Senior Software Engineer
Microsoft
Senior Software Engineer
Redmond, Washington, United States
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Overview
Do you want to be at the forefront of innovating the latest hardware designs to propel Microsoft’s cloud growth? Are you seeking a unique career opportunity that combines both technical capabilities, cross team collaboration, with business insight and strategy?
Join our Senior Software Engineer (SPARC) team within Microsoft’s Azure Hardware Systems & Infrastructure (AHSI) organization and be a part of the organization behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission.
Microsoft delivers more than 200 online services to more than one billion individuals worldwide and AHSI is the team behind our expanding cloud infrastructure. We deliver the core infrastructure and foundational technologies for Microsoft's cloud businesses including Microsoft Azure, Bing, MSN, Office 365, OneDrive, Skype, Teams and Xbox Live.
The SPARC organization manages Azure’s hardware roadmap from architecture concept through production for all of Microsoft’s current and future on-line services. This role is for a highly motivated SW Engineer with a strong background in neural networks, software, and hardware implementation. You will be involved with both model development, data type analysis, ML/HW co-design.
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."
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.
- 3+ years of experience in Computer Architecture
- or AI Systems
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.
- 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.
- Experience with CUDA or a related accelerator programming language
- Strong experience in software/hardware co-design, specifically for AI
- Applications and GPU/Accelerator Architectures
- Understanding of fundamentals of AI workloads/applications
- Outstanding communication skills
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
Microsoft will accept applications for the role until October 15, 2025.
#SPARC
Responsibilities
RESPONSIBILITIES:
- Analyse Hardware/Software Architecture for Business Critical AI workloads
- Work with machine learning engineers, kernel engineers and compiler developers to understand needs and bottlenecks of high performance accelerators
- Influence Hardware/System/Software roadmap of internal and external vendors to optimize them for Microsoft’ workloads
- Benchmark GPUs and other AI hardware IPs
- Drive Neural Network model/HW codesign
- Develop performance estimates for critical kernels for different hardware configurations