AI Training Systems Engineer - Collective Compute

Amazon Web Services (AWS)

Cupertino (CA)

On-site

USD 130,000 - 170,000

Full time

12 days ago

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Benefits offered by this job

Sign-on payments
RSUs
Health insurance
Medical insurance
Dental insurance
Vision insurance
Prescription insurance
Life & AD&D insurance
EAP
Mental health support
FSA
401(k) matching
Paid time off
Parental leave

Job summary

Amazon Web Services (AWS) is seeking software engineers to develop and optimize collective communication algorithms and low-level device drivers that scale AI compute across data centers. You will collaborate with hardware teams to co-optimize software and Trainium silicon for maximum performance in LLM training.

Requirements include at least 3 years of professional software development experience and 2 years in system design or architecture.

Qualifications

  • Requires at least 3 years of professional software development experience and 2 years in system design or architecture.
  • A bachelor's degree in computer science or equivalent is preferred.

Responsibilities

  • Develop and optimize collective communication algorithms and low-level device drivers for scalable AI compute across data centers.
  • Collaborate with hardware teams to co-optimize software for Trainium silicon in LLM training.

Skills

C++
C
Collective communication
Device drivers
Distributed systems
AI training hardware
Algorithm optimization
System architecture
Performance tuning
SDLC
Code review
Source control
Build processes
Testing
Operations
Low level programming

Education

Bachelor's degree in Computer Science or equivalent

Tools

Git
Build systems
Testing frameworks
CI/CD

Job description

Amazon Web Services (AWS) is seeking software engineers to develop and optimize collective communication algorithms and low-level device drivers that scale AI compute across data centers. You will collaborate with hardware teams to co-optimize software and Trainium silicon for maximum performance in LLM training.

Requirements include at least 3 years of professional software development experience and 2 years in system design or architecture.

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