About the job
The Artificial Intelligence Frameworks team (AIFX) at Microsoft develops the software used to optimize and deploy the world’s most advanced AI models on Microsoft's AI supercomputers. The pace of innovation in AI is unprecedented, with new models, architectures, hardware platforms, and optimization techniques emerging continuously. To keep pace, our team must be able to develop, validate, and deploy our software quickly and reliably. We are seeking a Developer Experience Engineer II and/or Senior Developer Experience Engineer - AI Frameworks, to enhance and accelerate our software engineering work. This engineer will build and maintain development workflows, build pipelines, CI systems, containerized development environments, SDK packaging and release pipelines, AI performance dashboards, and software productivity tools that our team relies on to develop, test, and ship our software efficiently. Our culture is highly collaborative and we regularly partner with researchers, hardware architects, platform engineers, and other software groups across the company.
Responsibilities
Design and build high-quality, scalable, and secure software solutions.
Design and build developer tools & customer SDKs for novel hardware platforms.
Collaborate broadly across multiple disciplines from hardware architects to ML developers.
Identify requirements, scope solutions, estimate work, schedule deliverables.
Help establish and drive the adoption of outstanding coding standards and patterns and help enhance our inclusive engineering culture.
Implement and optimize CI/CD, deployment automation, and production readiness processes.
Qualifications
Minimum
Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, or Python OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
Preferred
2+ years experience with C/C++
Experience with modern build systems and tooling (e.g., CMake, Azure Pipelines, Bazel, Ninja)
Experience managing and organizing large C++ codebases
Experience building and managing containerized workloads
Experience developing and publishing SDKs
Experience building developer tools and specifically developer tools for AI
Experience profiling and measuring performance
Experience implementing and optimizing AI workloads
Technical background and solid foundation in software engineering principles
Intellectual curiosity and an interest in learning new technologies
Cross-team collaboration skills and communication skills
A commitment to a diverse and inclusive workgroup culture