WeRide interview questions

Showing 1–8 of 8 results

• Compute window averages and merge intervalsMedium

  Compute window averages and merge intervals evaluates SQL or pandas logic, joins, grouping, window functions, null handling, edge cases, and validation in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  WeRideData ScientistData Manipulation (SQL/Python)Technical Screen
• Expand algebraic expression with distributionMedium

  This question evaluates parsing of algebraic expressions, application of the distributive law, string manipulation, and algorithmic reasoning about time and extra-space complexity.

  WeRideSoftware EngineerCoding & AlgorithmsTechnical Screen
• Explain PhD relevance to software engineeringMedium

  This question evaluates the candidate's ability to translate PhD research into practical software engineering competencies, including technical skills (programming, algorithms, systems design, data processing), engineering practices (testing, version control, CI/CD), and communication of measurable impact.

  WeRideSoftware EngineerBehavioral & LeadershipTechnical Screen
• Implement Several Core Algorithmic ComponentsMedium

  This problem tests your ability to implement fundamental algorithms, including caching mechanisms, probability transformations, and geometric counting patterns.

  WeRideSoftware EngineerCoding & AlgorithmsTechnical Screen
• Implement expression expansion to plus-only formMedium

  This question evaluates understanding of expression parsing and algebraic expansion via the distributive property, along with skills in string manipulation, stack-managed state for nested parentheses, and time/space complexity analysis.

  WeRideSoftware EngineerCoding & AlgorithmsTechnical Screen
• Implement matrix multiplication and fast exponentiationMedium

  This question evaluates competency in matrix multiplication, modular arithmetic, and exponentiation algorithms as applied to large-scale numeric computations such as sequence generation.

  WeRideSoftware EngineerCoding & AlgorithmsTechnical Screen
• Test whether two distributions differMedium

  Test whether two datasets come from the same distribution using univariate and multivariate methods, including KS, categorical tests, classifier two-sample tests, MMD, permutation tests, effect sizes, multiple-testing control, clustering-aware uncertainty, and sampling designs.

  WeRideData ScientistStatistics & MathTechnical Screen
• Validate Bracket SequenceMedium

  This problem tests the ability to manage nested structures using a stack to ensure that all opening brackets are closed in the correct order and type.

  WeRideSoftware EngineerCoding & AlgorithmsOnline Assessment