Fall 2025, Winter 2026
Hardware Engineering intern
Flux
51-200 employees
AI-powered platform for PCB design
No salary listed
Remote in USA + 10 more
More locations: Remote in Canada | Remote in UK | Remote in India | Remote in Germany | Remote in United Arab Emirates | Remote in Ireland | Remote in Australia | Remote in Spain | Remote in Italy | Remote in France
- BS/MS degree in EE or Computer Eng or related work experience
- Prior work or intern experience with circuit design, PCB verification and/or testing is required
- Experience with any of the following PCB and/or EDA design tools: Altium, KiCAD, Eagle CAD, OrCAD, EasyEDA, or similar
- Self-starter with strong written and verbal communication skills
- Built something in Flux that you are proud to talk about with our team!
- Design new components, schematics, shields, and fully manufactured PCB designs in Flux!
- Build robust documentation and test new features around our Schematic and PCB editors, AI Copilot, and Simulator
- Interact with power users within our community to share knowledge, report bugs, and triage accordingly
- Contribute to conversations around product performance, functionality, and upcoming features
- Develop content, videos/Reels, or training materials to evangelize core features of Flux
Flux.ai provides a platform for designing and building printed circuit boards (PCBs) within the electronic design automation (EDA) market. The platform features an AI-powered assistant named Copilot, which helps users enhance their design process by offering guidance and support. Users can sign up for free and access basic features, while premium options are available through subscription plans. This freemium model allows engineers, designers, and electronics enthusiasts to efficiently create PCBs, making the design process more accessible compared to traditional methods. Flux.ai's goal is to streamline PCB design, making it easier for users to bring their electronic projects to life.
Company Size
51-200
Company Stage
Early VC
Total Funding
$12M
Headquarters
San Francisco, California
Founded
2019
Simplify's Take
What believers are saying
- Growing demand for AI-driven design solutions supports Flux's market position.
- Community-driven design templates foster collaboration and innovation on Flux's platform.
- Rising need for high-density PCBs aligns with Flux's Smart Vias feature.
What critics are saying
- Competition from AI-powered tools like GitHub Copilot may impact Flux's market share.
- AI-generated designs may have security vulnerabilities, posing risks to users.
- Rapid AI advancements require Flux to continuously innovate to maintain its edge.
What makes Flux unique
- Flux offers AI-powered Copilot for PCB design, enhancing efficiency and collaboration.
- Smart Vias and Smart Polygons simplify high-density PCB design, meeting miniaturization demands.
- Flux's freemium model attracts a broad user base, from hobbyists to professional engineers.
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Benefits
Remote Work Options
Growth & Insights and Company News
6 month growth
↓ -2%1 year growth
↓ -2%2 year growth
↑ 12%Flux Enterprise is excited to unveil its smart polygon system in Flux!
Ever since Flux Enterprise launched Copilot, its goal has been to create a truly collaborative design partner - one that goes beyond offering advice to actually executing on your behalf.
That's why Flux Enterprise is excited to announce Smart Vias in Flux!
by Max MaxfieldOver the past few months, I’ve waffled on (as is my wont) about various flavors (ooh, tasty) of generative artificial intelligence (GenAI). On the menu were items like GitHub Copilot, which generates code (throwing in errors and security vulnerabilities for free), and Metabob from Metabob (can you spell “Zen”), which looks at the code generated by GitHub Copilot and takes the bugs and security vulnerabilities out again (to understand recursion, you must first understand recursion).We’ve also discussed other GenAI-based Copilots, like SnapMagic, which can help design engineers pick parts, and Flux.ai, which can help them to design and layout their circuits.Another form of GenAI comes in the form of text-to-image models, such as Stable Diffusion, which can be used to generate detailed images conditioned on text descriptions. It can also be used for related tasks, such as inpainting (where damaged, deteriorated, or missing parts of an artwork are filled in to present a complete image), outpainting (extending an existing image beyond its original canvass), and image-to-image translations.The thing is, until now, we all pretty much took it for granted that GenAI models of this class, capacity, and caliber were destined to be run in the cloud. Can you imagine what it would be like to be able to run something like Stable Diffusion on a USB Drive that plugs into your notepad or laptop computer? I can. Actually, I don’t have to imagine this because I’ve seen it in action (I’ll show you a video later in this column).To be honest, I have a personal interest in being able to generate images from text descriptions. I’m currently writing a small book called The Life (of a Boy Called) Clive (It Rhymes with Five)
For months, Flux has been adding new features and functions to Copilot to help make it the most powerful AI for hardware design in the world.