Compensation: $180K - $300K

Location: North America preferred (Would consider South America if can work EST working hours)

We are a lean, high-velocity technical team building the infrastructure that powers the world’s most sophisticated AI models. Our core mission is to democratize access to high-quality public web data at a global scale. We support and power Grass, a massive distributed bandwidth-sharing network and crawler, while simultaneously managing pipelines that process billions of videos, transcripts, and audio files for frontier AI labs.

As an Embedded Systems Engineer, you will be a pivotal member of a small, elite team. This isn't just a firmware role; it’s a hybrid challenge where low-level systems meet high-scale backend architecture. You will lead the effort to architect scalable solutions, optimize networked device firmware, and drive technical excellence to ensure our distributed network remains the backbone of the open web data movement.

We are looking for a builder who thrives in a "no red tape" environment and possesses a deep understanding of how software interacts with hardware and networks.

• Education: BS or MS degree in a STEM major or equivalent professional experience.
• Experience: 4+ years of professional software development experience with a track record of writing robust, maintainable, and high-quality code.
• Systems Expertise: Proven experience building and scaling large distributed systems.
• Technical Deep-Dive: Direct experience in low-level programming, embedded systems, or firmware development specifically for networked devices.
• Operational Excellence: In-depth familiarity with modern SDLC practices, including CI/CD, and a proven ability to debug and resolve issues within intricate, live software environments.
• Language: Professional or native English language proficiency.
• Tech Stack Proficiency: Mastery of C and Go, with professional experience in JavaScript and firmware toolchains/embedded libraries.

• Full-Stack Development: Build new features and improvements across both backend API layers and device firmware.
• System Ownership: Test, deploy, and debug services that bridge the gap between application code and embedded systems.
• Code Craftsmanship: Write clear, documented, and extensively tested code for mobile, desktop, and server-side applications.
• Architectural Vision: Create and review technical designs and documentation to ensure our infrastructure can handle billions of data points.
• Collaborate: Work closely with a technical leadership team to expand our global knowledge graph and distributed crawler capabilities.

• At the Frontier: Work at the intersection of AI and decentralized infrastructure, building a platform that redistributes the value of AI to everyday people.
• High-Output Culture: Join a low-ego, high-talent team where your work has an immediate and massive impact.
• Remote Work: We are a remote-first organization, allowing you to work from wherever you are most productive.
• Compensation: We offer a highly competitive salary, a comprehensive benefits package, and an equity package so you can share in the company's long-term success.

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].

MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting [email protected].