header alt image test
Microloft Logo

Microloft

Software Engineer II - AI Infrastructure

Reposted 3 Days Ago
Be an Early Applicant
In-Office
Mountain View, CA, USA
102K-219K Annually
Junior
In-Office
Mountain View, CA, USA
102K-219K Annually
Junior
Build and optimize secure, scalable AI infrastructure, including inference backends, APIs, platform services, and distributed systems. Debug components across the technology stack, deliver high-performance AI solutions, collaborate with internal teams and partners, and drive technical innovation and reliability across multimodal AI experiences.
The summary above was generated by AI
Overview
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 AI safety systems.
 
You will contribute across the full technology stack, from APIs and platform services to the inference infrastructure serving cutting-edge AI models at massive scale. You'll work on systems that power real-world products used by millions of customers while helping advance the reliability, safety, and efficiency of AI platforms.
 
This role is based in either Mountain View, CA or Redmond, WA. We are looking for engineers who thrive in fast-paced environments, enjoy tackling complex technical challenges, and excel in collaborative teams.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.


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.

Qualifications

Required Qualifications: 

  • 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++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
     

Preferred Qualifications: 

  • Master's Degree in Computer Science or related technical field
    • AND 3+ 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 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
  • 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.
  • Communication and collaboration abilities.
  • Problem-solving and decision-making under ambiguity.
  • Strategic thinking and adaptability.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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, read more about requesting accommodations.

Similar Jobs at Microloft

18 Hours Ago
In-Office
Mountain View, CA, USA
106K-223K Annually
Senior level
106K-223K Annually
Senior level
Automation
Leads end-to-end social marketing strategy for major product launches, campaigns, cultural moments, and brand initiatives. Develops full-funnel, platform-specific approaches spanning content, creators, communities, earned media, and customer participation. Partners with marketing, creative, analytics, and agency teams; influences senior stakeholders; guides creative execution; defines measurement plans; interprets performance insights; and drives optimization. Also advances AI-enabled marketing innovation and scalable social practices across global or multi-market campaigns.
18 Hours Ago
In-Office
120K-261K Annually
Senior level
120K-261K Annually
Senior level
Automation
Define and execute product strategy, roadmap priorities, and investment decisions for Microsoft Purview capabilities. Lead cross-functional initiatives, align engineering and partner teams, represent customer needs, analyze market and competitive insights, establish success metrics, and use data to drive product outcomes. The role focuses on data protection, AI governance, security risk investigation, and secure AI adoption.
Top Skills: Microsoft Purview
18 Hours Ago
In-Office
120K-261K Annually
Senior level
120K-261K Annually
Senior level
Automation
Own the vision, strategy, roadmap, and success measures for cybersecurity AI models powering agentic security products. Translate customer needs, market insights, research advances, and security trends into model priorities. Evaluate model effectiveness, safety, reliability, performance, and cost using telemetry, evaluations, and feedback. Lead initiatives from discovery through launch, adoption, and scale while aligning research, engineering, product, and leadership teams.
Top Skills: Agentic AiAi ModelsArtificial IntelligenceCybersecurityModel EvaluationTelemetry

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account