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Are you interested in making one of the best Wi Fi mesh routers? As part of eero’s mission to reinvent Wi Fi, you’ll be making a difference in the fabric of the modern home.
eero is now looking for a highly proficient, hands-on Software Development Engineer intern who can help to improve our mesh and client connectivity, design new features, and ensure that the end users have a great connectivity experience. You’ll be working with international teams on various topics. You’ll be able to learn and innovate in the Wi Fi world.
- Key job responsibilities
- Enhance the networking experiences for eero's whole home connectivity products
- Investigate customer issues from production with a focus on early field failure analysis
- Dive deep into embedded system internals
- Deliver rapid board bring up and prototyping of new platforms
- Work with core operating system, mobile and cloud teams to deliver features
#auta-twn
Basic Qualifications
- Speak, write, and read fluently in Mandarin
- Currently enrolled in pre-final year of Master or Bachelor Degree in Computer Science, Computer Engineering, Electrical Engineering, or related fields.
- Proficiency in the C or C++ programming language.
- Knowledge of Computer Science fundamentals such as algorithm design, data structures, problem solving, and complexity analysis.
Preferred Qualifications
- Good English listening and speaking skills.
- Experiences with Linux or other embedded systems is a plus.
- Proficiency in Python or Golang is a plus.
- Understanding in computer network and/or wireless network is a plus.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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Amazon
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Seattle
Headquarters
Reviews
2.9
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Work Life Balance
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Compensation
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Flexible scheduling options
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High stress and demanding work environment
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2 data points
L2
L3
L4
L5
L6
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Stock
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$75,831
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Difficulty
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/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
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1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
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Leadership Principles
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