Microsoft
Posted 46 days agoVerified live 2d ago
Developer Experience Engineer II and/or Senior Developer Experience Engineer - AI Frameworks
Brief overview
Remote
UndergradOr in progress
$120k–$235k/yrStated range
2+ yrsMinimum
7,292 H-1B approvalsDept. of Labor
7,082 green cardsCertified filings
C/C++PythonCMakeAzure PipelinesBazelNinjaLarge-scale C++ Codebase ManagementContainerizationSDK Development and PublishingAI Developer ToolsPerformance ProfilingAI Workload Optimization
About the company
Microsoftmicrosoft.com
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.7,292H-1B approved
97%approval rate
1,172new H-1B hires
7,082PERM certified
$169,178median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20232,866
20241,446
20251,801
20261,179
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20231,912
20242,842
20251,798
20261,338
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20232,396
20241,662
20252,928
202696
Top sponsored roles
Software EngineeringSoftware EngineerTechnical Program ManagementProduct ManagementData Science
Sponsored employees from
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Job description
Summary
Microsoft develops software for optimizing and deploying advanced AI models on AI supercomputers. The Developer Experience Engineer II and/or Senior Developer Experience Engineer will build and maintain development workflows, build pipelines, CI systems, containerized environments, SDK release pipelines, performance dashboards, and productivity tools for AI framework development.
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
Skills
- 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
- 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
Qualifications
Must Haves
- 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
Nice to Haves
- 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
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