different transactions?
- The cap becomes plan-dependent and a plan can change mid-month. Where does the number 50 live, and who reads it?
Write the update path that detects a concurrent edit
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
- 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.
- 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.
- 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.
- 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?
How would you design an infrastructure for real-time model deployment?
How would you design an infrastructure for real-time model deployment?
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- 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?
Describe the process and implications of dynamic linking in a large-scale system.
Describe the process and implications of dynamic linking in a large-scale system.
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- 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 do you optimize for performance when working with GPU-based parallel programming?
How do you optimize for performance when working with GPU-based parallel programming?
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- 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?
What are the common causes of memory leaks in long-running C++ applications?
What are the common causes of memory leaks in long-running C++ applications?
Approach
- Establish what changed and when, before forming any theory.
- Pick a bisection that eliminates candidates whichever way it turns out.
- Check the instrumentation before believing the symptom.
- 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?
Built from the rounds and topics Deepmind candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the Deepmind loop
- Write out the reported sequence: Initial Screening Call, Technical Rounds, Behavioral 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 3 reported rounds, with the weakest marked.
02Work Problem Solving
- Spend the session on Problem Solving, which Deepmind candidates report being tested on.
- Write one worked example in Problem Solving and time yourself on it.
Deliverable: One timed worked example in Problem Solving.
03Work Coding Skills
- Spend the session on Coding Skills, which Deepmind candidates report being tested on.
- Write one worked example in Coding Skills and time yourself on it.
Deliverable: One timed worked example in Coding Skills.
04Work Data Structures
- Spend the session on Data Structures, which Deepmind candidates report being tested on.
- Write one worked example in Data Structures and time yourself on it.
Deliverable: One timed worked example in Data Structures.
05Answer out loud: Coding and Algorithms
- Answer aloud, timed: Implement a function to check if a given matrix is a Hankel matrix.
- Answer aloud, timed: Solve a grid traversal problem involving path optimization.
Deliverable: Spoken answers to 2 reported Coding and Algorithms question(s), under time.
06Answer out loud: System Design and Architecture
- Answer aloud, timed: How would you design an infrastructure for real-time model deployment?
- Answer aloud, timed: Describe the process and implications of dynamic linking in a large-scale system.
Deliverable: Spoken answers to 2 reported System Design and Architecture question(s), under time.
07Answer out loud: Behavioral and Culture Fit
- Answer aloud, timed: Why do you want to work for Deepmind specifically?
- Answer aloud, timed: Describe a time you had to deal with a technical disagreement within your team.
Deliverable: Spoken answers to 2 reported Behavioral and Culture Fit 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.
Why do you want to work for Deepmind specifically?
Why do you want to work for Deepmind specifically?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- 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 time you had to deal with a technical disagreement within your team.
Describe a time you had to deal with a technical disagreement within your team.
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- 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 situations where project requirements are ambiguous or rapidly changing?
How do you handle situations where project requirements are ambiguous or rapidly changing?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- 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 us about a complex technical project you led and the challenges you overcame.
Tell us about a complex technical project you led and the challenges you overcame.
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- 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
Why do you want to work for Deepmind specifically?
- 02
Describe a time you had to deal with a technical disagreement within your team.
- 03
How do you handle situations where project requirements are ambiguous or rapidly changing?
- 04
Tell us about a complex technical project you led and the challenges you overcame.
How long does the interview process typically take?
The process can span several weeks or even months depending on the team and current hiring volume. Plan for a marathon, not a sprint.
Deepmind Software Engineer candidate reports ↗Is there a specific "culture" I should prepare for?
Deepmind values curiosity, intellectual honesty, and a team-first mindset. Focus on demonstrating that you are a learner who is eager to contribute to a collective goal.
Deepmind Software Engineer candidate reports ↗Are the technical questions always related to AI?
Not necessarily. While some questions may touch on ML infrastructure, many are core software engineering and computer science fundamentals.
Deepmind Software Engineer candidate reports ↗What if I don't know the answer to a question?
Be honest. Walk the interviewer through how you would go about finding the answer. We care more about your problem-solving process than your ability to recall facts from memory.
Deepmind Software Engineer candidate reports ↗What topics does Deepmind test in interviews?
Deepmind interviews most often cover Data Structures, Problem Solving, Python, Communication Skills, and Algorithms. The exact emphasis depends on the specific role you apply for.
Deepmind 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.
- 01Deepmind Software Engineer candidate reports ↗
Company-reported rounds, questions and FAQ.
Candidate reports · Accessed 2026-09-22 - 02PracHub Software Engineer practice ↗
PracHub practice material, not company-reported.
PracHub page · Accessed 2026-09-22 - 03PracHub preparation framework ↗
PracHub preparation guidance.
PracHub page · Accessed 2026-09-22
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