1. M.S. Job Search and Resume Writing Workshop Min Zhong (modified from a Caltech Resume workshop by Niniane Wang) March 13, 2008

2. Applying Referrals: employee, faculty Have your contacts refer you for opportunities. Career Fairs: university, conferences, industry Research companies and opportunities prior to the fair and create your target list Bring hard copy resumes Have an introduction Job Boards: career center, monster.com, hotjobs.com

3. How to Prepare for Technical Interviews

4. Interviews: Key Take-aways 1.Do mock interviews.  Similar to testing out a concert hall for a violinist 2.Don’t try to game the system.  Don’t hijack the interview  Don’t try to change your personality  Don’t stress over little mistakes

5. Interview Preparation What to Expect 1. Starts with short introduction 2. “The Meat” / Assessment 3. Close with your questions

6. Engineering Skills Assessment  Language syntax, core libraries, idioms, performance issues  Algorithms and data structures  Analytical Skills  Sound design Interview Preparation

7. Tips / How to Prepare  Review the fundamentals  Review algorithms and data structures  Write code, especially if you are out of practice; focus on your strongest language - Practice on a white board or paper - No pseudo code – we want actual code - language doesn’t matter, the interviewer will ask you which language you prefer  Find and practice on sample questions on the internet  Know someone at Google? Ask them about their experience. Get referred and/or let your recruiter know who can provide a reference. Interview Preparation

8. The Interview We're interested in how you approach problem-solving. Think out loud. Ask questions. Our questions will be in-depth. We want to see how you think about complicated things. The right answer would be nice but it is not necessary - your thought process is more important. We will ask you to write code in the language of your choice.

9. Interview Preparation How to Prepare for an Interview in a Couple of Years...  Develop a solid Computer Science and Engineering foundation  Learn about programming languages: C, C++, Java, Perl, or Python.  Get experience outside of class: Computer Science clubs or societies, coding / programming competitions, internships, Open Source projects (Google Summer of Code)

10. Q&A