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 directly 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.
We are looking to hire a Principle Software Engineer where 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.
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.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Required/Minimum Qualifications
- Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, Cuda, or Python
- OR equivalent experience.
- 4+ years’ practical experience related to machine learning, including modeling and applications or system/ kernel optimization.
Additional or Preferred Qualifications
- Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, Cuda or Python
- OR 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++, Cuda, 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.
- A proficient technical background and solid foundation in algorithms, software engineering principles, and computer systems.
- Great cross-team collaboration skills and the desire to collaborate in a team of researchers and developers.
- Proficient communication skills (both written and oral)
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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#OpenAI
- Collaborate broadly across multiple disciplines from hardware designers to ML researchers.
- Engage with key partners to understand and evaluate performance/quality tradeoffs for state-of-the-art LLMs at different scales. Build software tools to support validation and exploration of new technologies.
- Perform software development in model scripting e.g. Python and kernel languages e.g. C/C++, CUDA.
- Identify requirements, scope solutions, estimate work, schedule deliverables.
- Embody our culture and values
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