Sr Software Development Engineer, Neuron Collectives, Annapurna Labs; AWS

Sr Software Development Engineer, Neuron Collectives, Annapurna Labs

Annapurna Labs is an integral part of AWS and develops hardware and software components that are critical building blocks for EC2 infrastructure. We specialize in designing software, systems and chips that optimize the AWS customer experience.

The AWS Neuron Collectives team is seeking a Software Engineer to optimize collective operations for AWS Trainium. Trainium is one of Amazon's highest priority initiatives, powering the frontier AI models being trained today.

Collectives are the critical operations that scale AI compute across the data center. You'll work in depth to optimize compute for the specific topologies used to train modern LLMs. Working closely with the hardware team, you'll push for maximum performance using C/C++, interfacing with DMA and firmware and investigating detailed topologies.

You'll analyze current collective algorithms using publicly accessible tools like Neuron Explorer and optimize these to fully utilize compute and bus bandwidth to scale across the data center. This is a unique opportunity to impact how AI training runs at AWS scale, while growing your technical breadth and depth.

• Enhance collective algorithms and topologies for optimal training performance.
• Use tools like Neuron Explorer to identify bottlenecks in compute and bus bandwidth utilization.
• Monitor and analyze processor, DMA, firmware, and workload metrics.
• Optimize collective operations to scale AI compute across the data center.
• Work closely with the hardware team to co‑optimize software and Trainium silicon.
• Develop and optimize C/C++ implementations of collective communication patterns.
• Investigate and implement improvements for specific training topologies used by modern LLMs.
• Build and maintain analysis frameworks and automation solutions.

• Bachelor's degree in computer science or equivalent.
• 5+ years of experience building complex software systems that have been successfully delivered to customers.
• 5+ years of experience contributing to the architecture and design (including design patterns, reliability, and scaling) of new and current systems.

• Master's degree in computer science or equivalent.
• Familiarity with collective communication algorithms (e.g., all-reduce, all-gather) or distributed training frameworks.

The base salary range for this position is USD  –  annually. The compensation package will include sign-on payments and restricted stock units (RSUs). Final compensation is determined based on experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance, optional Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, adoption and surrogacy reimbursement coverage, 401(k) matching, paid time off, and parental leave.

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