Neuron Collectives Software Engineer, Trainium Collectives

Amazon; Cupertino (CA); On-site; USD 165,000 - 224,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon’s Neuron Collectives team seeks a Software Developer to advance collective algorithms and topologies for AI training. You will optimize software-hardware co-design with Trainium silicon, verify bottlenecks using Neuron Explorer, and drive scalable collective operations across data centers.

You’ll collaborate with Annapurna Labs and infrastructure teams, building robust analysis frameworks and improving performance for large-scale ML workloads.

Qualifications

• 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.

Responsibilities

• 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 through low level device driver development.
• 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.

Skills

Software development

Architecture design

Programming languages

Education

Bachelor's degree in CS or equivalent

Tools

C/C++

Job description

As a Neuron Collectives Software Developer, you will:

• 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 through low level device driver development


• 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

The role offers opportunities to work on cutting-edge AI training hardware while contributing to one of Amazon's most critical initiatives.

A day in the life

Annapurna Labs, a crucial part of AWS, is responsible for developing hardware and software components for EC2 infrastructure. Our team focuses on building networking solutions that for Machine Learning (ML) and High-Performance Computing (HPC) workloads on AWS.

We have mixed discipline orgs, you’d be working side by side with infrastructure experts, hardware engineers, RTL engineers, scientists & architects. Our workforce spans the globe and is truly international, you’ll find yourself working side by side with individuals from numerous countries. We take mentorship seriously, you can both expect senior mentorship and will be expected to mentor new and junior engineers.

The pace is fast as we work on the latest advancements of AI/ML, but we take the time to bond as a team and enjoy the successes. We offer flexibility in working hours, and respect WLB as a core org tenet. The team enjoys working with numerous principal-level engineers and closely with directors, career growth opportunities are certainly available. This is a role where you will always be encouraged to keep learning, the AI/ML field is fast moving and constantly evolving.

About the team

Annapurna Labs, part of AWS, created Trainium as a purpose-built AI training chip to revolutionize machine learning at Amazon scale. The Neuron Collectives team owns the software stack that enables collective operations — the communication primitives that allow AI training to scale across thousands of chips in the data center. Our work is essential to training the frontier models that power AI today. We work closely with hardware teams to extract maximum performance from Trainium, ensuring that compute and interconnect bandwidth are fully utilized. Our team sits at the intersection of hardware, firmware, and distributed systems.

Basic Qualifications

• 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


• Experience programming with at least one software programming language

Preferred Qualifications

• 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 work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for 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. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually