Are you passionate about driving efficiency in GPUs and working on cloud-scale engineering? Do you thrive in collaborative environments?
We are a team applying efficiency practices with the goal of maximizing hardware utilization. Our team directly engages with data scientists and engineers that develop, train, and run LLM models and seek to optimize for latency, throughput, and overall total cost of ownership. We work across Microsoft Copilot to optimize our usage on our large GPU cloud infrastructure. We help to balance responsive, low latency inferences, keep up with a large amount of opportunistic LLM use, and make available every excess FLOP of computation to train our next generation of models.
Our team members reside in Europe and have a mix of in-office, hybrid, and remote employees. We adhere to an inclusive environment where members can contribute equally across the physical and digital presence.
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.
Responsibilities
Qualifications
Required Qualifications:
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:
Preferred Qualifications
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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.
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