The MAIA System Infrastructure team is pioneering the next generation of the developer ecosystem for AI accelerators and we are looking to hire a Senior Software Engineer - MAIA - AI Accelerator Observability and Infrastructure. We are building the core infrastructure that enables deep observability into our proprietary MAIA chips, empowering developers to fully harness the capabilities of our custom AI hardware. Our mission is to create a transparent, performant, and developer-centric ecosystem that surpasses traditional GPU observability by offering unparalleled insight into low-level operations, performance characteristics, and system-wide behavior.

We operate at the intersection of advanced AI hardware, system software, and developer tooling, continually pushing the boundaries of what is possible. Our scope extends beyond on-chip instrumentation; we also play a critical role in optimizing the end-to-end data flow infrastructure, including PCIe and frontend networks, to ensure low-latency, high-throughput movement between host systems and accelerators. By decomposing and re-architecting data pathways into state-of-the-art designs, we are unlocking new levels of scalability and performance for AI workloads. Our work involves close collaboration with hardware architects, systems engineers, and AI researchers to build a cohesive observability and runtime foundation that defines the next era of AI system design.

Why Join Us?

This is an opportunity to work on the cutting edge of AI hardware acceleration, directly contributing to the infrastructure that makes deep observability and optimization possible. As a Senior Software Engineer - MAIA - AI Accelerator Observability and Infrastructure on the MAIA System Infrastructure team, you will have the chance to work on challenging, high-impact projects that require a blend of low-level programming, data flow optimization, and system design.

You'll be part of a team of highly talented engineers who are passionate about building the next generation of AI tooling infrastructure, and you'll have the opportunity to make a significant impact on how AI workloads are understood and optimized.

This role is ideal for core engineers who are looking to make their mark in an innovative environment, where their contributions will directly influence the performance and capabilities of cutting-edge AI systems.