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Jeff Bae

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:

Read more

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:

  1. Your income would increase by a large amount, in some cases even more hundred thousand dollars.

  2. Better chance for your career development.

  3. You can work with great people.

In this course, you will learn:

  1. Overall interview processes for internship position, full-time SWE, PhD candidates, and experienced SWEs.

  2. How to start your interview process.

  3. How to well prepare those technical interviews.

  4. 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.

Enroll now

What's inside

Learning objectives

  • Overall interview process
  • Who they want to hire
  • How they interview candidates
  • Good/poor signals
  • Interview questions
  • How to prepare phone/onsite interviews
  • Phone/onsite interview examples

Syllabus

Introduction
Why Many Candidates Got Rejected
Course Layout
Interview Process
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Covers interview processes for various roles, including internships, full-time positions, PhD candidates, and experienced software engineers, making it broadly applicable
Includes actual examples of phone and onsite interviews, providing valuable insights into the evaluation process and expectations of top tech companies
Requires some coding skills and familiarity with data structures like hash maps and binary search trees, suggesting a focus on candidates with some technical foundation
Explores common coding mistakes and provides guidance on coding style, which is helpful for candidates looking to refine their technical skills
Discusses algorithms and data structures, including sorting, binary trees, and dynamic programming, which are fundamental concepts in software engineering interviews
Includes a section on multithreading and concurrency, indicating that the course delves into more advanced topics relevant for experienced engineers

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Reviews summary

Software engineer interview prep overview

According to learners, this course provides a positive overall experience for those preparing for software engineer interviews. Students particularly praised the comprehensive overview of the interview process and the inclusion of helpful interview examples. However, some reviewers noted that the technical depth might be insufficient for certain topics and suggested that some content could be slightly outdated given how quickly company processes change.
Includes helpful real-world interview examples.
"The real-world examples were invaluable. Helped me structure my prep."
"Seeing actual examples of phone and onsite interviews was very useful to understand the format."
"Appreciated the examples; they gave me insight into what to expect in a real interview setting."
Covers the entire interview process effectively.
"Excellent overview of the entire interview process. The real-world examples were invaluable. Helped me structure my prep."
"The structure is logical, covering everything from resume tips to onsite questions. Highly recommend for anyone serious about big tech interviews."
"I got a great framework for understanding how these companies interview and what they look for."
Some content may be slightly outdated.
"Some content felt a bit dated, especially around specific company processes which change rapidly."
"Could use updates to reflect current interview trends and question types."
"While the core principles are sound, some of the detailed examples or company-specific advice felt a little old."
May require supplemental study for technical depth.
"Some sections felt a bit high-level, and I needed to supplement the technical depth elsewhere, especially for coding problems."
"The technical sections weren't deep enough for someone without a strong algorithms background already."
"Didn't provide the level of detail I needed for practical coding problems or advanced data structures."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Software Engineer Interview Unleashed with these activities:
Review Data Structures and Algorithms
Strengthen your understanding of fundamental data structures and algorithms. This will provide a solid foundation for tackling technical interview questions.
Browse courses on Binary Search Tree
Show steps
  • Review common data structures like arrays, linked lists, trees, and graphs.
  • Practice implementing basic algorithms such as sorting and searching.
  • Solve practice problems on platforms like LeetCode or HackerRank.
Cracking the Coding Interview
Use this book to learn common interview questions and strategies. It will help you understand the types of questions asked and how to approach them effectively.
Show steps
  • Read the chapters relevant to data structures, algorithms, and system design.
  • Work through the practice problems and understand the solutions.
  • Review the behavioral interview questions and prepare your own answers.
System Design Interview – An insider's guide
Learn how to approach system design questions by studying real-world examples. This will help you develop a framework for designing scalable and reliable systems.
Show steps
  • Read the chapters on key system design concepts.
  • Study the examples of system design interview questions and solutions.
  • Practice designing systems for different scenarios.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Mock Interview with Peers
Practice your interview skills by conducting mock interviews with your peers. This will provide valuable feedback and help you identify areas for improvement.
Show steps
  • Find a peer who is also preparing for software engineering interviews.
  • Take turns interviewing each other, using common interview questions.
  • Provide constructive feedback to each other after each interview.
LeetCode Grind
Sharpen your coding skills by solving a variety of LeetCode problems. This will help you improve your problem-solving abilities and coding speed.
Show steps
  • Select a set of LeetCode problems based on difficulty and topic.
  • Attempt to solve each problem within a time limit.
  • Analyze your solutions and compare them to optimal solutions.
Create a Mock Interview Video
Simulate a real interview scenario by recording yourself answering common interview questions. This will help you identify areas for improvement in your communication and technical skills.
Show steps
  • Choose a set of interview questions to answer.
  • Record yourself answering the questions, focusing on clarity and conciseness.
  • Review the recording and identify areas where you can improve.
Build a Personal Portfolio Website
Showcase your skills and projects by creating a personal portfolio website. This will demonstrate your abilities to potential employers.
Show steps
  • Choose a platform or framework for building your website.
  • Design the layout and content of your website.
  • Implement the website and deploy it online.

Career center

Learners who complete Software Engineer Interview Unleashed will develop knowledge and skills that may be useful to these careers:
Software Engineer
A software engineer designs, develops, and maintains software systems. This course helps prepare you for the rigorous interview process that often governs whether you are hired as a software engineer. It provides insights into how top tech companies think about hiring, what they look for in a candidate, and how they evaluate candidates during interviews. The practice interviews and the study of interview examples, both phone and on-site, can help you demonstrate your skills to potential employers. This course may be useful for learning how to answer technical questions, coding challenges, and discuss your work effectively with an interviewer.
Algorithm Developer
An algorithm developer specializes in creating and refining algorithms for various applications. This course aligns well with the needs of an algorithm developer, with a focus on technical interviews and problem-solving. The course covers topics such as algorithm and data structure questions, coding style, and examples of interview performances, which will help an algorithm developer present their skills to potential employers. The course will be especially helpful when facing questions related to sorting algorithms, trees, and dynamic programming.
Backend Developer
A backend developer works on the server-side logic of applications, including databases, APIs, and system integration. For a backend developer, this course may be useful in preparing for the technical interviews at a top technology company. The course covers how to prepare for both phone and on-site interviews, technical questions, and how to approach coding challenges. The study of interview examples can help a backend developer better articulate their skills and experience to interviewers.
Machine Learning Engineer
A machine learning engineer develops and implements machine learning models and algorithms. A machine learning engineer will benefit from the focus this course has on interview preparation, particularly for roles at leading tech companies. The course's content around technical questions, coding style, and interview examples is extremely relevant. This course may provide valuable insights into the expectations of tech companies when hiring machine learning engineers and how to demonstrate skills effectively.
Data Scientist
A data scientist analyzes large datasets to extract meaningful insights, often using statistical techniques and machine learning. A data scientist seeking roles at top companies can benefit from the course's focus on technical interview preparation. The sections on technical questions, algorithms, and data structures are relevant to the kind of challenges that a data scientist might face in interviews. An understanding of the overall interview process will also be beneficial for aspiring data scientists.
DevOps Engineer
A DevOps engineer manages the software development and deployment pipeline, focusing on automation and efficiency. This course may be useful to a DevOps engineer because it offers insights into the overall interview process, including phone and on-site interviews, common technical and coding questions, and how to demonstrate your abilities effectively. For a DevOps engineer seeking roles at leading tech companies, this preparation and practice can be invaluable.
Data Engineer
A data engineer builds and maintains the infrastructure that allows data scientists and other users to access and analyze data. This course may be useful for a data engineer who is looking to improve their interview performance, especially at larger companies. This course focuses on the interview process, technical questions, and how performance is evaluated. The preparation for phone and on-site interviews may help a data engineer demonstrate their knowledge and problem-solving abilities.
Artificial Intelligence Specialist
An artificial intelligence specialist designs and develops AI systems. For an artificial intelligence specialist looking to advance their career, this course helps with navigating the technical interview processes common in leading tech firms. The course’s focus on technical questions, coding style, and interview examples are particularly relevant for an artificial intelligence specialist who is seeking roles at top companies and wants to perform well in job interviews. This may be useful to demonstrate technical proficiency during rigorous interviews.
Cloud Engineer
A cloud engineer designs, implements, and manages cloud computing systems. This course may be useful to a cloud engineer because of its focus on interview processes and technical questions that often arise during interviews at leading tech companies. The course provides insights into how to prepare for both phone and on-site interviews as well as how to tackle algorithmic and data structure problems that frequently appear in cloud engineering interviews. A cloud engineer will find that the examples greatly help with interview preparation.
Software Architect
A software architect designs the high-level structure of software systems. This role may find the course useful for transitioning to new companies or for improving technical interview skills. The course’s content around interview processes, technical questions, and evaluation criteria can be particularly helpful for software architects. It may guide those seeking to showcase their abilities during interviews at leading software engineering firms.
Research Scientist
A research scientist conducts research to advance knowledge in their field, often working in academic or industrial settings. This course may be useful for research scientists looking to transition into industry roles that require rigorous interviews. The course covers interview strategies, technical question preparation, and how to navigate various interview formats, such as phone and on-site interviews. For a research scientist aiming for roles in leading tech organizations, this training provides a strong foundation for understanding industry-specific interview requirements.
Frontend Developer
A frontend developer works on the user interface and experience aspects of a website or application. Although this course does not focus specifically on front-end development technologies, its teachings include interview preparation, technical questions, and examples of interview best practices, which can be applied to any field of software development. This course may be useful to a front end developer preparing for interviews at top tech companies, where coding and logic questions are common.
Embedded Systems Engineer
An embedded systems engineer designs and develops hardware and software for embedded computing systems. Though the course does not delve into the specific challenges of embedded systems, it may be useful for an embedded systems engineer looking to improve their interview performance at large technology companies. The focus on technical questions, algorithms, and coding style makes the course helpful in building a foundation for interview success. The interview examples will be useful to anyone interviewing for a technical role.
Technical Program Manager
A technical program manager oversees complex software development projects. A technical program manager seeking to transition into a new role may find that this course is helpful because it provides insights into the interview process at top technology companies. This includes understanding how companies evaluate candidates and what kinds of technical questions are commonly asked. The focus on interview preparation and strategy can be useful for transitioning into technical management.
Quantitative Analyst
A quantitative analyst develops and applies mathematical and statistical models to financial markets. This course may be helpful for a quantitative analyst who is looking to move to a company that requires rigorous technical interviews as part of their hiring process. The sections on algorithms, data structures, and dynamic programming can be useful in solving numerical problems during interviews. Interview preparation will also help a quantitative analyst improve their overall interview performance.

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Software Engineer Interview Unleashed.
Comprehensive guide to preparing for software engineering interviews. It covers a wide range of topics, including data structures, algorithms, and system design. It provides detailed explanations and numerous practice problems, making it an invaluable resource for anyone seeking a job at a top tech company. This book is commonly used by students and professionals alike.
Provides a structured approach to tackling system design interview questions. It covers key concepts and principles, along with real-world examples. It is particularly useful for experienced software engineers preparing for interviews at larger tech companies. This book adds more depth to the system design portion of the course.

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