Embedded Software Engineer, Annapurna ML Software

Description
Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago— even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.

In Annapurna Labs we are at the forefront of hardware/software co‑design not just in Amazon Web Services (AWS) but across the industry. Our Annapurna MLA Software team is looking for candidates interested in diving deep into the different hardware technologies that power our Machine Learning servers and develop the software and firmware to drive, support and sustain these technologies as they evolve through concept and manufacturing, and finally take their place in our rapidly expanding fleet of bleeding‑edge Machine Learning products our customers demand.

• Architect and develop mission‑critical software that powers Annapurna Labs’ next‑generation machine learning platforms
• Collaborate with EC2 teams and manufacturing partners to ensure seamless system integration
• Drive end‑to‑end qualification processes for new software implementations
• Craft high‑performance solutions using C/C++ running on Linux

This is hands‑on systems work—from initial hardware bring‑up through manufacturing scale‑up.

You’ll design and develop the software and firmware that drives Neuron Switches—the high‑performance interconnect fabric for Trainium chips. Day‑to‑day, you’ll work closely with EC2, Annapurna Labs teams and manufacturing teams to bring up new hardware, debug board‑level issues and optimize data paths. You’ll write device drivers, build ML infrastructure, implement switch fabric control logic and develop the tooling needed for testing, qualification, and production deployment.

The Annapurna ML Software team builds the software and firmware that powers Neuron Switches—AWS’ next‑generation switching infrastructure forming the high‑performance interconnect fabric for Trainium 3 chips. We focus on mission‑mode control of sensors, board‑level hardware, and the critical data paths that enable chip‑to‑chip communication  work spans device drivers, switched fabric and everything in between— from debug and testing through qualification and manufacturing.

We work at the hardware‑software boundary where silicon meets systems. While ML engineers optimize models and algorithms, we ensure the underlying infrastructure can move data at the speeds those workloads demand. If you’re excited about low‑level systems programming, hardware bring‑up, and building the foundation that makes next‑generation AI possible, this is the team for you.

• 3+ years of non‑internship professional software development experience
• 2+ years of non‑internship design or architecture (design patterns, reliability and scaling) of new and existing systems
• Experience programming with at least one software programming language

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor’s degree in computer science or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and…