• Principal Software Engineer

    Microsoft Corporation (Mountain View, CA)


    The Artificial Intelligence (AI) Frameworks team at Microsoft develops the AI software used to train and deploy the world’s most advanced AI models. We collaborate with our hardware teams and partners to build the software stacks for Microsoft’s next-generation supercomputers and the Maia AI accelerators.  We work closely with ML researchers and developers to optimize and scale out model training and inference.  We work with OpenAI on the models hosted on the Azure OpenAI service.

     

    The team operates at the intersection of AI algorithmic innovation, purpose-built AI hardware, systems, and software. We are a cross-discipline team of highly capable and motivated people with a collaborative and inclusive culture and with a shared mission of supporting and driving our AI future.

     

    As a member of this team, you will have the opportunity to work on developing and evaluating core algorithmic and hardware technologies to enable large scale inferencing and training of the most advanced AI models on novel AI hardware.

     

    This is a technical role: it requires hands-on software design and development skills. We’re looking for someone who has a demonstrated history of solving hard technical problems and is motivated to learn new areas and tackle the hardest problems in building efficient AI systems. An entrepreneurial approach and ability to take initiative and move fast are essential.

    \#AIFX

    Responsibilities

    + Collaborate broadlywithMLresearchers,system engineers, and production engineers.

    + Engage with key partners to understand and evaluateperformanceandqualityforstate-of-the-artLLMsat different scales.

    + Build software tools to support validation and exploration ofLLMoptimizationtechnologies.

    + Perform software development inmodel scripting and/or kernel languages, such asPython,C/C++, CUDA.

    + Identifyrequirements, scope solutions, estimate work, schedule deliverables.

    Qualifications

    Required Qualifications:

    + Bachelor'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 equivalent experience.

    + 4+ years’ practical experience related to machine learning, including modeling, application, or system/kernel optimization.

    Preferred Qualifications:

    + Master'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 Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

    + OR equivalent experience.

    + Experience in training or serving Deep Neural Network models. Experience with Language Models and ML system optimization are a plus.

    + Strong communication skills (both written and oral)

     

    Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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

     

    Microsoft posts positions for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

     

    \#CoreAI

     

    \#aifx

     

    Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .