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Senior Principal Software Engineer - QEMU/KVM Devops
The Software Engineering team delivers next-generation software application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications, and diagnostics - all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners.
Join us as a Senior Principal Software Engineer on our Software ISG CTIO Platform Architecture and Pathfinding team to do the best work of your career and make a profound social impact. Remote TX, MA, NC and CA.
What you'll achieve
As a Software Engineering Member, you will be a valued member of the ISG CTIO Future Growth Engines team exploring forward-looking technologies and architectures to be used in next generation data center products. We are seeking an individual with comprehensive embedded automation and toolchain development experience including QEMU Automation and Kernel Automation development experience. Excellent communications skills will be required to work effectively with technical leaders across the organization including CTO office members, advanced development engineering, product marketing, and solutions groups. The effort will explore innovations in next generation data center deployments including server and storage and the supporting infrastructure. This will be a hands-on role incubating new pathfinding and spawning proof-of-concept activities to develop architectural directions for future generations of data center infrastructures.
Candidate should have strong problem-solving and analytical skills with agility to adapt to technologies and processes quickly and ability to tackle projects that are loosely defined and be able to provide direction and structure that may evolve quickly based on learnings and new information. A successful candidate must be a self-starter and be able to tackle projects that are loosely defined and be able to provide direction and structure that may evolve quickly based on learnings and new information
You Will: