Senior Software Engineer, DOCA Verification
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Design and develop PCIe firmware for a data processing unit, focusing on device security and high-performance driver software. Requires a bachelor's degree in computer science and 4+ years of coding experience in languages like C, C++, or Python, with preferred experience in embedded systems, kernel development, and PCIe protocol work. You'll architect firmware, debug PCIe issues, mentor team members, and contribute across Azure infrastructure. No location or remote status specified; no salary provided.
Written from this posting by Neural Jobs AI. The full description is below.
Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for engineers to help achieve that mission.
The Data Processing Unit (DPU) team brings together state-of-the-art software and hardware expertise to create a highly programmable and high-performance ASIC with the capability to efficiently handle large data streams. Thanks to its integrated design, this solution empowers teams to operate with increased agility and deliver significantly superior performance compared to CPU-based alternatives.
We are seeking a Snr Software Engineer to join our DPU Runtime (OS) PCIe team responsible for developing cutting edge, high-performance scalable and programmable DPU software with a focus on next generation PCIe device firmware development. You will be a key contributor within our DPU driver software team. You will bring your PCIe, and embedded development experience to contribute to DPU driver code and related host software and support. Your contributions will have a wide impact across Azure through the development of the latest generation PCIe adapter cards.
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Preferred Qualifications:
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Microsoft builds Windows, Azure, Office and the Copilot family of AI assistants, and operates one of the largest AI training and inference fleets in the world. Microsoft Research and the AI platform teams work across foundation models, systems for large-scale training, and applied ML in every product line.
Founded in 1975 and headquartered in Redmond, Washington, the company is also OpenAI's principal compute partner and ships AI tooling for developers through GitHub, VS Code and Azure AI.
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