Senior Software Engineer
About The Position
Core OS is responsible for the foundational technologies that underpin Windows and Windows Server, providing the trusted platform on which customers run their most critical workloads. Our team combines deep systems engineering with modern AI innovation to bring the next generation of intelligent capabilities to enterprise environments. We are hiring a Senior Software Engineer to build new Artificial Intelligence (AI) platform capabilities for Windows Server across on-premises and hybrid customer deployments. You will be at the forefront of AI inference in a novel environment, and your work will infuse cutting edge AI concepts into existing Server platforms and workflows. AI has thus far remained in the cloud, and you will translate those cloud-connected ideas to air-gapped, on-premises and hybrid environments. You will work at the intersection of AI models, agents, identity, and management surfaces on our most hardened OS platform. Experience or demonstrated interest in operating system fundamentals is a plus; experience with existing AI inference toolchains is valued. At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.
Requirements
- 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.
Nice To Haves
- 5+ years of professional software engineering experience with coding in one or more languages such as C, C++, C#, Java, JavaScript, Python, Rust, or TypeScript, including designing automated tests and validation for the software you ship.
- Demonstrated knowledge of Server administration and management features.
- Familiarity with Server deployment and usage strategies in air-gapped or on-premises environments.
- Understanding of AI model catalogs, model servers, protocols and inference layers.
- Familiarity with the current state of the art around observability and diagnostics.
- Experience with systems software development, deep systems architecture, driver development, and code architecture/design for complex software systems.
Responsibilities
- Design and implement how we track usage, policy and efficiency for artificial intelligence capabilities.
- Build observability pipelines through telemetry insights, diagnostics, and health signals needed to measure how this on-prem infrastructure is performing.
- Define and develop the management layer for AI inference toolchains from model lifecycles and catalogs to language and protocol gateways.
- Design and implement validation plans to assess the quality of this infrastructure and evaluate the end to end workflows and life cycle experiences of such a solution.
- Coordinate with security and compliance teams to ensure this toolchain meets or exceeds platform release requirements.
Benefits
- Certain roles may be eligible for benefits and other compensation.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
