
Explore the software engineering interview process, from phone to onsite, with real examples and a vowel-reversal in-place algorithm to illustrate problem solving and memory use.
Uncover why great candidates get rejected in interviews and master the process through mock interviews, familiarization with the interview environment, speaking aloud while coding, and asking questions when stuck.
Explore the full software engineer interview process, from phone and onsite interviews to evaluation criteria, interviewers, and common questions, plus tips for internships, PhD topics, and design problems.
Understand the end-to-end software engineer interview process, from resume screening and internal references to phone and onsite interviews, through committees that decide offers.
Master the phone interview for software roles, including 45-minute sessions with 1–3 questions and a brief intro. Prepare a distraction-free setup with a shared document for clear voice communication.
Learn how to excel in onsite software engineer interviews, including pre-interview introductions, optional presentations for experienced candidates, a 45-minute technical assessment with 1–3 questions, and final feedback from top management.
Prepare for PhD research discussions by articulating chosen algorithms, defending why GPU over CPU, and showcasing leadership and clear communication through open-ended Q&A.
navigate the intern hiring process from resume screening to team match and conversion, emphasizing host feedback, practical interviews, and building strong professional relationships.
Assess the evaluation scale used in phone, onsite, and internal conversion interviews, including superb, strong, weak hire, reject, poor, and no decision. Explore coding, analytical, communication, and work behavior criteria.
Software engineers are the interviewers for software engineering interviews, and product managers may interview for product roles. They review questions, resumes, and provide detailed feedback to assess fit and collaboration.
This lecture shows that software engineer interviews favor candidates with strong coding skills, language mastery, algorithm and data-structure know-how, analytical ability, and clear communication, plus listening and problem clarifying.
Prepare for interviews by eating enough, staying hydrated, and researching the company's products, customers, and tech blogs like TechCrunch; keep talking, ask questions, and show collaboration for additional rounds.
Learn what to avoid before, during, and after interviews—arrive early at the right building, be ready for phone interviews, don't interrupt, avoid sensitive questions, and never share questions under NDA.
Debunk myths about software engineering hiring, showing degrees and school names aren’t decisive, emphasize one strong language, learning ability, and visa considerations in the interview process.
Identify irrelevant interview questions by category: what interviewees should not ask and what interviewers should not ask, including salary, confidentiality, and legality.
Build and maintain a powerful reference network to accelerate interviews through internal referrals, leveraging workplace referees, internships, and ongoing communication.
Craft a concise, truthful resume that grabs a recruiter's attention in the top half-page by highlighting quantified achievements and including essential links to your work.
Prepare for the phone interview by solving two coding questions in a text editor, copy and compile for syntax checks, and practice a mock interview in a quiet, wired setup.
Prepare for onsite interviews by practicing algorithms, coding, data structures, and communication, research the company, arrange mock interviews, and plan attire and early arrival to project readiness.
Navigate the team match interview stage to find the right team by interviewing managers, evaluating team size, roles, product phase, culture, and work hours.
Learn to leverage the interview moment by asking informed, passionate questions about the company. Research recent news about their products and services, and prepare questions that show user-focused insight.
Explore core algorithms and data structures for software engineer interviews, with a high-level overview of sorting, graphs, trees, hashing, big o notation, memory and time complexity, and a reference book.
Learn to approach daunting technical questions in interviews by starting with trivial cases, using brute force, and deriving efficient Fibonacci and moving-average algorithms with window size k.
Learn to write clean, readable code with consistent naming, spacing, and comments, study proper initialization and formatting, and compare Google coding style guides for C++, Java, and Python.
Explore binary trees and binary search trees, including structure, left and right children, and the root node. Cover in-order, preorder, and postorder traversal, and serialization and deserialization of trees.
Master string manipulation with string matching and string search, from naive substring checks to Rabin-karp hashing and two-index methods for longest substrings.
Learn dynamic programming as an algorithm that solves problems by solving subproblems and leveraging memoization, with examples like longest increasing subsequences, fibonacci numbers, and lowest cost paths.
Explore concurrency, parallelism, and multithreading, and learn how mutexes and semaphores manage shared resources while avoiding busy waiting.
Learn to tackle design questions for large-scale systems by defining scope, building end-to-end scenarios, and balancing efficiency, reliability, portability, extensibility, performance, and scalability.
Learn to avoid frequent coding mistakes in interviews, including bounds checks, null pointers, pass-by-reference, proper initialization, correct equality checks for floats, and attention to numerical stability.
Watch a phone interview example solving two algorithms: rotational symmetry of a numeric string using a mapping, and counting islands in 0/x matrix with top down left right not diagonals.
Learn to count islands in a matrix using a depth first search, marking visited points, checking neighbors, and using edges to identify connected masses.
Observe an onsite software engineer interview, including in-place vowel reversal with a two-pointer method in C++, and explore related string and library vowel problems.
Explore practical on-site interview strategy with example questions on string and file processing, including vowel reversal, hashing, xor tricks, and performance-focused communication.
Explore an onsite interview example covering presenting internship work, solving a string insertion with hash maps, and a 2d camera angle problem to maximize visible points.
Analyze an onsite interview scenario that updates left bound and right bound to maximize the number of points within the field of view, with epsilon comparisons.
Encourage sharing interview results on the Q&A board and emphasize practice as the route to more job offers.
Are you a software engineer? And do you want to get a job at great software engineering companies like Google, Meta, OpenAI, or NVidia? If yes, you are at the right place!
Getting a job offer from those companies is very challenging but not something you cannot get. You have already spent hundreds of thousands of dollars for your study and degrees, and I believe you are almost ready to get job offers. However, there are several missing pieces that you need to learn throughout this course.
Getting a job offer means so many things:
Your income would increase by a large amount, in some cases even more hundred thousand dollars.
Better chance for your career development.
You can work with great people.
In this course, you will learn:
Overall interview processes for internship position, full-time SWE, PhD candidates, and experienced SWEs.
How to start your interview process.
How to well prepare those technical interviews.
Watch actual examples of phone and onsite interviews and see how they are evaluated.
Requirements
Some coding skills, but not much.
Great if you understand hash map and binary search tree, but not required.
Desire to work as a software engineer.
What to learn in this course
Overall interview process
Who they want to hire
How they interview candidates
Good/poor signals
Interview questions
How to prepare phone/onsite interviews
Examples.
Target Audiences
College freshman/sophomore, looking for engineering practicum intern.
College junior/senior or MS/PhD, majoring CS or related eng/science degree, looking for engineering intern.
New college grad majoring engineering, looking for a fulltime position.
Experienced software engineer/researcher, looking for a career advance.