Microsoft Senior Software Engineer 

Canada, British Columbia, Vancouver 

636527618

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with debugging and coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

  • OR equivalent experience.

• 4+ years of experience delivering world class systems software.
• 3+ years experience working at the low levels of the software stack and/or integration of hardware and software.

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 Qualifications:

• Hands-on experience in developing machine learning compilers or kernels is highly preferred.
• Hands-on experience in training or fine-tuning language models is a big plus.
• Up-to-date knowledge of GPU, NPU, or CPU compute architecture and experience writing high-performance compute kernels for machine learning operations in any language is a plus.
• Demonstrated communication/customer interfacing skills, ability to deal with ambiguity, and ability to prioritize software development tasks and a proven record of customer successes.
• Demonstrated communications/customer interfacing skill and the ability to deal with ambiguity and priority.

Software Engineering IC4 - The typical base pay range for this role across Canada is CAD $108,100 - CAD $199,700 per year.

Find additional pay information here:

• Drive co-engineering efforts across teams and with industry partners to deliver scalable and high-performance machine learning features on GPU, NPU, and CPU.
• Work effectively across teams to address problems and collaboratively arrive at effective solutions. Bring clarity to ambiguous situations.
• Model a great example of engineering excellence and product quality in all aspects of software development and partner collaboration.
• Collaborate with engineers from the hardware vendor, customer, and partner teams to maintain and evolve the DirectML platform and relevant tools on various frameworks and silicon.
• Develop and maintain highly reliable and scalable performance benchmark systems that run across frameworks and diverse hardware.
• Maintain and extend the system compatibility test suite to ensure that the DirectML platform and related technologies continue to reliably produce accurate and consistent results across diverse supported frameworks and hardware.
• Monitor daily builds of the platform components and keep the automated monitoring system in a reliable state.
• Work with open-source engineers to help further our platform missions and facilitate related work with the open-source community.

Other

• Embody our and