Full-Time
Embedded Systems Engineering Intern
Summer 2026
Blackstar Computers
AI-native hardware and operating system
No salary listed
San Francisco, CA, USA
In Person
Full-time on-site internship in San Francisco for at least 10 weeks.
 Electrical Engineering (1) |
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- Currently pursuing a degree in computer engineering, electrical engineering, computer science, or a related field.
- Familiarity with C/C++ and microcontroller or embedded programming.
- Available to work full-time and in person in San Francisco for at least 10 weeks.
- Contribute firmware, drivers, and board support code to Blackstar's hardware platforms.
- Own a well-scoped project from design through implementation and review.
- Work directly with senior engineers on debugging across hardware, firmware, and software.
- Experience with RTOS environments, bare-metal programming, or embedded Linux.
- Personal projects, research, or coursework involving embedded systems.
Blackstar Computers builds an AI-native hardware and operating system to support continuous AI use. It aims to bridge human intention and machine understanding by rethinking the entire computing stack—from hardware design to software layers and interaction interfaces. The product concept centers on a computer that tightly integrates specialized AI hardware with an operating system built for AI workloads, enabling smoother, ongoing human–AI interaction rather than traditional software-first devices. Compared with typical PC makers or AI hardware firms, Blackstar differentiates itself by focusing on end-to-end integration and interaction layers at the OS and hardware levels, not just software or chips in isolation. The company’s goal is to rebuild the computing experience so that hardware, software, and user interfaces work together to improve how people communicate with AI.
Company Size
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Company Stage
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Total Funding
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Headquarters
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Founded
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Simplify's Take
What believers are saying
- $12 million seed funding supports prototyping and early hardware validation.
- Shenzhen-based execution can accelerate manufacturing and supply-chain development.
- Strong investor backing helps recruit talent and attract early adopters.
What critics are saying
- Apple, Microsoft, and Google can copy AI interaction layers quickly.
- Eight-person team and $12 million are thin for hardware and OS development.
- No public product yet leaves Blackstar vulnerable to skepticism and delays.
What makes Blackstar Computers unique
- Daniel Edrisian brings direct OpenAI Codex engineering experience.
- Blackstar is building an AI-native hardware and operating system stack.
- The company targets continuous AI use across hardware and interaction layers.
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