MANGO Companies

The Elite Five

Meta, Apple, NVIDIA, Google, OpenAI — the most competitive and sought-after tech companies. Each with unique hiring philosophies and technical challenges.

What Makes MANGO Special?

These companies represent the pinnacle of tech innovation, each with distinct engineering cultures, hiring processes, and technical challenges that set them apart from the rest.

High Standards

Rigorous interview processes with emphasis on both technical excellence and cultural fit.

Unique Focus

Each company has distinct technical areas and engineering philosophies that shape their hiring.

Global Impact

Work on products and systems that impact billions of users worldwide.

MANGO Companies

Click on any company to explore their specific hiring process, interview focus, and practice resources.

Meta

Consumer-scale social platforms; emphasis on product sense and large-scale systems.

Focus Areas

distributed systems
product engineering
infra

Roles

SWE
BACKEND
FRONTEND
FULLSTACK
+4

Interview Focus

Coding: Patterns mastery (two-pointers, sliding window, graphs, DP)

System Design: APIs, data modeling, caching, queues, scaling

Apple

Hardware + software ecosystem; strong focus on craftsmanship and privacy.

Focus Areas

platform engineering
iOS
performance
+1 more

Roles

SWE
IOS
BACKEND
FRONTEND
+2

Interview Focus

Coding: Clarity, correctness, complexity analysis

System Design: Reliability, performance, privacy-by-design

NVIDIA

AI, GPUs, accelerated computing; systems + performance intensive.

Focus Areas

systems programming
parallelism
ML/AI

Roles

SWE
BACKEND
ML
DATA
+1

Google

Search, cloud, AI — large-scale distributed systems and research.

Focus Areas

search
ml
infra
+1 more

Roles

SWE
BACKEND
FRONTEND
FULLSTACK
+4

OpenAI

Frontier AI research & products; safety and reliability critical.

Focus Areas

large language models
safety
infra

Roles

SWE
BACKEND
ML
DATA
+1

Interview Insights

What to expect from each MANGO company's interview process

Meta

Process

1. Recruiter screen
2. Technical phone
3. Onsite: coding + SD + behavioral

Coding Focus

Patterns mastery (two-pointers, sliding window, graphs, DP)

System Design

APIs, data modeling, caching, queues, scaling

Apple

Process

1. Recruiter
2. Tech screens
3. Onsite interviews

Coding Focus

Clarity, correctness, complexity analysis

System Design

Reliability, performance, privacy-by-design

NVIDIA

Google

OpenAI

What We Know About Their Hiring

Honest insights about what each company values in their engineering candidates

Meta

Emphasis on coding speed + correctness

System design depth for mid/senior roles

Apple

Strong emphasis on communication and design quality

NVIDIA

Expect deep systems and performance questions

Google

Data structures & algorithms depth; structured SD interviews

OpenAI

High bar for engineering autonomy; systems + product thinking