$ cat jobs/senior-lead-software-engineer-network-systems-aristanetworks-a5ee499f6809.json
Senior/Lead Software Engineer, Network Systems
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. 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. Our solutions are designed to not only meet the current demands of the digital landscape but to also anticipate and adapt to future challenges. At Arista we value the diversity of thought and perspectives that each employee brings to the table. We believe that fostering an inclusive environment, where individuals from various backgrounds and experiences feel welcome, is essential for driving creativity and innovation. Our commitment to excellence has earned us several prestigious awards, such as Best Engineering Team, Best Company for Diversity, Compensation, and Work-Life Balance. At Arista, we take pride in our track record of success and strive to maintain the highest standards of quality and performance in everything we do. Who You'll Work With Arista Networks is looking for world-class Senior/Lead Network Systems software engineers. Network systems software is all about managing hardware components on switches and routers. As a senior/lead Network Systems engineer, you will collaborate and work with customers, product management and hardware engineers to design and build novel features that help Arista hardware run effectively and efficiently. You will write software that controls everything from temperature sensors, fan controllers, power controllers, storage devices to FPGAs, NICs and PCIE switches. You will design abstractions that allow this software to be easily packaged and integrated into hardware drivers that manage all our hardware. You will have the opportunity to design solutions to accelerate key functions using hardware and FPGAs to improve system performanc
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