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Principal Software Engineer
C

Principal Software Engineer

Redmond
Type of work
Undetermined
Experience
Senior
Employment Type
B2B
Operating mode
Remote

Tech stack

    C

    advanced

    C++

    advanced

    Python

    advanced

    Team Leadership

    regular

Job description

Online interview
Join us to build the world’s fastest supercomputer! Our interdisciplinary team is solving cutting-edge, mind-bending technical challenges every day across software and hardware. This is your chance to impact the future of computing by contributing to the tools and technologies underpinning Azure's accelerated computing platform. Our team's innovative solutions are used to build and optimize the hardware accelerators that power some of Microsoft’s most important and strategic projects in the cloud.
 
Our software team works at the hardware/software interaction boundary and co-designs those interfaces with partner hardware teams. The software team is creating the software abstractions, libraries, and tools that developers, compiler teams, and frameworks will use to program our accelerators. If you are excited about working on new and exotic hardware, embedded systems, compiler or operating system internals than this is a great team to join. In this role, you will be focusing on developing cross-platform tools in support of our hardware, such as simulators, debuggers, and performance analysis tools. You’ll be also responsible for helping our developer customers adopt and maximize our hardware performance capabilities.
 
We are looking for a collaborative Individual Contributor to work directly with our product group and partner teams. You will be leading a team of software engineers in this role and providing technical leadership. You will also work closely with customers of the accelerator, developers working on other parts of the software stack, and the hardware and other software teams building the accelerator. Key components for success in this role will be the ability to learn and adopt relevant new technologies, tools, methods and processes from Microsoft, industry, and the research community, while developing the team’s ability to consume these technologies.
 
As part of the Cloud Accelerated Systems and Technologies team, you would join a cross-discipline team of highly capable and motivated people in the Azure Hardware Systems Group. You will be expected to collaborate across multiple workstreams and roles like architects, program management leads and engineering leads across the Azure Hardware Systems Group. Excellent communication and presentation skills are important to be able to work with these partners and our customers.
 
#azureahajobs

Responsibilities

  • Technical leadership and management of software engineers.
  • Software design and architecture.
  • Software development in C/C++, Python, and other languages.
  • Co-design with hardware partner teams on HW/SW interfaces.
  • Design and code review of peer work.

Required Qualifications:

  • B.S. or advanced degree in computer engineering, computer science, or related fields
  • 6+ years of software development experience
  • 4+ years' experience with C/C++
  • 2+ years of leadership experience of a software team
 
Preferred Qualifications:

  • A strong technical background and solid foundation in software engineering principles and architecture design
  • Desire to manage diverse, inclusive, and collaborative software/hardware co-design, teams
  • Customer and partner engagement experience with a demonstrated track record of success
  • Ability to plan, influence technical design, and present to SLT on projects that will have a potential long term impact to Microsoft
  • Strong background in computer science fundamentals with specialized experience in one of the following: computer arithmetic, distributed systems, high-performance computing, embedded systems design, processor and accelerator architecture, operating system design, compiler design
  • Exposure to Deep Neural Network training and inference and experience in one or more deep learning frameworks (PyTorch, Tensorflow, Keras, CNTK, etc)