
Chevron Software Engineer interviews emphasize STAR-style behavioral questions and short, conversational technical checks like a palindrome check or array duplicates, with structure varying from a single combined session to a multi-stage process.
$126K
Avg. Base Comp
$145K
Avg. Total Comp
Not reported
Typical Rounds
Not reported
Process Length
Chevron's software engineering interviews lean toward behavioral depth over algorithmic difficulty. Across reports from internship, full-time Software Engineer, and Cloud Engineer candidates, most interview time goes to STAR-format behavioral questions drawn from the resume. These include walking through past projects such as a hackathon challenge, describing conflicts with teammates or supervisors, and, for one candidate, explaining how prior projects connect to Chevron's business goals. When technical questions show up, they tend to be short and conversational rather than whiteboard-style. Candidates reported a palindrome string check, finding duplicates in an array, list sorting and array questions, and a base-10-to-base-2 conversion, alongside general CS fundamentals. The reported technical questions were described as easy-level. Candidates noted that interviewers cared more about hearing their thought process than seeing an optimized solution.
Process structure varies by role and track. Some candidates described a single combined interview covering behavioral and technical material in about an hour. One intern had a behavioral first interview with two engineers, followed about two weeks later by a Teams follow-up split between behavioral and technical questions. A Cloud Engineer candidate went through an HR screen and then a technical and behavioral panel of about five people. One full-time candidate reported an SHL online assessment with aptitude, technical multiple-choice, and personality sections before a technical interview and a final HR round. Given this range, prepare concrete STAR stories tied to your own projects and practice explaining simple coding problems out loud. Stay flexible for either a quick single session or a longer multi-stage process.
Synthesized from 9 candidate reports by our editorial team.
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Featured question at Chevron
Select the 2nd highest salary in the engineering department
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| Size of Joins | |
| Prime to N | |
| Green Dot | |
| Retailer Data Warehouse | |
| Bagging vs Boosting | |
| Hurdles In Data Projects | |
| The Brackets Problem | |
| Real-Time Transaction Streaming | |
| Payment Data Pipeline | |
| Flatten N-Dimensional Array to 1D Array | |
| Nearest Common Ancestor | |
| Append Frequency | |
| Decision Tree Evaluation | |
| Sort Strings | |
| Relational Migration | |
| Total Time in Flight | |
| Find Duplicate Numbers in a List | |
| Underpricing Algorithm | |
| Success Measurement | |
| Digit Accumulator | |
| Multi-Reaction | |
| Time Difference | |
| Implementing the Fibonacci Sequence in Three Different Methods | |
| RAG Strict Source Control | |
| Walking Robot | |
| Concurrent LLM Serving | |
| Log Anomaly Detection Model | |
| Data Pipelines and Aggregation | |
| Worker Distribution Dilemma |
Synthesized from candidate reports. Individual experiences may vary.
Some candidates first connected with Chevron through a career fair or a resume submission. A recruiter then reached out to schedule the first interview, in one case for the very next day. One candidate described a brief resume screen and a friendly recruiter call before the main interview.
A Cloud Engineer candidate described an initial HR interview covering background, experience, and education. A full-time Software Engineer candidate instead reported an online assessment on the SHL platform with aptitude questions, technical multiple-choice CS fundamentals, and a lengthy personality section, which they found tougher than expected.
Nearly every candidate describes this stage, either as a single combined session or as a distinct round. Interviewers ask STAR-format behavioral questions drawn from the resume, covering teamwork, conflict with a supervisor or colleague, and challenges overcome, then add a light technical component. Reported technical prompts include a palindrome check, array duplicates, list sorting and arrays, and a base conversion. None were described as requiring deep algorithmic work.
A Cloud Engineer candidate described a panel of about five people, including a scrum master, subject-matter experts, and the manager. The panel drew mostly behavioral questions from a categorized list and kept the technical component light. One intern instead had a follow-up Teams interview about two weeks after the first, split between behavioral questions and a short technical portion.
One full-time candidate described a final HR round that repeated earlier questions about background, projects, and teamwork, which they found repetitive by that point. Other candidates did not report a separate final round.