Overview
News
Technologies
Salaries
Products
People
Growth
Jobs
Financials

Overview

Magic is a San Francisco research company founded in 2022 that trains frontier models for software engineering. It focuses on extremely long context windows so a model can hold entire codebases and their history in working memory while making changes. The company raised large rounds from investors including Alphabet's CapitalG and Nat Friedman and builds its own training infrastructure.

News

Pro access
Upgrade to see all 24 mentions
Upgrade to a paid plan to read every media mention of this company - funding news, awards, product launches and press releases from all the outlets writing about it.
Every media mention and press release
Funding news, awards and product launches
Fresh coverage from every outlet writing about the company
Upgrade now
Cancel anytime. Secure checkout. Instant activation.

Technologies

Sign in to see how your skills match this stack
Sign In
Tech DNA
Python
C++
Go
Triton
AWS
Azure
GCP
LLM
AI/ML
Python
C++
Pre-training
Post-training
CI/CD
AWS
Azure
GCP
Kubernetes
Terraform
LLM
Triton
NCCL
TPU
LLM Guardrails
Other
Go
Rust
Kotlin
TypeScript
Least Privilege
MITRE ATT&CK
ETL/ELT
Google Workspace
Slack
Stack modernity Modern AI adopter
71/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Pre-training 8 jobs Required
$550k +47% vs market
Post-training 3 jobs Required
$550k +83% vs market
Python 2 jobs Required
$450k +150% vs market
Go 1 job Required
$550k +175% vs market
Rust 1 job Required
$550k +139% vs market
Kotlin 1 job Required
$550k +289% vs market
TypeScript 1 job Required
$550k +206% vs market
C++ 1 job Required
$550k +175% vs market
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
20%
CI/CD
15%
AWS
15%
Kubernetes
14%
TypeScript
13%
LLM
13%
Share of companies in the same industry that use each technology.
Stack changes
LLM Guardrails Aug 2026
TPU Aug 2026
NCCL Aug 2026
ETL/ELT Aug 2026
Pre-training Aug 2026
Post-training Aug 2026
Triton Aug 2026
Terraform Aug 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.

Salary insights

Compensation ranges based on this company's open jobs
Median
$550k
Typical range
$350k – $550k
Open positions
8
7 Jobs
Staff 85.7%
Architect 14.3%
Level Jobs Median Typical range
Staff 6 $550k $550k
Architect 1 $350k $350k
Highest paying role Member of Technical Staff, Kernels $550k
Normalized to USD per year

Growth

Hiring Momentum
58/100
Growing
Open positions
8
0 opened / 0 closed in 30 days
ATS activity
Every ~2 days
08/30/2026
Hiring Dynamics +100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Security
50%
Executive
50%
Activity Timeline
Added LLM Guardrails to stack Aug 2026
Added TPU to stack Aug 2026
Added NCCL to stack Aug 2026
Added ETL/ELT to stack Aug 2026
Added Pre-training to stack Aug 2026
Added Post-training to stack Aug 2026
Added Triton to stack Aug 2026
Added Terraform to stack Aug 2026
Added Kubernetes to stack Aug 2026
Added GCP to stack Aug 2026
Added Azure to stack Aug 2026
Added AWS to stack Aug 2026

Jobs

Head of IT

14 days ago
$200k – $350k per year • In office • Full-Time • San Francisco
Python
Pre-training
Cybersecurity
Least Privilege
Management
Google Workspace
Slack
Apply
$225k – $550k per year • In office • Full-Time • San Francisco
C++
Go
Kotlin
Python
Rust
TypeScript
LLM
LLM Guardrails
Pre-training
DevOps
CI/CD
Cybersecurity
MITRE ATT&CK
Apply
$225k – $550k per year • In office • Full-Time • San Francisco
Pre-training
Apply
$225k – $550k per year • In office • Full-Time • San Francisco
Post-training
Pre-training
Apply
$200k – $550k per year • In office • Full-Time • San Francisco
Post-training
Pre-training
Apply
$200k – $550k per year • In office • Full-Time • San Francisco
Pre-training
DevOps
AWS
Azure
GCP
Kubernetes
Terraform
Apply

Research Engineer

2 years ago
$225k – $550k per year • In office • Full-Time • San Francisco
Post-training
Pre-training
Analytics
ETL/ELT
Apply
$225k – $550k per year • In office • Full-Time • San Francisco
Triton
NCCL
Pre-training
TPU
Apply