Staff Software Engineer Jobs at Microsoft with Visa Sponsorship
Staff Software Engineer roles at Microsoft sit at the principal-level of the individual contributor track, typically owning complex distributed systems or platform-wide technical direction. Microsoft has a well-established sponsorship process for engineering roles and works with applicants across multiple visa categories to secure long-term work authorization.
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Help build the infrastructure that powers training, evaluation, and data platforms for reliable deployment of world-class foundational AI models. We are on a mission to create state-of-the-art AI models and deploy them across Microsoft products at an unprecedented scale.
You’ll collaborate across engineering and research to design, evolve, and operate core research infrastructure, so that product teams can train faster, evaluate more rigorously, and ship with confidence. You’ll work closely with the teams that transform pre-trained models into the consumer Copilot experience.
Microsoft’s mission is to empower every person and every organization to achieve more, and we build on values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive.
Microsoft Superintelligence Team
This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.
We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!
Responsibilities
- Design and build core platform services for scalable training and evaluation, including cluster orchestration, job scheduling, data and compute pipelines, and artifact management.
- Standardize containerized workflows by maintaining Docker images, CI/CD, and runtime configurations; advocate for best practices in security, reproducibility, and cost efficiency.
- Implement end-to-end observability and operations through metrics, tracing, logging, dashboard development, monitoring, and automated alerts for model training and platform health (using Prometheus, Grafana, OpenTelemetry).
- Architect and operate services on Azure cloud platforms, managing infrastructure-as-code (Terraform/Helm), secrets, networking, and storage.
- Enhance developer experience by creating tools, CLIs, and portals that simplify job submission, metrics analysis, and experiment management for generalist software engineering and research teams.
- Enforce security and compliance policies for data access, container hardening, and supply-chain integrity, and partner with security and privacy teams to maintain robust practices in multi-tenant environments and secret management.
- Collaborate cross-functionally with data, model, and product teams to align infrastructure roadmaps with training needs, evaluation protocols, and Copilot product goals.
Qualifications
Required/minimum qualifications
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.
Additional or preferred qualifications
- Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- Apply strong software engineering fundamentals in distributed systems, networking, and storage while building large-scale distributed applications on cloud platforms.
- Build systems for AI research teams, with a solid understanding of training and evaluating large language models (LLMs).
- Leverage hands-on experience with Kubernetes, Docker, and the Linux container ecosystem to drive platform reliability and scalability.
- Orchestrate data and compute pipelines using tools like Airflow or Argo, manage streaming systems (Kafka/Event Hubs), and handle object storage (Azure Blob/S3-compatible).
- Develop internal portals and CLIs for job lifecycle management, experiment tracking, and metrics visualization to support operational efficiency.
- Manage GPU cluster operations (scheduling, isolation, utilization), high-performance computing (HPC), and experiment orchestration for machine learning training.
- Implement container security practices and maintain CI/CD pipelines to support robust, reproducible deployments.
Compensation
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
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.
Overview
Help build the infrastructure that powers training, evaluation, and data platforms for reliable deployment of world-class foundational AI models. We are on a mission to create state-of-the-art AI models and deploy them across Microsoft products at an unprecedented scale.
You’ll collaborate across engineering and research to design, evolve, and operate core research infrastructure, so that product teams can train faster, evaluate more rigorously, and ship with confidence. You’ll work closely with the teams that transform pre-trained models into the consumer Copilot experience.
Microsoft’s mission is to empower every person and every organization to achieve more, and we build on values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive.
Microsoft Superintelligence Team
This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.
We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!
Responsibilities
- Design and build core platform services for scalable training and evaluation, including cluster orchestration, job scheduling, data and compute pipelines, and artifact management.
- Standardize containerized workflows by maintaining Docker images, CI/CD, and runtime configurations; advocate for best practices in security, reproducibility, and cost efficiency.
- Implement end-to-end observability and operations through metrics, tracing, logging, dashboard development, monitoring, and automated alerts for model training and platform health (using Prometheus, Grafana, OpenTelemetry).
- Architect and operate services on Azure cloud platforms, managing infrastructure-as-code (Terraform/Helm), secrets, networking, and storage.
- Enhance developer experience by creating tools, CLIs, and portals that simplify job submission, metrics analysis, and experiment management for generalist software engineering and research teams.
- Enforce security and compliance policies for data access, container hardening, and supply-chain integrity, and partner with security and privacy teams to maintain robust practices in multi-tenant environments and secret management.
- Collaborate cross-functionally with data, model, and product teams to align infrastructure roadmaps with training needs, evaluation protocols, and Copilot product goals.
Qualifications
Required/minimum qualifications
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.
Additional or preferred qualifications
- Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- Apply strong software engineering fundamentals in distributed systems, networking, and storage while building large-scale distributed applications on cloud platforms.
- Build systems for AI research teams, with a solid understanding of training and evaluating large language models (LLMs).
- Leverage hands-on experience with Kubernetes, Docker, and the Linux container ecosystem to drive platform reliability and scalability.
- Orchestrate data and compute pipelines using tools like Airflow or Argo, manage streaming systems (Kafka/Event Hubs), and handle object storage (Azure Blob/S3-compatible).
- Develop internal portals and CLIs for job lifecycle management, experiment tracking, and metrics visualization to support operational efficiency.
- Manage GPU cluster operations (scheduling, isolation, utilization), high-performance computing (HPC), and experiment orchestration for machine learning training.
- Implement container security practices and maintain CI/CD pipelines to support robust, reproducible deployments.
Compensation
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
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.
See all 89+ Staff Software Engineer at Microsoft jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Staff Software Engineer at Microsoft roles.
Get Access To All JobsTips for Finding Staff Software Engineer Jobs at Microsoft Jobs
Align your portfolio to Microsoft's engineering scale
Microsoft evaluates Staff Software Engineers on system design at scale, not just coding ability. Document projects where you owned architecture decisions across large distributed systems. Concrete examples of scope and impact matter more than credentials alone.
Target teams with established sponsorship pipelines
Teams inside Azure, Microsoft 365, and GitHub consistently hire at the Staff level and have well-worn sponsorship workflows. Applying through teams with recurring senior engineering needs reduces the risk of your offer stalling at the approval stage.
Clarify visa type early in recruiter conversations
Microsoft sponsors multiple visa categories for this role, including H-1B, E-3, and H-1B1. If you hold Australian or Chilean or Singaporean citizenship, ask your recruiter explicitly about E-3 or H-1B1 pathways, which bypass the H-1B lottery entirely.
Time your application around H-1B registration windows
If you need H-1B sponsorship, USCIS registration opens each March for an October 1 start date. Microsoft cannot file a cap-subject H-1B outside that window, so plan offer timelines accordingly to avoid a 12-month wait for the next cycle.
Prepare credential documentation before the offer stage
Microsoft's immigration team will need degree certificates, transcripts, and a detailed employment history for the visa petition. Gather official translated copies early. Delays in credential verification are a common reason petitions miss filing deadlines.
Use Migrate Mate to find open Staff Software Engineer roles
Filtering for visa-sponsoring companies at the Staff level takes time manually. Migrate Mate surfaces Microsoft's open Staff Software Engineer positions alongside sponsorship history, so you can prioritize applications where sponsorship is already confirmed for this role.
Staff Software Engineer at Microsoft jobs are hiring across the US. Find yours.
Find Staff Software Engineer at Microsoft JobsFrequently Asked Questions
Does Microsoft sponsor H-1B visas for Staff Software Engineers?
Yes, Microsoft sponsors H-1B visas for Staff Software Engineers. The process follows the standard USCIS cap-subject timeline, with registration each March and an October 1 start date. Microsoft works with in-house immigration counsel and external firms to handle petitions, so the process is well-structured once you have an offer in hand.
Which visa types does Microsoft commonly use for Staff Software Engineers?
Microsoft sponsors H-1B visas for most nationalities, but also files E-3 petitions for Australian citizens and H-1B1 petitions for citizens of Chile and Singapore. Both the E-3 and H-1B1 are cap-exempt, meaning they don't require lottery selection and can be filed year-round, which gives those applicants a significant timeline advantage.
What qualifications does Microsoft expect for a Staff Software Engineer?
Microsoft's Staff Software Engineer level generally requires a bachelor's degree in computer science or a related field, plus substantial experience leading technical design across large systems. Interviewers assess system design, cross-team influence, and engineering judgment at scale. A master's or PhD can accelerate level placement but is not required.
How do I apply for Staff Software Engineer jobs at Microsoft?
You can browse open Staff Software Engineer positions on Migrate Mate, which filters for roles where Microsoft is actively sponsoring visas. From there, applications go through Microsoft's careers portal. Tailor your resume to reflect system ownership and cross-functional impact, as those are the signals Microsoft's recruiting team screens for at the Staff level.
How do I understand the timeline from offer to visa approval at Microsoft?
After an offer is signed, Microsoft's immigration team initiates the Labor Condition Application with the DOL, which typically takes seven business days. For H-1B, the full USCIS petition review runs three to five months in standard processing, or two to three weeks with premium processing. E-3 and H-1B1 petitions can be filed and approved faster since they aren't lottery-dependent.
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