Who We Are:

We build infrastructure that delivers massive amounts of web data to the companies training the world’s most powerful AI models.

We're the team that helps to power and support Grass, a bandwidth-sharing network that lets us operate a massive distributed crawler, giving us unique access to high-quality public web data at global scale. On top of that, we’ve built pipelines for ingesting, segmenting, and annotating billions of videos, transcripts, and audio files, powering dataset creation for frontier labs.

We’re lean, technical, and move fast. No red tape, no slow decision-making; just a team of builders pushing to expand what’s possible for open web data and AI.

The Role.

We are looking for a Embedded Systems Engineer who is experienced and brings deep expertise in backend and firmware development. You will join a small, talented team and lead efforts to architect scalable solutions, build and optimize low-level systems, drive technical excellence, and support our vision for a future where Grass plays a critical role in shaping the internet's evolution.

Who You Are.

• BS or MS degree in a STEM major or equivalent job experience required

• 4+ years experience in software development and writing very high quality code that is robust and easy to maintain

• Knowledge on how to build large scalable systems

• Experience with low-level programming, embedded systems, or firmware development for networked devices

• Knowledge and experience in identifying and solving issues with intricate, live software systems, as well as in-depth familiarity with contemporary software development processes such as continuous integration and continuous deployment

• Professional or native English language proficiency

What You'll Be Doing.

• Develop new features and software improvements across backend and firmware layers

• Test, deploy and debug backend API and firmware services

• Write clear, tested, documented code for both application and embedded systems

• Create and review technical design, code, and documentation

• Contribute to Wynd’s infrastructure which includes mobile, desktop, embedded, and server-side applications

Technologies Used.

C, Go, Javascript, firmware toolchains and embedded systems libraries

Why Work With Us:

• Opportunity. We are at at the forefront of developing a web-scale crawler and knowledge graph that allows ordinary people to participate in the process, and share in the benefits of AI development.

• Culture. We’re a lean team working together to achieve a very ambitious goal of improving access to public web data and distributing the value of AI to the people. We prioritize low ego and high output.

• Work Remotely

• Compensation. You’ll receive a competitive salary, benefits and equity package.