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Senior Software Engineer - AI Infrastructure

Microsoft Corporation

Mountain View, CAJob$120–235K/yrPosted 1w agoStill listed today

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At a glance

Compensation
$120–235K/yr
Location
Mountain View, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Microsoft Cloud Background Check

Job overview

The Senior Software Engineer will help build Microsoft’s AI data-plane for LLM inference workloads across Microsoft and Azure customers. The role focuses on scalable, reliable, low-latency AI traffic management and scheduling, including routing, capacity allocation, and workload optimization. The engineer will shape technical direction, improve service operations and fleet efficiency, mentor colleagues, and contribute to long-term AI infrastructure strategy.

Skills & qualifications

RequiredNice to have

Skills

C (Programming Language)C++ (Programming Language)C# (Programming Language)Java (Programming Language)JavaScript (Programming Language)Python (Programming Language)Distributed ComputingCloud Platform SystemKubernetesTelemetryMetrics PipelinesResource SchedulingCloud PlatformsContainer OrchestrationLarge-Scale Service OperationsDistributed StorageReal-Time Data ProcessingAI/ML InfrastructureGPU FleetsInference ServingModel DeploymentCross-Team LeadershipProject Delivery

Qualifications

Bachelor's in Computer Science or Related4+ Years Technical Engineering ExperienceMicrosoft Cloud Background CheckMaster's in Computer Science or Related + 6+ Years, Bachelor's in Computer Science or Related + 8+ Years, or Equivalent Experience

Full job description

Overview Join our team within AI Infrastructure, where we are building the AI data-plane that powers all LLM inferencing workloads across Microsoft and Azure customers—from cutting-edge startups to Fortune 500 enterprises. Our converged AI fabric delivers inference capabilities for all LLMs in Microsoft catalog, including OpenAI, Anthropic, Mistral, Cohere, Llama, and more. As a Senior Software Engineer, you will shape the future of one of the largest and fastest-growing services in Azure, foundational to Microsoft’s AI strategy. Our mission is to serve models at scale—reliably, efficiently, and with ultra-low latency—enabling a rich set of AI-powered product experiences. This is a rapidly evolving space with immense opportunities to learn, innovate, and drive industry-wide impact!

Responsibilities

  • Design and implement highly scalable, reliable, and performant distributed systems that power Azure AI traffic management and scheduling.

  • Drive architecture and technical direction for routing, capacity allocation, and workload optimization services.

  • Develop algorithms and control-plane systems that intelligently distribute AI workloads across global infrastructure while meeting latency, availability, and cost objectives.

  • Collaborate with partner teams to onboard new models, regions, and customer offerings while maintaining operational excellence.

  • Build observability and operational tooling to monitor service health, capacity utilization, traffic patterns, and customer impact in near real-time.

  • Lead investigations into complex production issues and drive systematic improvements to reliability, resiliency, and platform automation.

  • Identify and execute opportunities to improve fleet efficiency, reduce operational overhead, and optimize utilization of premium AI infrastructure.

  • Mentor engineers, review designs and code, and raise engineering standards across the organization.

  • Drive engineering excellence through testing, automation, documentation, and operational best practices.

  • Influence long-term platform strategy and contribute to roadmap planning for next-generation AI infrastructure.

Qualifications Required 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.

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.

  • Experience with telemetry, metrics pipelines, or resource scheduling systems.

  • Familiarity with cloud platforms (Azure, AWS, GCP) and container orchestration (Kubernetes, Service Fabric).

  • Experience operating large-scale services with stringent reliability and availability requirements.

  • Experience with distributed storage systems, telemetry platforms, and real-time data processing.

  • Familiarity with AI/ML infrastructure, GPU fleets, inference serving systems, or large-scale model deployment platforms.

  • Experience leading cross-team initiatives and driving projects from design through production deployment and operation.

Other Requirements: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. #AIINFRA

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 $160,200 - $261,000 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

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.

How this job compares

Set against the 40,832 open Software Engineer jobs on Olive Jobs, counted November 5, 2026.

Pay
  • This posting$120–235K/yr
  • California median$165–246K/yr7,688 salary ranges
  • US median$135–218K/yr32,472 salary ranges

This range's midpoint, $177K, is 14% below the California median midpoint ($205K) — in the middle half of Software Engineer salary ranges in California.

Openings
Olive Jobs lists 9,560 open Software Engineer jobs in California and 40,832 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 4 years of experience; Software Engineer postings that state a minimum ask for 5 years at the median (33,318 postings).
Education
14,022 of the 40,832 open Software Engineer jobs (34%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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