Software Engineer - AI Training Collectives (Trainium)

Annapurna Labs; Cupertino (CA); Vor Ort; USD 165.000 - 224.000; Vollzeit

Benefits dieser Stelle

Sign-on payments / RSUs

Health insurance (medical, dental, etc

401(k) matching

Paid time off

Parental leave

Zusammenfassung

Annapurna Labs, part of AWS, seeks a Neuron Collectives Software Developer to optimize collective operations for Trainium and scale AI training across data centers. You will work with hardware to co-optimize software and silicon, implementing high-performance C/C++ communication patterns and analyzing bottlenecks.

You will explore and improve topologies used in training modern LLMs, using tools to maximize compute and bus bandwidth, and contribute to software that enables large-scale AI

Qualifikationen

• Experience building complex software systems delivered to customers.
• Experience in architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
• Bachelor's degree in computer science or equivalent.
• Experience in embedded development in C/C++ (last 3 years).

Aufgaben

• Enhance collective algorithms and topologies for optimal training performance
• Use tools 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

Kenntnisse

Software development

Architecture & design

Embedded C/C++

SDLC knowledge

Ausbildung

Bachelor's degree in computer science or equivalent

Jobbeschreibung

Annapurna Labs, part of AWS, seeks a Neuron Collectives Software Developer to optimize collective operations for Trainium and scale AI training across data centers. You will work with hardware to co-optimize software and silicon, implementing high-performance C/C++ communication patterns and analyzing bottlenecks.

You will explore and improve topologies used in training modern LLMs, using tools to maximize compute and bus bandwidth, and contribute to software that enables large-scale AI