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Senior Software Engineer

Technology, Data & Digital · Software & Web Development · Software Engineering · Artificial Intelligence · Cloud Engineering

In short

As a Senior Software Engineer on the Azure Specialized team, you will design and deliver next-generation AI infrastructure for training and inference workloads on Microsoft's Public Cloud platform. This role involves deep technical work across hardware and software, focusing on end-to-end systems engineering for AI and GPU-based workloads, with a focus on customer value, quality, and performance.

Responsibilities

  • Design and deliver the next generations of AI infrastructure for training and inference workloads for Azure.
  • Define and deliver an end-to-end vertical view with a continuous focus on customer value, quality, performance, and automation.
  • Deeply engage in defining, deploying, and sustaining hardware and software Azure infrastructure for AI and other GPU-based workloads.
  • Focus on hardware/software interaction, coding, and working with next-gen hardware, and end-to-end systems engineering.
  • Contribute to expanding the capacity and range of supported scenarios for Azure's growth.
  • Collaborate across Microsoft to enable end-to-end new scenarios for Azure customers.
  • Produce extensible and maintainable code, optimize, debug, refactor, and reuse code.
  • Apply metrics to drive code quality and stability, and adhere to coding patterns and best practices.
  • Maintain communication with key partners across the Microsoft ecosystem to ensure alignment.
  • Drive the identification of dependencies and the development of design documents for products, applications, services, or platforms.
  • Act as a Designated Responsible Individual (DRI) and guide other engineers.
  • Monitor system/product/service for degradation, downtime, or interruptions, and initiate actions to restore services.
  • Ensure Azure platform consistency in performance, scalability on demand, and engineering for unparalleled computing demand.
  • Help build a test-driven engineering culture to reduce regressions and bugs in production.
  • Set a higher bar for infrastructure quality.

Requirements

  • 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.
  • Ability to meet Microsoft, customer and/or government security screening requirements.
  • Must pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Desired 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.
  • 2+ years experience on Distributed Systems
  • 2+ years of experience in AI Infrastructure

Benefits

  • Certain roles may be eligible for benefits and other compensation.

Skills

C++PythonC#JavaJavaScriptC
#AI#Azure#Cloud#Infrastructure#GPU#Distributed Systems#Software Engineering
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Company

Microsoft

Job Posted

2 weeks ago

Employment Type

Full Time

Work mode

Remote

Salary

US$119,800–234,700 / year

Experience Level

Senior

Locations

United States

Qualification

Bachelor

Applicants

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