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Added 1 hour ago
Technical Inside Sales Specialist
Nanometrics Inc
Ottawa, ON
…operations and solutions teams. Additionally, you will become an expert on our pricing, hardware, and solution architecture frameworks, and contribute to high-impact Request for…
Added 4 hours ago
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Patient Experience iCare Exchange Integrations Engineer
Sanofi
Toronto, ON
- Full-time
Position Title: Patient Experience iCare Exchange Integrations Engineer
Added 5 hours ago
DC
Senior Water Resources Engineer
Dillon Consulting Limited
Guelph, ON · Hamilton, ON · Kingston, ON · Kitchener, ON · Oakville, ON · Toronto, ON · Windsor, ON · North York, ON
- Full-time
Dillon's Water Resources team is seeking a Senior Water Resources Engineer to become an integral part of our multidisciplinary group of professionals. This is your chance to dive into…
Added 6 hours ago
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Staff Cloud Security Engineer (Global Security)
RBC
Vancouver, BC · Toronto, ON
- Full-time
…across all tenants. In this role as a Staff Cloud Security Engineer, you will play a crucial role in developing innovative solutions to enhance RBC's Cloud Security posture. You will also…
Added 6 hours ago
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Lead Full Stack Developer
RBC
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- Full-time
This Engineer is an expert professional with deep expertise or unique industry knowledge who uses in depth skill sets to contribute to development of company objectives and principles and…
Added 8 hours ago
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Principal Software Engineer
Microsoft
Vancouver, BC
- Full-time
As a Principal Software Engineer, you will provide technical leadership for enabling and optimizing frontier-scale AI models on Microsoft AI accelerators. You will work across hardware…
Added 9 hours ago
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Principal Engineer - Retail Systems
lululemon
Vancouver, BC
- Full-time
As a Principal Engineer, you will define the technical vision and implementation approach for major technology initiatives across lululemon’s global retail systems landscape. You will serve…
Added 14 hours ago
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Staff Cloud Security Engineer (Global Security)
RBC
Toronto, ON
- Full-time
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Added 17 hours ago
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Senior Systems Integration Engineer
ADGA Group Consultants Inc
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- $135,000 to $150,000 CAD / year
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ADGA is seeking an experienced Systems Integration Engineer for an immediate opportunity to support an upcoming initiative focused on the development of a new Counter-Uncrewed Aerial…
Added 18 hours ago
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Senior Instrumentation Engineer
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Mississauga, ON
- $75 to $85 CAD / hour
- Full-time
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Added 21 hours ago
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Team Lead Software Engineer
Longboard Architectural Products
Abbotsford, BC
- $90,000 to $115,000 CAD / year
- Full-time
Longboard is seeking an experienced Team Lead Software Engineer with strong Python expertise to lead a small team of developers supporting our manufacturing and business operations.…
Added 22 hours ago
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Backend Engineer
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- Full-time
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Added 1 day ago
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Senior Web Compatibility Engineer
DuckDuckGo
Remote, Canada
- $178,500 USD / year
- Full-time
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Advanced ability to reverse-engineer obfuscated third-party code and reduce issues to minimal test cases.
Added 1 day ago
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Senior Integration Developer -C Business Intel
Trillium Health Partners
Mississauga, ON
- Full-time
Position: Senior Business Intelligence Data Engineer
Added 1 day ago
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Technical Safety Specialist
Hitachi
Burnaby, BC · Toronto, ON · (RSBU) Burnaby
- Full-time
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Odaia Intelligence Inc.
Toronto, ON
- Full-time
As a Senior Data Implementation Engineer reporting to the Manager, Technical Implementations, you will play a critical role in configuring and implementing our AI-driven platform to enable…
Added 1 day ago
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AI Ads Product Builder/FDE
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- Full-time
…workflows, and integrations with Gigi. As a forward deployed engineer, you'll work directly with agency leaders, ads managers, and the teams using what you…
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- Full-time
We're hiring an AI Agent Engineer to join our engineering team in Toronto and own end-to-end development of the agents and workflows behind Gigi, our AI media manager.
Added 1 day ago
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State Street
Toronto, ON
- Full-time
Principal Front-Office Trading Integration Engineer / Principal Consultants you will be assessing client needs and utilizing technical expertise to identify solutions which are in alignment…
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Principal Front-Office Trading Integration Engineer - Vice President - Java, Talend, Kafka, ETL - Charles River Development -
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- Full-time
Principal Front-Office Trading Integration Engineer / Principal Consultants you will be assessing client needs and utilizing technical expertise to identify solutions which are in alignment…
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Microsoft

Principal Software Engineer

Vancouver, BC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 2, 2026
Posting language: English
Posted: Oct 3, 2026

Original job description

Overview

Do you want to help shape the future of AI infrastructure and influence the hardware-software co-design decisions powering Microsoft's next generation of AI platforms?

Join the Systems Planning and Architecture (SPARC) team within Azure Hardware Systems and Infrastructure (AHSI), where we are building infrastructure for some of the world's most demanding AI workloads. Our team drives model enablement, performance optimization, and hardware-software co-design across Microsoft's custom AI accelerators and cloud-scale AI systems.

As a Principal Software Engineer, you will provide technical leadership for enabling and optimizing frontier-scale AI models on Microsoft AI accelerators. You will work across hardware architecture, compilers, kernels, frameworks, runtimes, and model teams to define performance strategies, influence future platform investments, and improve training and inference efficiency at scale. This opportunity places you at the intersection of AI systems, distributed computing, and accelerator architecture, with the ability to influence technical direction across multiple engineering organizations.

This role is flexible and offers a hybrid work model with three days per week in the office.

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 achieve 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

Lead technical strategy for enabling and optimizing frontier-scale AI models across Microsoft AI accelerators and cloud-scale AI infrastructure.
Architect and optimize AI systems across hardware, compilers, kernels, frameworks, runtimes, and distributed infrastructure to improve training and inference performance.
Partner with hardware architecture teams on hardware-software co-design, influencing accelerator features, memory systems, interconnects, execution models, and future silicon roadmaps.
Drive performance optimization across kernels, communication, memory movement, quantization, attention, mixture-of-experts (MoE), and other critical AI workloads.
Architect distributed training and inference solutions spanning large accelerator clusters, including parallelism, communication, memory management, and scaling strategies.
Drive model enablement and performance improvements across AI frameworks and inference technologies such as PyTorch, Triton, vLLM, SGLang, and related ecosystems.
Lead architecture reviews and complex cross-organization technical initiatives, build alignment across engineering teams, mentor engineers, and provide technical recommendations that inform Microsoft's long-term AI infrastructure strategy.

Qualifications

Required/minimum 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, JavaScript, or Python OR equivalent experience.
Experience partnering with hardware architecture teams on hardware-software co-design, accelerator enablement, or performance optimization.

Other Requirements

Ability to meet Microsoft, customer, and/or government security screening requirements, including Microsoft Cloud Background Check requirements.

Preferred Qualifications

7+ years of experience developing and optimizing high-performance AI systems, kernels, or accelerator software using CUDA, ROCm, Triton, or similar programming models.
Deep experience optimizing large-scale AI workloads, including attention, mixture-of-experts (MoE), quantization, FP8, KV-cache management, memory efficiency, or related techniques.
Experience enabling and optimizing large language, reasoning, multimodal, or other foundation models on AI accelerators.
Experience designing distributed training or inference systems using techniques such as tensor, pipeline, expert, or sequence parallelism.
Deep knowledge of AI frameworks such as PyTorch and experience optimizing production-scale training or inference workloads.
Demonstrated experience leading complex technical initiatives across multiple engineering organizations and influencing technical strategy beyond immediate team boundaries.
Publications, patents, open-source contributions, or other recognized contributions in AI systems, distributed computing, machine learning infrastructure, or hardware acceleration.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Apply About employer

More about this job

Responsibilities

Lead the strategy and engineering work to enable and optimize frontier-scale AI models on Microsoft accelerators, improving training and inference across hardware, software, and distributed infrastructure. Drive hardware-software co-design, performance initiatives, and cross-organization technical leadership, including architecture reviews, mentoring, and recommendations for long-term AI infrastructure strategy.

Requirements

Requires a bachelor's degree in computer science or a related technical field and at least six years of technical engineering experience with coding, or equivalent experience, plus experience partnering with hardware architecture teams on co-design, accelerator enablement, or performance optimization. Preferred qualifications include seven or more years optimizing high-performance AI systems, expertise in large-scale AI workloads and distributed systems, and a record of leading cross-organization technical initiatives.

Skills

AI Systems Optimization
Hardware-Software Co-Design
Accelerator Enablement
Distributed Training
Distributed Inference
Kernel Optimization
Performance Optimization
PyTorch
Triton
CUDA
ROCm
C++
Python
Quantization
Memory Management
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Microsoft Azure
AI Accelerators
AI Infrastructure
Hardware-Software Co-Design
Frontier-Scale AI Models
Distributed Computing
High-Performance Computing
C
C++
C#
Java
JavaScript
Python
CUDA
ROCm
Triton
PyTorch
vLLM
SGLang
Kernels
Compilers
Runtimes
Distributed Training
Distributed Inference
Tensor Parallelism
Pipeline Parallelism
Expert Parallelism
Quantization
Mixture of Experts

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