Senior Software Engineer - Platform

Company:  Microsoft
Location: Redmond
Closing Date: 03/11/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

The Windows & Devices team is on a journey to deliver iconic end-to-end products across hardware, software, and services that people love and use every day. A fundamental part of our work is building the next generation of the Windows Platform that integrates the power of AI and Azure into Windows, enabling developers to build AI-infused experiences people want. Building this platform involves close collaboration with teams from across Microsoft and our hardware ecosystem partners.

The Platform Architecture team in Windows & Devices is looking for a Senior Software Engineer to work on our AI Platform efforts. We are looking for that special blend of engineer who brings their past expertise and experiences while embracing the new and unknown. As a Senior Software Engineer, you'll have a key role in building services, tools, and libraries to bring AI into the everyday workflow of application development on Windows, with a special emphasis on supporting on-device execution of Small Language Models (SLMs). Your role involves contributing to the development of hybrid AI development patterns, connecting on-device SLMs with cloud-based frontier Large Language Models (LLMs) like GPT-4. This position is crucial for innovating and implementing solutions that bring AI into the developer's workflow, making it an essential element of application development.

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.

Responsibilities

  • Lead technical discussions with stakeholders to determine user requirements and incorporate continuous feedback.
  • Participate in the architectural design process, including hypothesis testing, code plan refinement, design documentation, and decision-making.
  • Develop maintainable and extensible code, engage in proactive and reactive debugging, review code to meet quality standards, and participate in code reviews to apply best practices.
  • Execute project and release plans, break down work items, conduct experiments for feature testing, support deployment processes, and understand the impact on users and services.
  • Maintain live service operations, act as a Designated Responsible Individual (DRI) for system monitoring, analyze telemetry data, contribute to automation and compliance processes, stay abreast of technological developments, and maintain communication with partners for user-centric product development.
  • Embody our culture and values.

Qualifications

Required/Minimum Qualifications

  • Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with software architecture, design, and coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
  • OR equivalent experience.
  • 2+ years of experience developing components for Windows, Linux, RTOS or similar systems.
  • 1+ year of demonstrated experience with Machine Learning and graphics APIs such as DirectML, DirectX, Vulkan, or OpenGL.

Additional Or Preferred Qualifications

  • Bachelor’s degree in computer science, Math or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python.
  • OR equivalent experience.
  • Experience with system-level power and performance analysis and OS fundamentals.
  • Experience with workload tracing tools, such as GPUView, and performance analysis tools, such as ARM Development Studio and Snapdragon Profiler.
  • Ability to quickly ramp up on complex and unfamiliar codebases, and work across multiple teams to drive code quality and performance.

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