AI Era-Proof Silicon Valley Internship & 30 Big Tech System Design & Open Source Practical Contribution Complete Course Mission Submission All students can apply for a US Palo Alto local AI startup internship, with document screening exemption and interview opportunities provided, and this is a course where you design and scale 30 practical system designs using big tech cases like Netflix, Tesla, Meta, Tinder, etc. At the end, you design your own service from architecture → DB → scaling, contribute to an actually operating open source AI coding agent project (achieving 1.8k downloads per week), complete your portfolio, and finalize your resume.
417 learners
Backend
Database Design
OOD Design
System Design
AI Agent
Open Source
Design 30 systems including Netflix, Tesla, Meta, and Tinder yourself within 6 weeks,
This course covers everything from applying for Silicon Valley internships to building an open-source portfolio all at once.
✅ No major required, take classes online from Korea
✅ Upon final mission submission, receive document screening exemption + interview opportunity for an AI startup internship in Palo Alto, USA
✅ Contributed actual PRs to a Rust-based AI coding agent that has achieved 3.4K cumulative downloads
"Computer Science majors, non-majors, developers, job seekers, and juniors
"A course that teaches you to design systems at Silicon Valley system design level for Korean developer interviews"
If you take this course, I plan to proceed as follows to offer you an internship opportunity at my AI coding agent startup in Silicon Valley, USA.
✅ The course price is scheduled to increase again in 2026.
Application Link: https://snailer.ai/careers
Please leave the name of your Inflearn account in free format at the top of your resume or in the cover letter field of the application link.
Internship Location/Period
Silicon Valley, Palo Alto, CA, USA, 6 months full-time
Recruitment Period
2026 Second Half, Cohort 1 (Maximum 2-3 people selected)
Eligibility Requirements
Regardless of major or non-major,
Final System Design Project Submission
Students who completed Open Source Contribution Mission Submission
Admission Benefits
Unlike regular applicants, skip the document screening and proceed directly to the interview stage
The final system design project or open source mission does not affect hiring decisions and is a condition for skipping document screening.
Excellent design + OSS contribution results are
→ Featured on my Threads channel
→ Remain as an official reference you can add to your LinkedIn / resume.
Visa & Others
For selected candidates, US J1 intern visa sponsorship support
This track provides "exclusive internship application opportunities for students",
and final selection will be determined based on interview evaluations.
Interview Process
Documents (Waived for students)
Coding Interview Technical Phone Screen
Coding Interview 40 Minutes
# Final Interview --- This appears to be a title or heading that simply says "Final Interview" in both Korean (파이널 인터뷰) and English. If you have specific content you'd like me to translate or help with regarding a final interview, please feel free to share it and I'll be happy to
Cultural Fit Interview 30 minutes
System Design Interview 45 Minutes
Offer Decision
Salary and J1 visa process (if visa is difficult, US business trips and remote work)
Other Matters
1. 30 Real-World System Design Experiences from Big Tech
- Netflix · Tesla FSD · Meta · Spotify · CI/CD Pipeline, etc.
- Practice distributed systems, DB, cache, MQ, failure recovery, and scaling at actual interview level
2. Full design from my own service architecture → DB → scaling
- Quantifying SLO → Defining Requirements → Architecture → Data Model → Scaling Plan
- Final project templates provided for inclusion in portfolios/resumes
3. Contributing a PR to an Open-Source AI Coding Agent in Production
Download Rust-based CLI agent (Snailer) to
Submit at least 1 PR,
Upon first PR merge, gain Collaborator permissions + acquire practical OSS experience for your resume
Silicon Valley Interview Released
I conducted an interview at Stanford with the author of AI newsletter 'Nunoji', who is from JoCoding. The interview covers how I'm applying the system design from this course to the startup I'm currently running in Silicon Valley.
👉 Full EO Article Interview: The Secret of Irreplaceable People Learned in Silicon Valley (Developer Edition)
Surviving in Silicon Valley: A Developer's Journey from Junior to Senior in One Yearhttps://eopla.net/magazines/35688
Thread
Silicon Valley Big Tech's System Design Secrets. Learn distributed systems, DB, scaling & interview preparation in a practical way through case studies of Tesla FSD, Netflix streaming, and Meta infrastructure.
At the end, you'll design your own service and complete everything from SLO quantification → architecture → data model → scaling.
Outstanding projects will be featured as references on Thread(3.3K+)/Substack(300+), serving as powerful evidence for your portfolio/resume. If desired, your LinkedIn/resume link will be included → becoming direct proof to recruiters
Through interview experiences with various American big tech companies such as Apple, Meta, Tesla, and Snapchat, I deeply realized that these global companies in the United States are organizations that handle terabytes of data and always think about their users. As a result, the barriers have become higher for global American companies to evaluate resumes from thousands or even tens of thousands of applicants, and algorithm and system design capabilities have become crucial.
Additionally, those who are currently working on side projects alone will be able to proactively determine what kind of system design would make a good portfolio.
I've received training through small group education from engineers at various big tech companies like Apple, Google, Netflix, Meta, and OpenAI, and through pair programming and discussion-based classes with talented individuals educated in diverse countries including the US, India, and China. I learned curricula such as system design, algorithms, frontend, DB design, OOD design, and more. Based on my experience interviewing with companies like Apple, Tesla, and Meta, I created this hands-on course based on real systems. By sharing this with you, at a time when the US and China are engaged in an IT war over AI dominance, I hope this course serves as a stepping stone to help engineers from the US, China, and Korea alike become not just engineers who simply adopt recipes, but ones who understand the core essence and can implement new things. This is the vision and purpose of this course.
- Global Service Design
- Netflix, Tesla FSD, Spotify, CI/CD pipelines, etc.
Based on real-world cases, we deeply explore "how it was designed and what trade-offs were chosen."
- Database & Object-Oriented Design
- RDBMS vs NoSQL, sharding/indexing, cache strategies, OOD design principles
Practice with real-world examples.
- Machine Learning System Design (NEW)
- Using Tesla FSD-style pipeline (training→deployment→observation) as an example
I'll explain the structure for deploying ML models to actual production.
- Large-Scale Traffic Scaling & Failure Recovery Design
- LB, CDN, MQ, Redis/Cache, Blob(S3), WebSocket, Proxy, Telemetry, etc.
Structure it to a level that can be explained in an interview.
- Continuous Q&A / 1 year of additional learning materials support
- You can freely ask questions about system design even after completing the course
- FAANG and US/domestic company interview preparation scenario and algorithm content 1-year membership provided free
FAANG or US AI companies/ Domestic major tech companies interview questions and strategies provided
Providing practical scenario-based system design and algorithm content
Developers & Students
Big Tech/Global and domestic companies job seekers/career changers preparing developers/university students
Lead Developer & Architect
Lead/Architect who needs to design a new service from scratch
I'm curious about the design process.
For those who want to demonstrate differentiated system design capabilities in interviews
- In interviews, you can define SLOs numerically and explain your design while identifying failure points and bottlenecks.
- Based on more than 30 real-world system design examples, you can answer scalability and reliability design questions with trade-offs.
- You can document your own service from requirements → architecture → DB design → scaling plan and include it in your portfolio.
- Actual PR links/evidence of contributions to an open-source AI coding agent with 3.4K+ cumulative downloads
You can add it to your resume or LinkedIn.
- If desired, I will feature excellent designs as references on my Threads / Substack / community channels so they can be used in your resume portfolio.
Design your own service from start to finish as the final course project.
Outstanding designs will be featured as official references.
(You can add this to your resume or portfolio)
Upon consent, to Thread channel (3.3K+) and Substack (paid subscription newsletter 300+)
Introduced as an excellent design reference.
If desired, we also promote your LinkedIn/resume link. (Including subscribers from major companies like Kakao and CJ)
Update: Silicon Valley Practical Application & Open Source Track
- Currently 3.4K cumulative downloads - Operating a Rust-based CLI AI coding agent (Claude Code/Codex workflow) in production.
- We will make this agent publicly available as a Public Repo, allowing students to make open source contributions.
- An Open Source Contribution Guide course has also been added.
Career Benefits
- When your first PR is merged, you'll be granted Collaborator privileges (branch protection·PR required) → Resume/Portfolio examples provided
- Secure tangible evidence (documents, diagrams, OSS contributions) that directly connects to employment/career transitions.
Feel free to leave your questions in Q&A. Your designs could be cited as actual references!
Who is this course right for?
Those who want to join Silicon Valley Big Tech companies
Those who need new service design
Developers who want to achieve higher growth
Those who are preparing for job hunting or preparing for a career change
Need to know before starting?
Computer Science
577
Learners
24
Reviews
26
Answers
4.3
Rating
4
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2023.08 ~ 2024.04:
미국 빅테크(OpenAI, Meta, Apple, etc) 엔지니어 펠로우십 풀스택 소프트웨어 엔지니어 펠로우
~2022.10 @국내 기업 재직(검색포털/핀테크, AI)
All
67 lectures ∙ (26hr 51min)
Course Materials:
All
16 reviews
4.6
16 reviews
Reviews 4
∙
Average Rating 2.8
3
The subject of the lecture itself is very good, but on the contrary, the lecture as a whole feels very unrefined. The specific details are as follows: - The lecture lacks unity as it goes from the first to the last lecture. You will think, why didn't you do it this way before? - It is a raw lecture with no editing at all. There are quite a few places where the speaker stutters or says "uh" or where the audio is blank for more than 5 seconds. When the audio is blank, you check to see if the network is disconnected, which distracts you from concentrating. - In particular, in the Meta System Design section, there is a constant buzzing sound throughout the lecture, and the instructor's voice sounds a little distorted. At least the Meta section should be re-uploaded. - Also, as a minor point, you can sometimes hear Bluetooth connection sounds during the lecture.
Thank you for your feedback. First of all, I apologize for the inconvenience. We will reflect on this in the new update and provide the video again. Thank you again.
Reviews 41
∙
Average Rating 5.0
5
I listened to the lecture carefully. The technical content was explained in a friendly and easy-to-understand way, so it felt like a skilled senior was teaching me. Personally, I had a few regrets. First, the sound was too low and the sound quality was not good, so it was difficult to listen to the lecture. There was a lot of explanation about the API specifications, but I felt it was unnecessary for me. Instead, I wish there had been a more in-depth explanation of system design methodology and scaling. In such cases, what components can be considered, what are the advantages and disadvantages of each (although it was explained in Section 2), and what problems and improvements might arise during actual use. Despite this, it was a lecture that I learned a lot from. The instructor said that he would continue to update the lecture and lecture materials, and that he would improve the lecture quality by using a high-quality microphone in the future, so I look forward to it.
Hello, thank you for your review. We are currently waiting for a microphone with specifications such as noise cancellation to improve the quality of the lectures. 😭 We will update the quality of the lectures and the quality of the lectures by reflecting the contents you wrote in the review from mid-January. Thank you again. We will continue to work to create better quality lectures in the future.
Reviews 4
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Average Rating 5.0
5
It was great to learn how to design systems to solve complex problems through various corporate cases! It was fun to learn concepts with examples, and I could understand in which situations the concepts would be used. Visualizing the design with Excalidraw was also a great help in learning! Thank you for the great lecture.
Hello! Thank you for enjoying the lecture and leaving a good review. We will continue to strive to provide more useful lectures in the future.
Reviews 4
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Average Rating 3.8
4
The lecture content is really good, but... you say "uh" too much, so it's really distracting to listen to the lecture.
Thank you for your good feedback. I tried to fix it in the algorithm lecture. I plan to gradually update the lecture to a version without uh in the future. Thank you for taking the lecture, and I will repay you with a better lecture in the future.
Reviews 50
∙
Average Rating 5.0
5
This is the first time I've had a good design lecture in Korea. The content is really good. Please record the next lecture with the audio a little louder. I look forward to other good lectures. Be healthy and happy.
Thank you for taking the class. I will continue to strive to provide better lectures in the future :) I hope you always stay healthy and have a good day.
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