🚀 Amazon AWS Internship 2026 (USA) – ML Systems & Silicon Innovation
The Amazon AWS Internship US 2026 is a high-end engineering internship focused on machine learning systems, AI infrastructure, and custom silicon design. Interns work on cutting-edge technologies powering AWS cloud and large-scale AI systems.
📊 Internship Overview
| Category | Details |
|---|---|
| Company | Amazon (AWS – Annapurna Labs) |
| Role | ML Systems & Silicon Innovation Intern |
| Job Type | Internship |
| Duration | Up to 12 Weeks |
| Location | USA (Austin, Seattle, Cupertino) |
| Mode | Onsite / Hybrid |
| Stipend | $110K–$185K (annualized) 💰 |
| Eligible Courses | BS / MS / PhD |
| Streams | CS, EE, Computer Engineering |
| Experience | Students |
👉 Interns work on AI chips, ML systems, and cloud infrastructure.
📌 Key Roles & Responsibilities
| Area | Description |
|---|---|
| ML Systems | Optimize ML frameworks (PyTorch, JAX) |
| Compiler Development | Improve the performance of ML models |
| Distributed Systems | Build scalable training systems |
| Hardware Design | Work on AI accelerator chips |
| Performance Engineering | Analyze and optimize systems |
👉 Work includes hardware + software integration for AI systems.
🎓 Education Requirements
| Type | Details |
|---|---|
| Qualification | BS / MS / PhD |
| Field | CS, EE, Computer Engineering |
| Status | Enrolled students |
| Requirement | Must return to studies after internship |
👉 Candidates need a strong technical background in systems or ML.
💻 Required Skills & Expertise
| Skill Area | Description |
|---|---|
| Programming | C, C++, Python |
| ML Frameworks | PyTorch, TensorFlow, JAX |
| Systems | Distributed computing |
| Hardware | RTL, FPGA, chip design |
| Performance | Optimization skills |
👉 Must have experience in 2+ areas like ML, systems, or hardware.
⭐ Preferred Skills
| Skill Area | Description |
|---|---|
| Research | Publications or projects |
| Open Source | Contributions |
| Architecture | Computer systems knowledge |
| Parallel Computing | High-performance systems |
🛠️ Internship Domains
| Field |
|---|
| Machine Learning Systems |
| Cloud Computing |
| Compiler Engineering |
| Silicon Design |
| AI Infrastructure |
👉 Interns can work across multiple technical tracks based on skills.
📅 Duration & Timeline
| Category | Details |
|---|---|
| Duration | Up to 12 Weeks |
| Start Time | Fall 2026 |
| Work Hours | 40 hours/week |
💰 Stipend & Benefits
| Category | Details |
|---|---|
| Salary | $110K–$185K (annualized) 💰 |
| Benefits | Mentorship, networking |
| Exposure | Work on AWS AI infrastructure |
| Career Growth | PPO opportunities |
👉 One of the highest-paying tech internships globally.
📝 Selection Process
| Step | Process |
|---|---|
| 1 | Online Application |
| 2 | Resume Screening |
| 3 | Technical Interviews |
| 4 | Final Selection |
💡 Final Thoughts
The Amazon AWS Internship 2026 (Annapurna Labs) is a top-tier opportunity for students in AI, systems, and hardware engineering. With high pay, cutting-edge projects, and global exposure, it’s ideal for building a strong career in advanced technology.
Apply Online |
Click here |
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Official Notification |
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About CompanyAmazon Web Services (AWS) is the cloud computing division of Amazon and a global leader in cloud infrastructure. Annapurna Labs, a part of AWS, focuses on designing custom silicon chips and advanced systems that power AI workloads and cloud services. The team works on innovations like ML accelerator chips and distributed systems, enabling faster and more efficient AI processing. AWS serves millions of customers worldwide and continues to lead in cloud computing, AI, and large-scale infrastructure. |
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| About the Author: –
Founder, AlexaHire | Career & Internship Researcher Sonu Rajput is the founder of AlexaHire, a career-focused platform helping students and freshers discover verified internships, job openings, and skill-building opportunities across India. With a strong interest in employment trends, virtual internships, fresher jobs, and skill development, Sonu researches and publishes practical content that bridges the gap between academic learning and real-world industry requirements. His work focuses on:
Sonu believes in sharing clear, updated, and trustworthy information to help learners make informed career decisions. |
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