Senior Software Engineer

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

The Artificial Intelligence (AI) Platform organization at Microsoft builds the end-to-end Azure AI stack/Platform as a Service (PaaS) and is core to Azure’s innovation and differentiation, as well as all of Microsoft’s flagship products, from Office to Teams, to Xbox. We are the team building Azure OpenAI, Azure Machine Learning (ML), Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet.

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

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 new Maia-100 AI accelerator.  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.

We are hiring a Senior Software Engineer to work on graphics processing unit (GPU) performance analysis and optimization.  As a member of this team, you will have the opportunity to work on the fundamental abstractions, programming models, runtimes, libraries and application programming interfaces (APIs) to enable large scale training and inferencing of 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 tackle the hardest problems in building a full end-to-end AI stack.  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 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

  • OR equivalent experience.

• 2+ years' experience with C/C++
• 2+ years’ practical experience working on real-world applications that use GPUs, experience in optimizing GPU kernels for performance

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.

Preferred/Additional Qualifications: 

• B.S. or advanced degree in computer engineering, computer science, or related fields, and 8+ years of software development experience
• Experience in low-level program behavior, including performance and memory usage, proficiency using profiling tools such as NVIDIA Visual Profiler, nvprof, and NVIDIA Nsight Compute
• Technical background and foundation in software engineering principles and architecture design
• Intellectual curiosity and passion about learning new technologies
• Exposure to Deep Neural Network training and inference and experience in one or more deep learning frameworks (PyTorch, Tensorflow, ONNX, etc.)
• Great cross-team collaboration skills and the desire to collaborate in a team of researchers and developers

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 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 $145,800 - $238,600 per year.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 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 $173,200 - $282,200 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 will accept applications and processes offers for these roles on an ongoing basis.

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.

#aiplatform#

• Engage with key partners to understand and implement performance analysis and optimization for state-of-the-art large language models (LLMs) and other models.
• Work with cutting edge hardware stacks and a fast-moving software stack to deliver best of class inference and optimal cost.
• Perform software development in C/C++, Python, and GPU development in languages such as CUDA, ROCm, or Triton.
• Identify requirements, scope solutions, estimate work, schedule deliverables.
• Embody our Culture and Values