and accelerators, as well as a state-of-the-art scale-out network infrastructure to enable these workloads. We collaborate with many Microsoft teams and our industry partners to design and bring up the underlying platform, and we build the software to expose this platform as an Azure service.
As a Principal Software Engineer in the Azure HPC/AI team, you will play a critical role in designing and delivering the next generations of our platform by solving technical problems at all levels of the stack, contributing to our codebases to enable new features on our VMs, working on architectural proposals, and collaborating with our industry partners. We are looking for a Principal Software
Engineer who is committed to quality, wants the customer to succeed and gets things done. You will join a phenomenal team of hardworking engineers with deep experience in high performance computing, cloud infrastructure, operating systems, machine learning, and software engineering in general.
This position involves deep technical work that primarily focuses on hardware/software interactions, device virtualization, and performance analysis of GPU workloads in VMs. Since our team is also responsible for the vertical integration of our VM offerings, you will also have the opportunity to work with upper layers of the Azure infrastructure software. It is an exciting time for the team as we
are working on expanding the capacity and range of supported scenarios to fuel the next growth wave.
This position offers a unique opportunity to have a huge impact on Microsoft's AI infrastructure and AI initiatives. 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. Qualifications: Required Qualifications: Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python OR equivalent experience 2+ years of experience in High Performance Computing (HPC) or Machine Learning 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: Master's or Ph D degree in computer science or related areas Familiarity with Machine Learning and AI Infrastructure Familiarity with Operating Systems fundamentals and virtualization technologies Experience developing and/or debugging low level system software Experience with Profiling and Performance Analysis Tools Familiarity with Cloud Computing technologies Experience in Distributed Systems Experience in High Performance Computing / Machine Learning frameworks and middleware Experience in Co-Designing Hardware-Software Familiarity with Hardware Accelerators 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: careers. /us/en/us-corporate-pay 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, interaction (including pregnancy), interactionual 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. #azurehpcai#azurecorejobs Responsibilities: Analyzes functionality, integration, and performance issues at various levels of the HW/SW stack on current and future generations of AI training platforms. Designs and codes solutions that improve functional correctness, stability and performance of AI training oriented VM offerings and related services.
When appropriate drives internal partner teams or industry partners to implement such solutions. Leads by example within the team by producing extensible and maintainable code. Optimizes, debugs, refactors, and reuses code to improve performance and maintainability, effectiveness, and return on investment (ROI). Applies metrics to drive the quality and stability of code, as well as appropriate coding patterns and best practices. Holds accountability as a Designated Responsible Individual (DRI), and mentors other engineers across products/solutions, working as on-call to monitor system/product/service for degradation, downtime, or interruptions.
Develops a playbook for the team to resolve issues. Coordinates people and resources to ensure DRI responsibilities are covered across teams Maintains communication with key partners across the Microsoft ecosystem of engineers. Acts as a key contact for leadership to ensure alignment with partners' expectations. Considers partner teams across organizations and their end goals for products to drive and achieve desirable user experiences and fitting dynamic needs of partners/customers through product development.
Your mission will be to help ensure Azure platform is consistent on performance, can scale on-demand, and engineered to withstand the unparalleled computing demand from the customer workloads. You will help build a test-driven engineering culture to reduce regressions and bugs in production and will set a higher bar for infrastructure quality. Embody our culture and values. Requisition #: 1640989pca3lyuhf
with Azure Dev/Ops (ADO) tools and services Organize and manage Git Hub repositories, branches, pull requests, issues, and workflows for code versioning, collaboration, and quality assurance Familiarity with modern LLM platforms such as Open AI, Llama, and open-source large language models (LLMs) to create innovative and impactful applications across research domain Implement platform capabilities to support MLOps for foundation models, such as continuous integration, continuous delivery, testing, monitoring, and feedback Ensure the security and compliance of models deployed in the field, following regulatory guidelines, data privacy, and ethical considerations related to AI applications Prepare
and maintain technical documentation, reports, and presentations to effectively communicate AI methodologies, results, and recommendations to diverse audiences Stay informed about the latest advancements in AI, machine learning, industry trends, and emerging technologies, and apply them to improve existing solutions or create new one Ability to multi-task and prioritize across varying workstream types Partner closely with other members of functional project teams Ensure appropriate systems development and development processes are being utilized Must Have skills: Engineer Exp 5 years Azure Ecosystem and AI/ML 5 years (tool experience - can develop prototypes/demos) Experience in a similar
fast paced role 5+ years The target hiring compensation range for this role is the equivalent of $64.67 to $71.86 an hour.
Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location. Additional benefits offered may include; medical health insurance and dental insurance, life insurance, and eligibility to participate in 401k plan with company match. Client Description Our client is a large technology company based in Redmond, Washington with a mission to empower every person and every organization on the planet to achieve more. They develop computer software, consumer electronics, personal computers, and related services.
This company enables digital transformation for the era of an intelligent cloud and an intelligent edge. Working here, you will be part of a company that values: Innovation Diversity and inclusion Corporate social responsibility AI Trustworthy computing Why work with AQUENT? Check out our awesome benefits: /talent/talent-benefits Aquent is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, interaction, interactionual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.
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