(Fall 2026) Annapurna Labs at AWS Internship (US) - Machine Learning Systems & Silicon Innovation

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$127K-$185K not verified - source not recorded; timestamp not recorded

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$57,704 U.S. median for this role

Projected growth (BLS Employment Projections)

+0.9% - Slower

170% above the BLS role benchmark for sales aggregate.

Matched to SOC 41-2031 - Sales aggregate by role bucket.

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

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

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About this role

(Fall 2026) Annapurna Labs at AWS Internship (US) - Machine Learning Systems & Silicon Innovation Cupertino, California, USA What if you could help build something that's never existed before? At Annapurna Labs, an Amazon company, we're not just participating in the AI revolution, we're accelerating it. We design custom silicon and revolutionary software systems that were considered impossible just yesterday, powering the world's most advanced AI infrastructure at AWS. From training the largest language models on Earth to developing breakthrough ML accelerator chips, we're inventing the future of cloud computing. We're seeking bold innovators and builders for our Fall 2026 internship program. At Annapurna Labs, you'll work on projects that directly impact millions of AWS customers worldwide, tackling real technical challenges that push the boundaries of what's possible in AI acceleration. Our program offers multiple technical tracks, matching your skills and interests with projects across our organization. Some of our technical placements include: - Framework Optimization (PyTorch, JAX) - Compiler Development & Optimization - Distributed Training Systems - Performance Engineering - ML Infrastructure Development - Firmware & Driver Development - Runtime Systems - Fleet Management & Automation - Hardware/Software Integration - Performance Analysis Tools - RTL Development for ML Accelerators - Hardware Architecture & Modeling - Physical Design & Power Optimization - Custom Circuit Design - Pre/Post Silicon Validation Your placement will be determined through our interview process, taking into account your technical background, interests, and the exciting projects we have in development. One application opens the door to all

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