As a Software Engineer at TechnipFMC, you occupy a vital role at the intersection of modern software development, hardware automation, and energy architecture. TechnipFMC is a global leader in subsea, onshore/offshore, and surface technology, delivering energy solutions across the globe. Software engineers here build high-reliability control systems, supervisory applications, real-time data ingestion platforms, and digital twin tools that directly monitor and operate critical infrastructure under demanding real-world conditions. Your work directly impacts the safety, efficiency, and sustainability of complex energy systems. Unlike traditional software environments focused solely on web apps or cloud services, engineering at TechnipFMC requires close interaction with physical machinery, extra-low voltage (ELV) networks, sensor arrays, and subsea control systems. Software engineers design deterministic control logic, develop embedded firmware, create supervisory user interfaces, and build diagnostic tools that operate continuously with zero tolerance for system failure. This position offers a compelling technical challenge: building software systems that bridge physical equipment and digital intelligence.
Online Screening Assessment
reportedInitial assessment to review your background, communication skills, and compensation expectations.
What to demonstrate
- Initial assessment to review your background, communication skills, and compensation expectations
- Depth in ELV Systems (Broad)
How to prepare
- Answer aloud and timed: Explain the difference between process memory management in low-level languages and managed languages, and how memory leaks impact long-term control logic.
- Answer aloud and timed: Walk through how you would implement a deterministic state machine for controlling industrial valve states or pump operations.
Technical Interviews
reportedInterviews conducted by engineering leads and department managers to evaluate technical competence.
What to demonstrate
- Interviews conducted by engineering leads and department managers to evaluate technical competence
- Depth in ELV Systems (Broad)
How to prepare
- Answer aloud and timed: What strategies do you use for real-time data acquisition when bandwidth or hardware processing power is strictly limited?
- Answer aloud and timed: How do you handle hardware-software communication timeouts and protocol errors without bringing down the entire monitoring system?
Assessment Center Day
reportedParticipation in group problem-solving exercises, technical presentations, or a take-home engineering design challenge.
What to demonstrate
- Participation in group problem-solving exercises, technical presentations, or a take-home engineering design challenge
- Depth in ELV Systems (Broad)
How to prepare
- Answer aloud and timed: Explain the key differences between synchronous and asynchronous messaging patterns when integrating subsea telemetry devices.
- Answer aloud and timed: Given a system schematic for a subsea control unit, how would you structure the software module responsible for continuous telemetry logging?
PracHub editorial advice for the preparation topics above.
Focus on Logic Over Memorization
When answering technical questions, explicitly explain the logic behind your choices. TechnipFMC values candidates who justify why a specific data structure, language feature, or architecture choice fits the problem best.
Clarify ambiguous requirements
Interviewers often present intentionally broad scenarios. Take a moment to ask questions about constraints, environment, and user requirements before proposing solutions.
Structure behavioral stories
Prepare 4–5 core stories covering team conflict, technical trade-offs, and project delivery. Format them using the STAR technique to ensure concise and impactful answers.
Highlight cross-functional teamwork
Emphasize experience collaborating with electrical, mechanical, or field service engineers. Showing that you communicate effectively across technical domains is a major advantage.
Review company technology focus
Familiarize yourself with TechnipFMC's core product lines, including subsea trees, surface control infrastructure, and energy transition initiatives, to demonstrate genuine interest during executive and HR interviews.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Explain the difference between process memory management in low-level languages and managed languages, and how
Explain the difference between process memory management in low-level languages and managed languages, and how memory leaks impact long-term control logic.
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?
Merge partitioned event streams into one ordered feed with bounded lateness
The read-model service consumes 64 log partitions carrying about 4,000 events per second in total. Each partition is ordered within itself, but partitions drift by up to 30 seconds, and the activity feed must present a tenant's events in occurred_at order. Produce the merge. State its complexity, the buffer it requires in events and in bytes, what happens when one partition is idle, and what you do with an event that arrives after you have already emitted its position. Payloads average 1 KB.
Approach
- Merge with a min-heap over the 64 partition heads keyed on (occurred_at, event_id): O(log P) per event and O(n log P) overall. The tie-break on event_id is what makes the output deterministic when two partitions carry the same millisecond, which matters because the feed is paginated and a non-deterministic order reorders pages under the reader.
- Emitting the heap head is only correct once every partition has produced everything up to that timestamp, so the emit condition is a watermark: the minimum across partitions of the highest occurred_at seen, less the allowed lateness. Events are held until the watermark passes them, which is what turns individually ordered streams into a jointly ordered one.
- Size the buffer from the lateness rather than guessing: 4,000 events per second times 30 seconds is 120,000 buffered events, and at 1 KB each about 120 MB of heap. That number is the real price of the ordering guarantee and belongs in front of whoever asked for it.
- Handle the idle partition explicitly, because it fails the feed rather than corrupting it: a partition with no traffic never advances its own maximum, so the watermark freezes and output stops entirely. Either every partition emits a periodic idle marker carrying the broker's current time, or the watermark falls back to wall clock for a partition silent beyond a threshold.
Follow-up
- The lateness budget is raised to five minutes. What is the new buffer, and what besides memory changes?
- The consumer restarts. Where does it resume from, and what does the feed look like for the first 30 seconds?
Archive a resource graph without breaking live references or recursing
Resources reference other resources within a tenant; for the largest tenant the reference table holds up to 2,000,000 nodes and 8,000,000 edges. Archiving a resource must archive everything reachable from it that nothing outside the set still references, refuse when a live external referrer exists, and terminate when references form cycles, which they legitimately do. Produce the archive order and the refusal list, targeting O(V+E). Say what stops the traversal crossing a tenant boundary, and why recursion is the wrong control structure at this size.
Approach
- Load the subgraph with the tenant predicate on both endpoints of the edge, not only on the side you started from. Scoping the left table alone is the classic cross-tenant leak: one mis-entered edge then pulls another tenant's resources into the traversal and, worse, into the archive.
- Traverse iteratively with an explicit stack. A 2,000,000-node graph can hold a chain deep enough to exhaust a native stack in the low tens of thousands of frames, and that failure is a process crash rather than an error you can return.
- Treat cycles as data rather than corruption: compute strongly connected components with Tarjan in O(V+E) using its own explicit stack, then condense. The condensation is a DAG, so a topological order over it gives the archive order, and every member of a component archives in one transaction because no order within a cycle is valid.
- Decide refusals with reverse edges. A candidate is archivable only if every in-edge originates inside the candidate set, so build the transpose or count in-degrees restricted to the visited set, and emit each blocked resource with the id of the external referrer, which is the only part of the answer an operator can act on.
Follow-up
- The graph is read in one query and the archive writes a minute later. What can change in between, and how do you make the write safe?
- The candidate set is 400,000 resources. Is that one transaction, and if not, what does a half-finished archive look like to a reader?
Explain why the owner filter ignores the listing index
The only index on resource is (tenant_id, status, updated_at DESC, resource_id DESC). A new endpoint returns one user's resources across all statuses, newest created first: WHERE tenant_id = $1 AND owner_user_id = $2 ORDER BY created_at DESC LIMIT 20. On a tenant with 2M rows it takes 900 ms and EXPLAIN shows a sort above a large scan. Explain precisely why the existing index cannot serve it, give the index that can, and state which of these the new index still will not help: owner_user_id alone across tenants; the same query ordered by updated_at. PostgreSQL 16.
Approach
- Separate the two jobs an index does. For filtering, a composite btree is seekable only on a left prefix, so with no predicate on status the scan can at best range over tenant_id and test owner_user_id per row; PostgreSQL 16 has no btree skip scan to jump the unconstrained column.
- For ordering, the index is sorted by (status, updated_at) within a tenant and not by created_at, so the LIMIT cannot stop early: every matching row is read and then sorted. That is the 'Sort Method: top-N heapsort' line, and it is why the plan reads 2M rows to answer with 20.
- Derive the replacement from the access path — equality, equality, then the ordering column: CREATE INDEX CONCURRENTLY ON resource (tenant_id, owner_user_id, created_at DESC). The scan seeks to the (tenant, owner) range and walks 20 entries in order, so the Sort node disappears along with the row-read.
- Treat INCLUDE (title, status) as conditional, not free. An index-only scan still visits the heap for any row whose page is not marked all-visible, so on a table taking 1.2k writes/second the win depends on autovacuum keeping the visibility map current, and the wider index costs more on every insert.
Follow-up
- 90% of rows are status='active'. Would a partial index WHERE status = 'active' change your answer, and for which of the three queries?
- A dashboard runs this for 40 owners in one page load. What changes about the design?
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?
Walk through how you would implement a deterministic state machine for controlling industrial valve states or
Walk through how you would implement a deterministic state machine for controlling industrial valve states or pump operations.
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 strategies do you use for real-time data acquisition when bandwidth or hardware processing power is stric
What strategies do you use for real-time data acquisition when bandwidth or hardware processing power is strictly limited?
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 key differences between synchronous and asynchronous messaging patterns when integrating subsea te
Explain the key differences between synchronous and asynchronous messaging patterns when integrating subsea telemetry devices.
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?
Given a system schematic for a subsea control unit, how would you structure the software module responsible fo
Given a system schematic for a subsea control unit, how would you structure the software module responsible for continuous telemetry logging?
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?
Walk us through your approach to designing an Extra-Low Voltage (ELV) monitoring software platform for safety
Walk us through your approach to designing an Extra-Low Voltage (ELV) monitoring software platform for safety and control equipment.
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 architect a fault-tolerant failover mechanism for critical software services running on remote e
How would you architect a fault-tolerant failover mechanism for critical software services running on remote energy assets?
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 considerations do you account for when designing software user interfaces for field operators working und
What considerations do you account for when designing software user interfaces for field operators working under stressful, high-risk conditions?
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 validate and test control software logic prior to physical deployment using hardware-in-the-loop (H
How do you validate and test control software logic prior to physical deployment using hardware-in-the-loop (HIL) testing?
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?
You are presented with a 7-day design assignment involving a field telemetry challenge. What step-by-step proc
You are presented with a 7-day design assignment involving a field telemetry challenge. What step-by-step process do you follow from requirements to presentation?
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 analyze an existing codebase or flow diagram to identify performance bottlenecks and security vulne
How do you analyze an existing codebase or flow diagram to identify performance bottlenecks and security vulnerabilities?
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?
Exports duplicate a row range about once a week
Roughly once a week an export writes a file containing a duplicated range of rows. The affected job_run rows show attempt = 1, status = succeeded, one started_at, and a lease_owner naming a different host from the one whose logs show the job starting. Leases last 30 seconds and are heartbeated every 10 from inside the handler; lease_expires_at is computed on the worker and compared against the database's now(). Find the mechanism, and give a fix that holds even if you cannot fix the clocks.
Approach
- Start from the fact that eliminates the obvious answer. attempt = 1 means no retry was recorded, so this is not a re-run after failure; two workers ran the same row concurrently and the takeover path never touched the counter. lease_owner naming a host other than the one that started the job is the same statement from the other side.
- Enumerate the mechanisms that cause a premature takeover, then find the signal that separates them. Either the lease genuinely expired because the heartbeat did not fire, which is what happens when the heartbeat runs on the handler's own thread and the handler makes a long blocking call, or it only appeared expired because two clocks disagree, since lease_expires_at is written from the worker's clock and evaluated against the database's. The discriminator is the distribution: incidents clustered on the longest exports indict the heartbeat, incidents clustered on one host indict skew. Measure both, and measure each host's offset against the database directly.
- Read the reclaim query precisely. In PostgreSQL now() is transaction start time, not statement time, so a reclaimer holding a long transaction compares against an older timestamp than expected; clock_timestamp() is the statement-time function. This is worth ruling in or out before you redesign anything, because it changes which rows look expired.
- Remove the second clock rather than trying to synchronise it. Issue and extend the lease in the database, with lease_expires_at = now() + interval '30 seconds' in both the claim and the heartbeat, so exactly one clock is ever compared and worker skew stops mattering to this predicate.
Follow-up
- The displaced worker has already streamed half the file to object storage. What makes that side effect safe to repeat?
- You now count takeovers. What alert fires on that counter, and at what threshold?
Built from the rounds and topics TechnipFMC candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the TechnipFMC loop
- Write out the reported sequence: Online Screening Assessment, Technical Interviews, Assessment Center Day.
- 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 ELV Systems (Broad)
- Spend the session on ELV Systems (Broad), which TechnipFMC candidates report being tested on.
- Write one worked example in ELV Systems (Broad) and time yourself on it.
Deliverable: One timed worked example in ELV Systems (Broad).
03Work Communication Skills (Technical Articulation)
- Spend the session on Communication Skills (Technical Articulation), which TechnipFMC candidates report being tested on.
- Write one worked example in Communication Skills (Technical Articulation) and time yourself on it.
Deliverable: One timed worked example in Communication Skills (Technical Articulation).
04Work Engineering Problem Solving
- Spend the session on Engineering Problem Solving, which TechnipFMC candidates report being tested on.
- Write one worked example in Engineering Problem Solving and time yourself on it.
Deliverable: One timed worked example in Engineering Problem Solving.
05Answer out loud: Core Software & Technical Fundamentals
- Answer aloud, timed: Explain the difference between process memory management in low-level languages and managed languages, and how memory leaks impact long-term control logic.
- Answer aloud, timed: Walk through how you would implement a deterministic state machine for controlling industrial valve states or pump operations.
Deliverable: Spoken answers to 2 reported Core Software & Technical Fundamentals question(s), under time.
06Answer out loud: System Architecture & Design Scenarios
- Answer aloud, timed: Given a system schematic for a subsea control unit, how would you structure the software module responsible for continuous telemetry logging?
- Answer aloud, timed: Walk us through your approach to designing an Extra-Low Voltage (ELV) monitoring software platform for safety and control equipment.
Deliverable: Spoken answers to 2 reported System Architecture & Design Scenarios question(s), under time.
07Answer out loud: Behavioral & Communication
- Answer aloud, timed: Describe a project where you had to work with a team member who was uncooperative or resistant to agreed engineering guidelines. How did you resolve it?
- Answer aloud, timed: Walk me through your resume and explain how your past project decisions demonstrate your problem-solving process.
Deliverable: Spoken answers to 2 reported Behavioral & Communication 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.
How do you handle hardware-software communication timeouts and protocol errors without bringing down the entir
How do you handle hardware-software communication timeouts and protocol errors without bringing down the entire monitoring system?
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 project where you had to work with a team member who was uncooperative or resistant to agreed engin
Describe a project where you had to work with a team member who was uncooperative or resistant to agreed engineering guidelines. How did you resolve it?
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?
Walk me through your resume and explain how your past project decisions demonstrate your problem-solving proce
Walk me through your resume and explain how your past project decisions demonstrate your problem-solving process.
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 me about a time when an ambiguous technical requirement caused confusion. How did you clarify expectation
Tell me about a time when an ambiguous technical requirement caused confusion. How did you clarify expectations before writing code?
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?
Where do you see your career progressing in the next five to fifteen years within an energy technology company
Where do you see your career progressing in the next five to fifteen years within an energy technology company like TechnipFMC?
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 software safety and quality standards when project timelines are tight?
How do you prioritize software safety and quality standards when project timelines are tight?
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?
During a group problem-solving exercise, how do you handle a situation where the group's proposed software arc
During a group problem-solving exercise, how do you handle a situation where the group's proposed software architecture has a significant flaw?
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
How do you handle hardware-software communication timeouts and protocol errors without bringing down the entire monitoring system?
- 02
Describe a project where you had to work with a team member who was uncooperative or resistant to agreed engineering guidelines. How did you resolve it?
- 03
Walk me through your resume and explain how your past project decisions demonstrate your problem-solving process.
- 04
Tell me about a time when an ambiguous technical requirement caused confusion. How did you clarify expectations before writing code?
How difficult are the technical interviews at TechnipFMC?
The technical difficulty is moderate to high, focusing heavily on core principles, logic, and structured thinking rather than trick coding puzzles. Interviewers care more about your underlying reasoning and problem-solving method than instant perfection.
TechnipFMC Software Engineer candidate reports ↗Is prior oil and gas or subsea industry experience required?
While domain knowledge is a plus, it is generally not required for candidate evaluation. TechnipFMC values strong core engineering fundamentals, software design skills, and the capacity to learn domain-specific systems quickly. Avoid memorizing answers verbatim. TechnipFMC interviewers deliberately dig deeper with follow-up questions to test whether your logic holds up under scrutiny.
TechnipFMC Software Engineer candidate reports ↗What is the typical timeline from first contact to an offer?
The hiring process generally takes between two to four weeks. Timelines vary depending on location, team urgency, and whether the role includes a take-home design presentation or group assessment day.
TechnipFMC Software Engineer candidate reports ↗What differentiates successful candidates in this process?
Successful candidates distinguish themselves by asking thoughtful clarifying questions before diving into answers, communicating their logic step-by-step, and demonstrating enthusiasm for solving real-world physical and industrial engineering challenges.
TechnipFMC Software Engineer candidate reports ↗What topics does TechnipFMC test in interviews?
TechnipFMC interviews most often cover Communication Skills, HR Screening, Problem Solving, ELV Systems (Broad), and Quality Assurance (QA). The exact emphasis depends on the specific role you apply for.
TechnipFMC 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.
- 01TechnipFMC 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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