OverviewSenior software engineer role in Cloud + AI team, enabling secure, scalable, and high-performance AI experiences across multimodal verticals, including real-time audio interaction, image generation, video generation and safety. Our work spans the entire stack-from API interfaces to inference backends serving AI models-delivering end-to-end solutions. Can be based in Mountain View, California or Redmond, Washington. Hybrid work with 3 days in office. The work is high impact, fast paced and collaborative.
Responsibilities- Implement AI Systems: Design and build scalable, reliable architectures that meet high-performance requirements for AI systems including inference backends and API interfaces. Apply knowledge of distributed systems principles to create robust solutions.
- Debug and Optimize Across the Stack: dive deep into existing components to identify and resolve issues quickly. Ensure fast turnaround for critical fixes while maintaining system integrity.
- Collaborate Across Teams and Partners: work closely with multiple internal teams and external partners to solve complex problems, align on technical decisions, and deliver integrated solutions.
- Innovate and Drive Technical Excellence: identify non-obvious technical approaches that unlock new possibilities. Architect and execute features with measurable goals, iterating rapidly to achieve outcomes.
- Full-Stack Engagement: engage with components across the entire stack-from infrastructure to APIs-to deliver end-to-end solutions.
QualificationsRequired/minimum qualificationsBachelor'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.
PreferredEducation
- Minimum degree requirements: Bachelor's in computer science, Engineering, or related field
- Preferred advanced degrees: Master's or Ph.D in related field.
Technical Skills
- Core technical competencies: distributed systems, scalable architecture, API design, understanding of ML/AI fundamentals and practical applications, experience in delivering AI-based solutions
- Familiarity with relevant tools, frameworks, or programming languages: Kubernetes, Azure Devops, Docker, AI / ML frameworks, Python, C++, C#, Rust, gRPC, FastAPI, Autogen, Semantic Kernel, LangChain
- Optional experience with OpenAI API / Azure OpenAI
Experience
- Min 4 years of experience in similar roles or industries.
- Proven track record of delivering projects or products.
- Cross-functional collaboration experience.
Soft Skills
- Communication and collaboration abilities.
- Problem-solving and decision-making under ambiguity.
- Strategic thinking and adaptability.
#AIPLATFORM
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800.00 - $234,700.00 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 $160,200.00 - $261,000.00 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.
