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.
414 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 is a course that covers both Silicon Valley internship applications and open source portfolio development all at once.
✅ No major required, take classes online in Korea
✅ Upon final mission submission, exemption from document screening for US Palo Alto AI startup internship + interview opportunity provided
✅ Actual PR contributions to a Rust-based AI coding agent that has achieved 3.4K cumulative downloads
"Developers with or without CS degrees, job seekers, and juniors
A course that teaches you to create designs so you can handle system design in domestic developer interviews at Silicon Valley system design level
If you take this course, I plan to proceed as follows to provide you with an internship opportunity at the AI coding agent startup I'm operating in Silicon Valley, USA.
✅ The course price is scheduled to increase again in 2026.
Supported link: https://snailer.ai/careers
Please leave the name of the account that took Inflearn courses in free format in the resume header or the cover letter input field of the application link.
Internship Location/Period
Silicon Valley, Palo Alto, CA, USA, 6 months full-time
Recruitment Period
2026 Second Half, 1st Cohort (Maximum 2-3 people selected)
Eligibility Requirements
Regardless of major/non-major,
Final System Design Project Submission
Students who completed Open Source Contribution Mission Submission
Admission Benefits
Unlike general applicants, skip the document screening process 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
→ Will be featured on my Threads channel
→ Remain as an official reference you can include on your LinkedIn / resume.
Visa & Others
For selected candidates only, US intern J1 visa sponsorship support
This track "provides internship application opportunities exclusively for students", and
final selection is determined based on interview evaluations.
Interview Process
Documents (exempted for students)
Coding Interview Technical Phone Screen
Coding Interview 40 minutes
Final Interview Final Interview
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. Big Tech 30 Real-world System Design Implementation Experience
- Netflix·Tesla FSD·Meta·Spotify·CI/CD Pipeline, etc.
- Practice distributed systems, DB, cache, MQ, failure recovery, and scaling at actual interview level
2. My own service architecture → DB → Full design including scaling
- SLO quantification → requirements definition → architecture → data model → scaling plan
- Final project templates are provided so you can include them in your portfolio/resume
3. Contributing PR to an actual open-source AI coding agent in operation
Download Rust-based CLI agent (Snailer) to
Send at least 1 or more PRs, and
First PR merge grants Collaborator privileges + gain practical OSS experience for your resume
Silicon Valley Interview Released
I conducted an interview at Stanford with the author of the AI newsletter 'Nunoji' who is from JoCoding background. It covers how I'm applying the system design from this course to the startup I'm directly operating 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 Story of Growing from Junior to Senior in Just One Year https://eopla.net/magazines/35688
Thread
[[STRONG_1]]실리콘밸리 빅테크의 시스템 설계 비밀.[[/STRONG_1]] 테슬라 FSD·넷플릭스 스트리밍·메타 인프라를 사례로 [[STRONG_2]]분산시스템,DB, 스케일링·인터뷰 대비[[/STRONG_2]]를 실무형으로 학습합니다.[[BR]]마지막에는 [[STRONG_3]]자신만의 서비스[[/STRONG_3]]를 직접 설계하여 [[STRONG_4]]SLO 수치화→아키텍처→데이터 모델→스케일링[[/STRONG_4]]까지 완성합니다.[[BR]]우수 작품은 [[STRONG_5]]Thread(3.3K+)/Substack(300+)[[/STRONG_5]]에 레퍼런스로 소개되어 포트폴리오/이력서에 강력한 증거가 됩니다. 원하시면 [[STRONG_6]]LinkedIn/이력서 링크[[/STRONG_6]] 함께 노출 → [[STRONG_7]]채용 담당자에게 직접 증거[[/STRONG_7]]가 됩니다
Through interview experiences with various American big tech companies like Apple, Meta, Tesla, and Snapchat, I deeply realized that America is a collective that handles terabytes of data at global companies while always thinking about users. As a result, the barriers have become higher for American global companies to evaluate resumes from thousands or tens of thousands of candidates, and algorithm and system design capabilities have become important.
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.
Through small group education with various big tech engineers from Apple, Google, Netflix, Meta, OpenAI, and others, along with pair programming and discussion-based classes with talented individuals educated in various countries including the US, India, and China, I received training in curricula such as system design, algorithms, frontend, DB design, OOD design, and more. Based on my experience interviewing with Apple, Tesla, Meta, and others, I created practical lectures based on real systems. By sharing this with you all, at a time when the US and China are engaged in an IT war over AI supremacy, the vision and purpose of this lecture is to use it as a stepping stone to help Korea, the US, and China stand side by side - not as engineers who simply take and use recipes, but to build the strength to understand the core essence and implement new things from an engineering perspective.
- Global Service Design
- Netflix, Tesla FSD, Spotify, CI/CD pipelines, etc.
Based on real-world cases, we deeply cover "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→monitoring) as an example
Explains the structure for deploying ML models to actual production.
- Large-scale Traffic Scaling & Disaster 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 Naver-Kakao-Line-Coupang-Baedal-Danggeun-Toss interview questions and interview strategies provided
Practical scenario-based system design and algorithm content provision
Developers & Students
Big Tech/Global and domestic companies job/career change preparation for developers/university students
Lead Developer & Architect
Lead/Architect who needs to design new services from scratch
I'm curious about the design process.
For those who want to prove their differentiated system design capabilities in interviews
- In interviews, you can define SLO numerically and explain the design by identifying failure/bottleneck points.
- 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 materials of contributions to open source AI coding agents with 3.4K+ cumulative downloads
You can include it on your resume and LinkedIn.
- If desired, I will introduce excellent designs as references on my Threads / Substack / community channels so they can be used in resume portfolios.
Design your own service from start to finish as the final course project.
Outstanding designs will be featured as official references.
(So you can add it to your resume or portfolio)
Upon agreement, to the Thread channel (3.3K+) and Substack (paid subscription newsletter 300+)
Introducing as a excellent design reference.
If desired, we also promote your LinkedIn/resume links together. (Including large corporation subscriber communities such as Kakao, CJ, etc.)
Update: Silicon Valley Practical Application & Open Source Track
- Current cumulative downloads: 3.4K - Currently operating a Rust-based CLI AI coding agent (Claude Code/Codex workflow) in production.
- We will make this agent available as a Public Repo so that students can make open source contributions.
- The Open Source Contribution Guide course has also been added.
Career Benefits
- Once your first PR is merged, Collaborator permissions (branch protection·PR required) will be granted → Resume/portfolio entry examples provided
- Secure demonstrable evidence (documents, diagrams, OSS contributions) that directly connects to employment/career transitions.
Please feel free to leave your questions in the 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
570
Learners
22
Reviews
26
Answers
4.2
Rating
4
Courses
2025.06 ~ 현재:
미국 실리콘밸리 AI Coding Agent 스타트업 창업 (ex. Claude Code, Codex)
스레드 3.3K 시스템 디자인, 실리콘밸리, 테크, AI 글 계정 운영중 (rich_I_2024)
2024.05 ~ 2025.05:
미국 실리콘밸리 AI 핀테크 스타트업, 소프트웨어 엔지니어
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
66 lectures ∙ (26hr 26min)
Course Materials:
All
14 reviews
4.5
14 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 4
∙
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 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 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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