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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
AI Theme Park Generator - Build Your Own Theme Park Magic Patterns
Create your own theme park in seconds. Describe the roller coasters, rides, attractions and scenery you want, and watch your park come to life.
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Report
Ubisoft forgot to make sure the Steam release of Heroes of Might & Magic 3 included the actual game
Oops.
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Report
GitHub programmer ports playable Doom to DSLR camera with 3-inch TFT LCD display - Canon EOS 550D with open-source Magic Lantern firmware uses camera
Can you finish the game before the camera runs out of power?
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Report
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Technologies
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
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
Member of Technical Staff, Security Engineer
25 days ago$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
Member of Technical Staff, Pre-training Systems
7 months ago$225k – $550k per year • In office • Full-Time • San Francisco
Pre-training
Apply
Member of Technical Staff, Inference & RL Systems
7 months ago$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
Member of Technical Staff, Kernels
2 years ago$225k – $550k per year • In office • Full-Time • San Francisco
Triton
NCCL
Pre-training
TPU
Apply

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