Posted May 20, 2026
In Annapurna Labs we are at the forefront of hardware/software accelerator solutions for not only Amazon Web Services (AWS), but across the industry. The Machine Learning Acceleration Systems Firmware team is looking for candidates interested in diving deep into our designs of Machine Learning servers and developing world class firmware to support current and future generations of accelerator silicon. Our team designs and builds Annapurna's fleet of Accelerated Servers using Internally designed silicon. We solve systemic hardware issues and we build hardware and software systems to detect and mitigate future failure recurrences so that our our customers can experience the highest quality of service possible! In this role, you will lead an organization of software and firmware developers to build reliable server firmware deployed across millions of accelerators across EC2. You will build AI-driven software tooling that root causes failures and identifies causes of system failures—work that directly impacts how our customers leverage AWS Trainium for their machine learning workloads. Key job responsibilities
In this role, you will lead a team of software and firmware developers to design and develop server software at AWS scale. You'll collaborate with hardware developers and software engineers to design validation strategies that ensure reliability across our entire product line. Your days will include mentoring your team through complex technical challenges, establishing operational procedures that scale across products, and working cross-functionally to integrate design-for-excellence principles into our development process. You'll also participate in technical discussions that shape how we approach system design & validation, ensuring we're catching issues before they reach customers. This is a fast-paced, intellectually challenging position, and you’ll work with thought leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your product’s performance, quality and cost. Using data and key metrics, you will also drive and measure process improvements that enhance our operational effectiveness.
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