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Software Engineer Interview Questions

Practice 9403 coding, system design and machine learning questions from 546 companies, sorted by role, topic and interview round. Every question has step-by-step hints, a code runner that supports 8 languages and an AI mentor; members also get the full solution walkthrough.

9403
Questions
546
Companies
11
Topics
8
Languages

Showing 541–570 of 748 results

  • NVIDIAMediumSoftware Engineer
    Introduce yourself for a senior role

    This question evaluates leadership, communication, ownership, and impact-articulation skills for a senior software engineer, focusing on the ability to concisely present scope, technical and business outcomes, and future alignment.

    Behavioral & LeadershipTechnical Screen
  • NVIDIAMediumSoftware Engineer
    Plan discovery and adoption strategy

    This question evaluates a candidate's skills in product discovery, stakeholder alignment, technical communication, and developer adoption strategy for integrating a new ML technique, including defining use cases, constraints, baselines, and success criteria.

    Behavioral & LeadershipTechnical Screen
  • NVIDIAMediumSoftware Engineer
    Solve a Difficult Problem and Navigate Disagreement

    Assesses technical problem-solving rigor, hypothesis testing, and the ability to resolve technical disagreements using data, empathy, and shared goals.

    Behavioral & LeadershipTechnical ScreenBehavioralConflict ResolutionProblem Solving
  • NavanMediumSoftware Engineer
    How to answer frontend video-screen behavioral prompts

    This question evaluates frontend engineering expertise, communication and collaboration skills, and domain-specific competencies such as Angular and scalable SaaS web application experience.

    Behavioral & LeadershipOnsite
  • NetappMediumSoftware Engineer
    Prioritize Several Simultaneous High-Priority Tasks

    This question assesses the candidate's ability to manage competing project demands, utilize objective criteria for prioritization, and communicate effectively with stakeholders under pressure.

    Behavioral & LeadershipOnsitePrioritizationCommunicationConflict Resolution
  • NetappMediumSoftware Engineer
    Resolve a Conflict Within an Engineering Team

    This question assesses the candidate's ability to navigate technical or process-related disagreements within a team, focusing on conflict resolution strategies, interpersonal communication, and long-term project outcomes.

    Behavioral & LeadershipOnsiteConflict ResolutionSoft SkillsTeamwork
  • NetflixMediumSoftware Engineer
    Answer Netflix Culture Screen Questions

    This question evaluates a candidate's cultural fit, communication clarity, leadership, ownership, and ability to summarize measurable impact for a senior software engineer role on a high-scale advertising product at a large streaming platform.

    Behavioral & LeadershipHR Screen
  • NetflixHardSoftware Engineer
    Demonstrate domain expertise and ramp-up ability

    This question evaluates domain expertise and ramp-up ability by examining prior experience, learning strategies for unfamiliar domains, cross-functional collaboration, and measurable impact within a software engineering context.

    Behavioral & LeadershipTechnical Screen
  • NetflixHardSoftware Engineer
    How do you give and receive feedback?

    This question evaluates a software engineer's interpersonal competencies, specifically the ability to give and receive constructive feedback, demonstrate emotional intelligence, take ownership, and collaborate across cross-functional teams.

    Behavioral & LeadershipOnsite
  • NetflixMediumSoftware Engineer
    Show Behavioral Fit and Experience

    Show Behavioral Fit and Experience evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    Behavioral & LeadershipHR Screen
  • NetflixMediumSoftware Engineer
    Show role fit using past ad experience

    This question evaluates a candidate's ability to demonstrate role fit by mapping past ads engineering projects to job requirements and communicating measurable impact, assessing competencies such as ownership, cross-functional collaboration, incident debugging, and prioritization.

    Behavioral & LeadershipOnsite
  • NextdoorMediumSoftware Engineer
    Which culture principle resonates and why

    This question evaluates self-awareness, cultural fit, reflective leadership, and communication skills within the Behavioral & Leadership domain for a software engineering role.

    Behavioral & LeadershipHR Screen
  • NielsenMediumSoftware Engineer
    Behavioral: Walk Through the Project You Are Most Proud Of

    A senior behavioral question that asks which project you are most proud of and why, then probes your personal contribution, the hardest decision you made, and the measurable impact. It tests ownership, technical depth, and the ability to explain trade-offs and lessons clearly to an interviewer.

    Behavioral & LeadershipOther
  • NordstromMediumSoftware Engineer
    Senior Engineer Leadership Screen: Project Scope, Coding Time, Ownership, Hard Problems

    This interview scenario assesses senior-level engineering leadership, architectural ownership, and the practical balance between hands-on coding and technical coordination within high-throughput systems like fulfillment and supply chain.

    Behavioral & LeadershipTechnical Screenleadershipbehavioralsystem-ownership
  • NuroHardSoftware Engineer
    Explain Project Scope, Ownership, and Technical Challenges

    Assess a candidate's ability to articulate end-to-end technical leadership, architectural decision-making, and deep problem-solving on a complex engineering project. Evaluates clear communication of personal ownership, rigorous validation methods, and retrospective insights.

    Behavioral & LeadershipOnsiteBehavioralTechnical LeadershipArchitecture
  • OktaMediumSoftware Engineer
    Behavioral: How You Use AI, Lead Engineers, and Work with Another Team or PM

    A three-part behavioral screen for a software engineer: how you use AI tools in your engineering work, a time you led other engineers on a project, and a project you delivered with another team or a product manager. Tests judgment about AI output, technical leadership, and cross-functional collaboration.

    Behavioral & LeadershipTechnical Screen
  • OmnissaMediumSoftware Engineer
    Present a Project Architecture and Your Hardest Technical Decision

    This question evaluates your ability to articulate complex system architectures clearly, explain key technical trade-offs, demonstrate personal ownership, and evaluate the long-term impact of architectural decisions.

    Behavioral & LeadershipOnsiteSystem ArchitectureTechnical LeadershipTrade-Off Analysis
  • OmnissaMediumSoftware Engineer
    Prioritize Two Important Tasks with Competing Deadlines

    Assesses how an engineer navigates conflicting priorities, evaluates business versus technical trade-offs, communicates transparently with stakeholders, and executes under tight timelines.

    Behavioral & LeadershipOnsiteBehavioralPrioritizationStakeholder Management
  • OpenAIMediumSoftware Engineer
    0-to-1 Ownership, Critical Feedback Both Ways, Defining Success, and Why OpenAI

    A software engineer behavioral round covering a 0-to-1 project you built, a time you received negative feedback, how you deliver critical feedback to others, how you define success for a project or product, and why you want to join OpenAI. It tests ownership, self-awareness, communication and motivation.

    Behavioral & LeadershipOnsite
  • OpenAIHardSoftware Engineer
    A Project You Decided Not to Ship

    This question evaluates your product judgment, objective decision-making, and ability to prioritize organizational resources over personal or team output.

    Behavioral & LeadershipOnsiteBehavioralLeadershipProduct Judgment
  • OpenAIMediumSoftware Engineer
    AI Safety Views and Leadership-Principle Behavioral Questions

    A hiring-manager round asks for your view of AI safety and how it would shape your engineering work, followed by standard behavioral questions in the style of Amazon's leadership principles. It tests genuine motivation, judgment when safety and speed conflict, and structured, evidence-based storytelling.

    Behavioral & LeadershipOnsite
  • OpenAIMediumSoftware Engineer
    Behavioral: why OpenAI, AI safety views, 0-to-1 work, feedback, defining success

    Behavioral questions reported from OpenAI's software engineering loop: why OpenAI, how you think about AGI and AI safety, a 0-to-1 project, negative feedback you received, and how you defined success for a project. A slide-based project deep dive then probes technical depth under repeated challenge, testing ownership, calibrated judgment and composure.

    Behavioral & LeadershipOnsite
  • OpenAIEasySoftware Engineer
    Explain Why You Want This Company and Infrastructure Role

    This question assesses the candidate's ability to connect their personal career trajectory with the specific engineering challenges of scaling large-scale AI infrastructure, testing alignment, motivation, and self-awareness.

    Behavioral & LeadershipHR ScreenInfrastructureBehavioralCareer Strategy
  • OpenAIHardSoftware Engineer
    Explain Your Engineering Ownership

    This question evaluates engineering ownership, technical leadership, end-to-end system responsibility, trade-off reasoning, and incident diagnosis by asking about recent hands-on work, technology choices, an owned system, and a production failure and fix.

    Behavioral & LeadershipHR Screen
  • OpenAIMediumSoftware Engineer
    Explain Your Technical Focus and Responsible Use of AI

    Assesses a candidate's technical ownership, practical experience integrating AI systems or tools, and their ability to navigate reliability, safety, and ethical trade-offs.

    Behavioral & LeadershipHR ScreenBehavioralAI SafetyTechnical Ownership
  • OpenAIHardSoftware Engineer
    Explain your perspective on AI safety

    An OpenAI software engineer onsite behavioral question asking you to define AI safety in practical product terms, triage near-term versus long-term risks, and assess AI's effect on human work, the economy, and society. The answer must then connect those views to concrete engineering practice — threat modeling, guardrails, evals and red-teaming, phased rollout, and incident response. It also tests whether you can balance responsible deployment against shipping speed in both directions.

    Behavioral & LeadershipOnsite
  • OpenAIHardSoftware Engineer
    Hiring manager call: walk through your past work, interests and latest project

    A hiring manager asks you to describe what you have built, what you want to work on next, and the project you worked on most recently, then describes their own team. Tests whether you can tell a concise career story, separate your own contribution from the team's, and defend the technical decisions of a recent project in depth.

    Behavioral & LeadershipTechnical Screen
  • OpenAIHardSoftware Engineer
    How to answer common recruiter screen questions

    How to prepare for an OpenAI software-engineering recruiter / HR phone screen. Covers the full set of common screen questions — self-intro, work-setup and sponsorship logistics, employment history and departure narrative, promotion and leadership-vs-coding deep-dives, an ambiguity STAR story, search-timeline and 'why OpenAI', referral context, and compensation — with model answers, a STAR framework, and the mistakes that sink candidates.

    Behavioral & LeadershipHR Screen
  • OpenAIHardSoftware Engineer
    Lead Through Technical Difficulty and Project Conflict

    This question evaluates your ability to provide engineering leadership through severe technical uncertainty, resolve architectural or project disagreements constructively, and deliver measurable impact under high expectations.

    Behavioral & LeadershipHR ScreenLeadershipConflict ResolutionTrade-off Analysis
  • OpenAIMediumSoftware Engineer
    Project Deep Dive: Proving Technical Depth and Cross-Team Alignment

    A behavioral project deep-dive question in which you present a past project while the interviewer asks how you aligned with other functional teams and with engineers on your own team, and repeatedly presses on where the technical depth lies. It tests structured storytelling, clear ownership, evidence-backed decisions and composure under challenge.

    Behavioral & LeadershipOnsite