New AI postings mentioning Embedded Systems per week — 138 total over 12 weeks.
240 active AI roles across 44 companies mention Embedded Systems. Category: Infrastructure & Systems.
Embedded Systems is a skill in the "Infrastructure & Systems" category. It currently appears in 240 active AI roles across 44 companies in our index.
The top employers with active AI roles mentioning Embedded Systems are: NVIDIA (42), Anduril (42), Amazon (38), Google (16), Skydio (11).
Over the last 12 weeks, 138 new AI postings mentioned Embedded Systems. Demand is rising — up 44% in the last four weeks compared to the earliest four weeks in the window.
Roles requiring Embedded Systems are concentrated in: agents (38%), serving infrastructure (33%), application (19%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.
Job postings that mention Embedded Systems most often also require: C++, Computer Architecture, Python, Robotics, Machine Learning.
8 AI roles requiring this skill.
| Company | Title | Sector | AI score | Stage |
|---|---|---|---|---|
| OpenAI | Software Engineer, Platform Systems | AI Frontier | 9 | L0 |
| Anthropic | Performance Engineer, GPU | AI Frontier | 9 | L3 |
| OpenAI | TLM, Embedded Experiences | AI Frontier | 8 | L6 |
| OpenAI | SOC Architect | AI Frontier | 8 | L3 |
| OpenAI | Software Engineer, Platform Systems | AI Frontier | 8 | L0 |
| OpenAI | Software Engineer, Kernel Performance & AI Tooling | AI Frontier | 7 | L3 |
| Physical Intelligence | Controls Engineer | AI Frontier | 7 | L6 |
| xAI | Physics Tutor | AI Frontier | 7 | L0 |