ML Systems Software Engineer - AI Acceleration

Amazon

Northern, New York (KY, NY)

Hybrid

USD 158,000 - 214,000

Full time

4 days ago
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Benefits offered by this job

Health insurance
RSUs
401(k) matching
Parental leave
Paid time off

Job summary

Amazon is seeking a Software Development Engineer for ML Systems within Annapurna Labs in New York. The role focuses on building scalable software for ML chips and AI acceleration, collaborating across silicon, hardware, and software teams to deliver performant systems.

Ideal candidates have 3+ years in software development, experience with Generative AI, and a strong background in systems design and scalable architectures.

Qualifications

  • 3+ years of professional software development experience.
  • 2+ years of design/architecture experience for systems.
  • Experience programming in at least one language.
  • 3+ years SDLC experience with coding standards and operations.
  • Bachelor's degree in computer science or equivalent.
  • Hands-on experience in Generative AI.
  • 1+ years ML or modeling experience for diverse hardware.

Responsibilities

  • Collaborate across teams to impact a global customer base.
  • Design, implement, test, deploy and maintain software to improve performance, durability, cost, and security.
  • Build high-quality, highly available products.
  • Research implementations for best customer experiences.
  • Contribute to design discussions, code reviews, and cross-functional collaboration.

Skills

Software development
Architecture design
Programming languages
Full SDLC
Generative AI

Education

Bachelor's degree in computer science

Job description

Amazon is seeking a Software Development Engineer for ML Systems within Annapurna Labs in New York. The role focuses on building scalable software for ML chips and AI acceleration, collaborating across silicon, hardware, and software teams to deliver performant systems.

Ideal candidates have 3+ years in software development, experience with Generative AI, and a strong background in systems design and scalable architectures.

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