At Torc Robotics, a Software Engineer is not just writing code; they are architecting the brain of Level 4 autonomous trucks. As a pioneer in the self-driving vehicle industry and an independent subsidiary of Daimler Truck, Torc Robotics relies on its software engineering team to solve some of the most complex, safety-critical challenges in modern technology. The software you develop directly impacts the movement of massive commercial vehicles operating at highway speeds, making reliability, latency, and functional safety the absolute cornerstones of your daily work. The software engineering organization is divided into specialized teams targeting different layers of the autonomy stack and supporting infrastructure. Whether you are working on real-time embedded systems (MCU Applications), sensor integration and calibration (ADKit Component Enablement), safety-critical execution (SOTIF and Functional Safety), or cloud automation, your code must be highly performant and resilient. The engineering culture is deeply rooted in physical-digital integration, meaning your software must seamlessly interact with complex vehicle dynamics, sensor suites, and hardware platforms under unpredictable real-world conditions. This role offers an inspiring mission—to save lives and revolutionize the global logistics industry—while presenting an elite technical challenge. You will work alongside world-class experts in robotics, machine learning, and systems engineering.
Recruiter Screen
reportedInitial discussion with a recruiter to review your background and fit for the role.
What to demonstrate
- Initial discussion with a recruiter to review your background and fit for the role
- 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.
Online Assessments
reportedOne or more technical assessments conducted on platforms like HackerRank.
What to demonstrate
- One or more technical assessments conducted on platforms like HackerRank
- Depth in C++
How to prepare
- Answer aloud and timed: Write a C++ program to check if a linked list contains a cycle without using external libraries.
- Answer aloud and timed: How does memory fragmentation occur in long-running C++ applications, and how can you mitigate it in a real-time system?
Technical Phone Screen
reportedLive coding interview via phone or video, often using CodePair, with an engineer.
What to demonstrate
- Live coding interview via phone or video, often using CodePair
- 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.
Final Interview Loop
reportedComprehensive virtual or on-site interviews with multiple panels focusing on various skills.
What to demonstrate
- Comprehensive virtual or on-site interviews with multiple panels focusing on various skills
- Depth in C++
How to prepare
- Answer aloud and timed: Given two points in a 2D plane representing a vehicle's path, write a C++ function to determine the line equation and calculate the perpendicular distance from a third point (representing the vehicle's current position) to that line.
- Answer aloud and timed: Explain the difference between Bayesian estimation and deterministic optimization in the context of localization.
PracHub editorial advice for the preparation topics above.
Master C++ intricacies
Go beyond basic syntax. Be prepared to explain exactly how compiler optimization, memory layouts, virtual tables, and smart pointer reference counts operate under the hood.
Prepare your project presentation
If you are asked to present a past project, choose one that highlights your ability to solve complex technical challenges, manage trade-offs, and deliver highly reliable software.
If you are asked to prepare a project presentation, keep it highly technical but structured
Focus on your architectural decisions, trade-offs, and how you validated safety and reliability.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Explain the difference between `std::unique_ptr` and `std::shared_ptr`. How does reference counting affect per
Explain the difference between std::unique_ptr and std::shared_ptr. How does reference counting affect performance in a multithreaded environment?
Approach
- Say what the runtime actually does before reasoning about the code.
- Name what is shared across threads and what owns each piece of state.
- Identify the window where an invariant is briefly untrue.
- 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?
What are the common pitfalls of inheritance in C++? How do virtual destructors work, and what happens if you o
What are the common pitfalls of inheritance in C++? How do virtual destructors work, and what happens if you omit them in a subclass?
Approach
- Say what the runtime actually does before reasoning about the code.
- Name what is shared across threads and what owns each piece of state.
- Identify the window where an invariant is briefly untrue.
- 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?
Write a C++ program to check if a linked list contains a cycle without using external libraries.
Write a C++ program to check if a linked list contains a cycle without using external libraries.
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?
How does memory fragmentation occur in long-running C++ applications, and how can you mitigate it in a real-ti
How does memory fragmentation occur in long-running C++ applications, and how can you mitigate it in a real-time system?
Approach
- Say what the runtime actually does before reasoning about the code.
- Name what is shared across threads and what owns each piece of state.
- Identify the window where an invariant is briefly untrue.
- 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 concept of RAII (Resource Acquisition Is Initialization) and how it relates to exception safety in
Explain the concept of RAII (Resource Acquisition Is Initialization) and how it relates to exception safety in C++.
Approach
- Say what the runtime actually does before reasoning about the code.
- Name what is shared across threads and what owns each piece of state.
- Identify the window where an invariant is briefly untrue.
- 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?
Describe how you would implement a basic A* pathfinding algorithm. What heuristics would you choose for an aut
Describe how you would implement a basic A* pathfinding algorithm. What heuristics would you choose for an autonomous truck on a highway?
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?
How do you approach writing software when the requirements are highly ambiguous or the hardware platform is st
How do you approach writing software when the requirements are highly ambiguous or the hardware platform is still under development?
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?
Replace offset paging on the resource feed with keyset
resource holds resource_id, tenant_id, owner_user_id, title, body_ref, version, status ('draft','active','archived','deleted'), created_at, updated_at, deleted_at, with an index on (tenant_id, status, updated_at DESC, resource_id DESC). The listing endpoint returns active resources for one tenant, newest update first, 50 per page, today with LIMIT 50 OFFSET n. Tenants reach page 400 and rows are created while they read. Write the keyset query, define what the cursor carries and how it is encoded, and say which part of the index each predicate uses. Assume PostgreSQL 16.
Approach
- Name the two failures separately. OFFSET 20000 makes the server produce and discard 20,000 rows, so page cost grows with depth rather than with page size. Independently, any write that changes how many rows sort above the offset moves the window between two fetches, and the direction decides which anomaly you get: an insert lands at the head of updated_at DESC and pushes already-returned rows down past the boundary, so they are returned a second time; a delete above the offset, or a row whose updated_at is bumped above the cursor, pulls rows up and one is never returned at all. Nothing in the response reveals either.
- Write the seek: WHERE tenant_id = $1 AND status = 'active' AND (updated_at, resource_id) < ($2, $3) ORDER BY updated_at DESC, resource_id DESC LIMIT 50. The row-value comparison is one index range rather than a disjunction, and both columns are NOT NULL, which is what makes that comparison well defined.
- Map each predicate onto the index: tenant_id and status are equality on the leading columns, (updated_at, resource_id) is the range, and the ORDER BY matches the index order so no Sort node appears and the scan stops after 50 rows. The DESC in the definition only matters for mixed directions — a plain ascending btree on the same columns is read backwards for this query.
- Put both sort columns in the cursor and nothing the client can tamper with into another tenant: base64 of (updated_at, resource_id), validated server-side, with tenant_id taken from the principal.
Follow-up
- The client asks for 'jump to page 400'. What do you offer instead, and what does the honest version cost?
- Sort order becomes user-selectable across four columns. How many indexes is that, and which would you refuse to add?
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?
Walk through the mathematical formulation of a Kalman Filter. How would you apply it to fuse data from a GPS a
Walk through the mathematical formulation of a Kalman Filter. How would you apply it to fuse data from a GPS and an IMU?
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?
Given two points in a 2D plane representing a vehicle's path, write a C++ function to determine the line equat
Given two points in a 2D plane representing a vehicle's path, write a C++ function to determine the line equation and calculate the perpendicular distance from a third point (representing the vehicle's current position) to that line.
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?
Explain the difference between Bayesian estimation and deterministic optimization in the context of localizati
Explain the difference between Bayesian estimation and deterministic optimization in the context of localization.
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?
How do you model vehicle kinematics and tire dynamics when calculating maximum safe velocity around a curve?
How do you model vehicle kinematics and tire dynamics when calculating maximum safe velocity around a curve?
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?
Design a software architecture for a vehicle diagnostic system that monitors safety-critical sensors and must
Design a software architecture for a vehicle diagnostic system that monitors safety-critical sensors and must trigger an emergency stop within 50 milliseconds of a failure.
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 design a high-throughput logging system that records sensor data (LIDAR, camera, radar) without
How would you design a high-throughput logging system that records sensor data (LIDAR, camera, radar) without degrading the performance of the primary autonomy pipeline?
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?
Explain how you would structure a modular, testable interface for integrating third-party sensor hardware into
Explain how you would structure a modular, testable interface for integrating third-party sensor hardware into an existing autonomy stack.
Approach
- Say who the caller is and what they do when the call fails halfway.
- Define the identity of a request so a retry cannot double-apply it.
- Separate accepted, pending, failed and confirmed; they are different facts.
- Design the error taxonomy before the success shape; callers branch on it.
Follow-up
- What happens if the caller retries after a timeout?
- How does a client discover it is on an old version of this contract?
Design a cloud-based automation pipeline to ingest, process, and catalog terabytes of drive data collected by
Design a cloud-based automation pipeline to ingest, process, and catalog terabytes of drive data collected by test vehicles daily.
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?
p99 jumped on one listing filter while p50 stayed flat
After a release that added an owner_user_id filter to the resource listing, p99 rose from 90 ms to 1.9 s while p50 stayed at 40 ms. Traffic and row counts are unchanged. resource carries the index (tenant_id, status, updated_at DESC, resource_id DESC). The new query filters tenant_id and owner_user_id, orders by updated_at DESC, resource_id DESC, and takes 20 rows. On PostgreSQL, explain the shape of the regression, prove it from a query plan, and give the index you would add.
Approach
- Start from the shape. A flat p50 with a moved p99 means a subset of requests changed cost, not all of them, so the first job is naming the subset. Bucket the endpoint's latency by the tenant's row count; the natural hypothesis is that large tenants are a small share of requests and all of the tail.
- Get the plan for the new query on a large tenant with EXPLAIN (ANALYZE, BUFFERS). Expect an index scan over the tenant's range, a filter discarding most of it, then a Sort feeding the Limit, possibly reporting Sort Method: external merge Disk. Read actual rows on the scan node, not estimated.
- Explain why the existing index cannot serve it. A composite B-tree is seekable only as a left prefix, and with no equality predicate on status the scan cannot treat updated_at as an ordering, because rows in the tenant's range are ordered by status first. Everything matching must be read and sorted before LIMIT 20 can apply, so a tenant with 400,000 rows pays 400,000 rows to return 20.
- Add (tenant_id, owner_user_id, updated_at DESC, resource_id DESC). Equality on the first two columns leaves the index ordered by updated_at within that pair, so the plan becomes an index scan that stops after 20 rows with no Sort node. PostgreSQL can scan a B-tree backwards, so the DESC markers matter only if the two sort columns ever disagree in direction; keeping them explicit documents the order the keyset cursor depends on.
Follow-up
- The endpoint paginates with OFFSET. What does page 500 cost with your index, and what does the keyset version cost?
- How would you have caught this before release, given that a 10,000-row seed database produces the same plan shape at an unnoticeable cost?
Built from the rounds and topics Torc Robotics candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the Torc Robotics loop
- Write out the reported sequence: Recruiter Screen, Online Assessments, Technical Phone Screen, Final Interview Loop.
- 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 C++
- Spend the session on C++, which Torc Robotics candidates report being tested on.
- Write one worked example in C++ and time yourself on it.
Deliverable: One timed worked example in C++.
03Work STL (Standard Template Library)
- Spend the session on STL (Standard Template Library), which Torc Robotics candidates report being tested on.
- Write one worked example in STL (Standard Template Library) and time yourself on it.
Deliverable: One timed worked example in STL (Standard Template Library).
04Work Problem Solving (Coding Challenges)
- Spend the session on Problem Solving (Coding Challenges), which Torc Robotics candidates report being tested on.
- Write one worked example in Problem Solving (Coding Challenges) and time yourself on it.
Deliverable: One timed worked example in Problem Solving (Coding Challenges).
05Answer out loud: C++ & Low-Level Programming
- Answer aloud, timed: Explain the difference between `std::unique_ptr` and `std::shared_ptr`. How does reference counting affect performance in a multithreaded environment?
- Answer aloud, timed: What are the common pitfalls of inheritance in C++? How do virtual destructors work, and what happens if you omit them in a subclass?
Deliverable: Spoken answers to 2 reported C++ & Low-Level Programming question(s), under time.
06Answer out loud: Robotics, Dynamics & Mathematics
- Answer aloud, timed: Walk through the mathematical formulation of a Kalman Filter. How would you apply it to fuse data from a GPS and an IMU?
- Answer aloud, timed: Given two points in a 2D plane representing a vehicle's path, write a C++ function to determine the line equation and calculate the perpendicular distance from a third point (representing the vehicle's current position) to that line.
Deliverable: Spoken answers to 2 reported Robotics, Dynamics & Mathematics question(s), under time.
07Answer out loud: System Design & Architecture
- Answer aloud, timed: Design a software architecture for a vehicle diagnostic system that monitors safety-critical sensors and must trigger an emergency stop within 50 milliseconds of a failure.
- Answer aloud, timed: How would you design a high-throughput logging system that records sensor data (LIDAR, camera, radar) without degrading the performance of the primary autonomy pipeline?
Deliverable: Spoken answers to 2 reported System Design & Architecture 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.
Tell me about a time when you had a technical disagreement with a teammate or manager. How did you resolve it,
Tell me about a time when you had a technical disagreement with a teammate or manager. How did you resolve it, and what was the outcome?
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 situation where you discovered a critical safety or quality defect in a system close to release. Wh
Describe a situation where you discovered a critical safety or quality defect in a system close to release. What actions did you take?
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?
Why are you interested in working in the autonomous vehicle industry, and how do you prioritize safety versus
Why are you interested in working in the autonomous vehicle industry, and how do you prioritize safety versus rapid feature deployment?
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
Tell me about a time when you had a technical disagreement with a teammate or manager. How did you resolve it, and what was the outcome?
- 02
Describe a situation where you discovered a critical safety or quality defect in a system close to release. What actions did you take?
- 03
Why are you interested in working in the autonomous vehicle industry, and how do you prioritize safety versus rapid feature deployment?
How difficult is the technical interview at Torc Robotics?
The interview is challenging and highly practical. Rather than focusing solely on abstract LeetCode puzzles, Torc Robotics evaluates your ability to write clean, production-ready C++ code, manage memory, and solve real-world engineering and mathematical problems. Thorough preparation in C++ fundamentals, system design, and basic robotics math is highly recommended.
Torc Robotics Software Engineer candidate reports ↗What is the typical timeline for the hiring process?
The process generally takes between 3 to 6 weeks. While some candidates experience highly efficient, rapid turnarounds (especially when holding competing offers), others may experience lag times during recruiter handoffs or scheduling. Maintaining proactive communication with your recruiter is key.
Torc Robotics Software Engineer candidate reports ↗How much does Torc Robotics emphasize safety during the interview?
Safety is a core company value and is evaluated throughout the process. In both technical and behavioral rounds, you should emphasize your commitment to thorough testing, robust error handling, defensive programming, and adherence to safety standards.
Torc Robotics Software Engineer candidate reports ↗Do I need prior robotics or autonomous vehicle experience to apply?
No. While prior robotics experience is a major plus, Torc Robotics actively hires talented systems, cloud, and embedded software engineers from other industries—such as defense, aerospace, gaming, and telecommunications—who possess strong C++ and problem-solving skills.
Torc Robotics Software Engineer candidate reports ↗Where are the software engineering teams located?
Software engineering roles are primarily located in Blacksburg, VA, and Ann Arbor, MI, with some opportunities for remote work or hybrid arrangements depending on the specific team and hardware dependency.
Torc Robotics Software Engineer candidate reports ↗What topics does Torc Robotics test in interviews?
Torc Robotics interviews most often cover C++, Python, Polymorphism, Object-Oriented Programming (OOP), and Inheritance. The exact emphasis depends on the specific role you apply for.
Torc 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.
- 01Torc 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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