FewerJobs.
All jobs

Neuron Collectives Software Engineer, Trainium Collectives

Amazon - Cupertino, California, USA

Posted Feb 16, 2026

Benefits

Parental leave
Not verified not verified - source not recorded; timestamp not recorded
Non-birth-parent leave
Not verified not verified - source not recorded; timestamp not recorded
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Not verified
Salary
Not verified not verified - source not recorded; timestamp not recorded
401(k) match
Not verified

Was this benefit information wrong? Tell us.

Market context

Median wage (BLS OEWS)
$111,944 national median
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

74% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type
Not verified
Weekend work
Not verified

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Neuron Collectives Software Engineer, Trainium Collectives Cupertino, California, USA 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

Read the full description at www.amazon.jobs. FewerJobs shows a source-linked preview and links to the original posting.

Apply at amazon.jobs

Apply link not verified; last-live date unavailable.

What verified means

Verified means a displayed claim has a recorded source field, a source URL when available, and a timestamp showing when FewerJobs checked or enriched the evidence.

Related jobs