As a Software Engineer at Bear Robotics, you play a pivotal role in advancing cutting-edge robotics technology that enhances the efficiency and capabilities of autonomous systems. This position is essential for developing software that powers robotic solutions, focusing on real-world applications that improve user experiences and operational efficiencies in various environments, such as restaurants and hospitality. You will be involved in critical projects that integrate complex algorithms, control systems, and user interfaces within our robotic platforms. This role is both challenging and rewarding, as you contribute to innovative products that transform how industries operate. You will work closely with cross-functional teams, ensuring the software you develop is robust, scalable, and user-friendly, ultimately impacting the future of robotics and automation.
Online Coding Assessment
reportedInitial assessment to evaluate your coding skills through an online platform.
What to demonstrate
- Initial assessment to evaluate your coding skills through an online platform
- Depth in Robotics SLAM (Simultaneous Localization and Mapping)
How to prepare
- Answer aloud and timed: Explain how you would implement a SLAM algorithm in a mobile robot.
- Answer aloud and timed: What are the differences between state estimation techniques like Kalman Filters and Particle Filters?
Technical Interviews
reportedOne or more interviews that include problem-solving exercises, coding challenges, and discussions about past projects.
What to demonstrate
- One or more interviews that include problem-solving exercises, coding challenges, and discussions about past projects
- Depth in Robotics SLAM (Simultaneous Localization and Mapping)
How to prepare
- Answer aloud and timed: Discuss the trade-offs between different path planning algorithms.
- Answer aloud and timed: Describe how you would optimize a system for real-time performance.
PracHub editorial advice for the preparation topics above.
Practice Coding
Regularly solve problems on platforms like LeetCode or HackerRank to improve your coding skills.
Understand the Company
Research Bear Robotics’ products and mission to better align your answers with their goals.
Engage During Interviews
Communicate your thought process clearly when solving problems, and don’t hesitate to ask clarifying questions.
Network
Connect with current or former employees on platforms like LinkedIn to gain insights about the company culture and interview process.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Explain how you would implement a SLAM algorithm in a mobile robot.
Explain how you would implement a SLAM algorithm in a mobile robot.
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?
Discuss the trade-offs between different path planning algorithms.
Discuss the trade-offs between different path planning algorithms.
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 function to find the longest common subsequence between two strings.
Write a function to find the longest common subsequence between two strings.
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 binary search algorithm.
Implement a binary search algorithm.
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 problem related to graph traversal (e.g., finding the shortest path).
Solve a problem related to graph traversal (e.g., finding the shortest path).
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?
Create a function to detect cycles in a directed graph.
Create a function to detect cycles in a directed graph.
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 your thought process while solving a coding question during the interview.
Explain your thought process while solving a coding question during the interview.
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?
Denormalise tenant onto revisions and backfill it live
resource_revision (revision_id, resource_id, version, actor_user_id, change_kind, patch, request_id, created_at) has 400M rows and no tenant column; tenant_id lives only on resource. Two reads need it: a tenant-scoped audit feed ordered by created_at DESC, and an offboarding purge. Both join back to resource today. Justify adding tenant_id to resource_revision against those two reads, name the anomaly the copy introduces and the constraint that prevents it, then give the ordered migration for a live table taking 1.2k writes/second — the lock each step takes, how the backfill is batched, and where each step stops being reversible. PostgreSQL 16.
Approach
- Justify from the access path rather than from taste. Without the column, the audit feed either scans resource_revision by created_at and discards other tenants' rows, or resolves the tenant's resource_ids first and probes with them — both proportional to the tenant's whole history rather than to one page. With (tenant_id, created_at DESC, revision_id DESC) it is a seek that stops at 50 rows, and the purge becomes a ranged delete instead of a join.
- Name the cost exactly: a second copy of a fact can disagree with the first. Make the disagreement unwritable rather than documented — add UNIQUE (resource_id, tenant_id) on resource so it can serve as a foreign-key target, then FOREIGN KEY (resource_id, tenant_id) REFERENCES resource (resource_id, tenant_id) on the revision table. A revision can then only ever carry its parent's tenant.
- Step one, expand: ALTER TABLE resource_revision ADD COLUMN tenant_id BIGINT NULL, with no default, so it is a catalogue change and no rewrite. It still needs ACCESS EXCLUSIVE for an instant, and that instant queues behind the longest open transaction on the table while every later query queues behind it — set lock_timeout to 2s and retry rather than wait.
- Step two, dual-write: deploy the writer that populates tenant_id on every new revision while reads still use the join. Reversible by redeploying the previous build, because nothing reads the column yet.
Follow-up
- The backfill is half finished and a rollback is required. What state is the table in, and what does the previous build do with a half-populated column?
- How do you verify the backfill actually finished, given rows are still being inserted while it runs?
Keep soft-deleted accounts from blocking re-registration
app_user holds user_id, tenant_id, email CITEXT, password_hash (NULL for SSO principals), email_verified_at, auth_version, status ('invited','active','suspended','deactivated'), created_at, updated_at, deleted_at. Two live accounts for one address inside a tenant must be impossible, but an address freed by a soft delete must be reusable, and the same tenant may delete and re-register it repeatedly. Write the uniqueness DDL for PostgreSQL 16, then the equivalent for MySQL 8 where partial indexes do not exist, and say what each permits once three deleted rows already hold that address.
Approach
- Start from what is actually unique: not (tenant_id, email), but (tenant_id, email) among live rows. PostgreSQL says that directly — CREATE UNIQUE INDEX app_user_live_email ON app_user (tenant_id, email) WHERE deleted_at IS NULL. A full constraint over the same two columns burns the address permanently the first time someone deletes an account.
- Keep case-insensitivity in the type or the index, never in the application: CITEXT as given, or UNIQUE (tenant_id, lower(email)) as an expression index where the extension is unavailable. A case-sensitive unique column is exactly how two accounts for one human appear.
- For MySQL 8 the predicate has to move inside the key: add a discriminator column that is a constant 0 while the row is live and is set to user_id on delete, with UNIQUE (tenant_id, email, deleted_marker). Live rows share the constant and still collide; deleted rows differ from each other and stop colliding.
- State the NULL variant and its dependency: leaving the marker NULL for deleted rows also works, because a unique index treats NULLs as distinct — true in MySQL, and true in PostgreSQL only under the default NULLS DISTINCT, which PostgreSQL 15 lets you reverse. Check the polarity against the three existing deleted rows: constant-on-live is what preserves the collision you want, and reversing it silently admits duplicate live accounts.
Follow-up
- A deleted account re-registers with the same address the next day. Do the old resource rows follow the new user_id, and how does the API keep the two principals apart?
- How do you honour an erasure request while resource_revision.actor_user_id still references this table?
What are the differences between state estimation techniques like Kalman Filters and Particle Filters?
What are the differences between state estimation techniques like Kalman Filters and Particle Filters?
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- 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 optimize a system for real-time performance.
Describe how you would optimize a system for real-time performance.
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
What are the advantages and disadvantages of different sensor types used in robotics?
What are the advantages and disadvantages of different sensor types used in robotics?
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
If tasked with improving a robot's navigation system, what steps would you take?
If tasked with improving a robot's navigation system, what steps would you take?
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
Discuss how you would design a user interface for a robotic application.
Discuss how you would design a user interface for a robotic application.
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 would you approach debugging a system that is failing to operate correctly?
How would you approach debugging a system that is failing to operate correctly?
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 Bear Robotics candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the Bear Robotics loop
- Write out the reported sequence: Online Coding Assessment, Technical Interviews.
- 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 2 reported rounds, with the weakest marked.
02Work Robotics SLAM (Simultaneous Localization and Mapping)
- Spend the session on Robotics SLAM (Simultaneous Localization and Mapping), which Bear Robotics candidates report being tested on.
- Write one worked example in Robotics SLAM (Simultaneous Localization and Mapping) and time yourself on it.
Deliverable: One timed worked example in Robotics SLAM (Simultaneous Localization and Mapping).
03Work Kalman Filters (KF)
- Spend the session on Kalman Filters (KF), which Bear Robotics candidates report being tested on.
- Write one worked example in Kalman Filters (KF) and time yourself on it.
Deliverable: One timed worked example in Kalman Filters (KF).
04Work Extended Kalman Filter (EKF)
- Spend the session on Extended Kalman Filter (EKF), which Bear Robotics candidates report being tested on.
- Write one worked example in Extended Kalman Filter (EKF) and time yourself on it.
Deliverable: One timed worked example in Extended Kalman Filter (EKF).
05Answer out loud: Technical / Domain Questions
- Answer aloud, timed: Explain how you would implement a SLAM algorithm in a mobile robot.
- Answer aloud, timed: What are the differences between state estimation techniques like Kalman Filters and Particle Filters?
Deliverable: Spoken answers to 2 reported Technical / Domain Questions question(s), under time.
06Answer out loud: Coding / Algorithms
- Answer aloud, timed: Write a function to find the longest common subsequence between two strings.
- Answer aloud, timed: Implement a binary search algorithm.
Deliverable: Spoken answers to 2 reported Coding / Algorithms question(s), under time.
07Answer out loud: Behavioral / Leadership
- Answer aloud, timed: Describe a challenging project you worked on and how you overcame obstacles.
- Answer aloud, timed: How do you prioritize tasks when managing multiple projects?
Deliverable: Spoken answers to 2 reported Behavioral / Leadership 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 challenging project you worked on and how you overcame obstacles.
Describe a challenging project you worked on and how you overcame obstacles.
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 prioritize tasks when managing multiple projects?
How do you prioritize tasks when managing multiple projects?
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?
Share an example of when you had to work with a difficult team member.
Share an example of when you had to work with a difficult team member.
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?
What motivates you to work in robotics?
What motivates you to work in robotics?
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 feedback and criticism?
How do you handle feedback and criticism?
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
Describe a challenging project you worked on and how you overcame obstacles.
- 02
How do you prioritize tasks when managing multiple projects?
- 03
Share an example of when you had to work with a difficult team member.
- 04
What motivates you to work in robotics?
What is the typical interview difficulty level?
The interviews at Bear Robotics are considered moderately challenging, requiring a solid understanding of both technical skills and problem-solving abilities. Most candidates prepare by reviewing relevant algorithms and robotics concepts.
Bear Robotics Software Engineer candidate reports ↗How long does the interview process usually take?
The interview process can range from a couple of weeks to a month, depending on scheduling and the number of interview rounds.
Bear Robotics Software Engineer candidate reports ↗What qualities do successful candidates possess?
Successful candidates typically demonstrate strong technical skills, effective communication, and a passion for robotics. They also align well with Bear Robotics's values, showing a commitment to innovation and teamwork.
Bear Robotics Software Engineer candidate reports ↗Is remote work an option?
While some positions may allow for remote work, many roles at Bear Robotics require in-person collaboration, especially for hands-on robotics projects.
Bear Robotics Software Engineer candidate reports ↗What topics does Bear Robotics test in interviews?
Bear Robotics interviews most often cover Kalman Filters (KF), Extended Kalman Filter (EKF), ROS (Robot Operating System), Stakeholder Management, and Monte Carlo methods. The exact emphasis depends on the specific role you apply for.
Bear Robotics 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.
- 01Bear Robotics 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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