Arista Networks
Linux Kernel Software Engineer
Nashua, NH, United States
Sponsorship not specifiedDetected 15 days ago
PythonC++LinuxCustomer SupportElectrical EngineeringLeadershipProblem Solving
About the role
- We leverage the latest advancements in cloud computing, artificial intelligence, and software-defined networking to provide our clients with a competitive edge in an increasingly interconnected world.
- We believe that fostering an inclusive environment, where individuals from various backgrounds and experiences feel welcome, is essential for driving creativity and innovation.
Responsibilities
- Develop and maintain EOS Kernel features and tests using C, C++ and Python, review and contribute to functional and design specifications. Build automated tests and test infrastructure to validate the features.
- Significant hands-on experience troubleshooting issues, fixing bugs and developing features in the Linux kernel.
- Familiarity with Linux kernel architecture, design and implementation.
- Understanding of IP networking architecture, design and principles
- Strong software design and implementation skills.
- Ability to communicate articulately, and document your designs and implementations clearly, and concisely.
Requirements
- Expert knowledge of and extensive experience programming in C required.
- Knowledge of C++ and Python is desirable.
Skills
- Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments.
- What sets us apart is our relentless pursuit of innovation.
- Who You'll Work With
- Kernel software engineers are also responsible for the CPU subsystems on all Arista products.
Company info
- Work with Customer Support Engineers and customers to analyze, mitigate and fix problems in customer networks.
Equal opportunity
- Arista Networks is an equal opportunity employer.
- All your information will be kept confidential according to EEO guidelines.
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This listing is sourced directly from Arista Networks's careers page and normalized into a canonical job model.