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Added 9 mins ago
OI
Développeur/Développeuse
Optisigma Inc.
Canada
- Full-time
Designing and implementing the selected solution, favouring reusable and scalable components wherever possible in order to reduce technical debt
Added 9 mins ago
KP
Vice President, Business Development
Kye Pharmaceuticals
Toronto, ON
- Full-time
…assessments and partnering with senior leadership at Kye to lead and close…
Added 25 mins ago
GC
Senior Analyst, HRISNew
Glencore Canada
Vancouver, BC
- $108,000 to $127,000 CAD / year
- Full-time
Lead HRIS projects and provide technical guidance to HR, IT, and business stakeholders
Added 40 mins ago
IC
OCM & Communications Lead – Cybersecurity Transformation
Infotek Consulting Inc.
Toronto, ON
- $80 to $90 CAD / hour
- Contract
Seeking a senior Organizational Change Management (OCM) and Communications Lead to support a large-scale global cybersecurity and network transformation program. This role will lead change…
Added 40 mins ago
MA
Account Manager
Mosaic AI
Toronto, ON
- Other
Build value cases from customer data and use them to lead consultative, outcome-focused conversations with business and technical leaders
Added 40 mins ago
ZC
Fashion Design Instructor
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- Full-time
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Added 1 hour ago
PL
Owner
PT Long Harmony Industry
Fort Erie, ON
- Full-time
…commercial environments. Barbican is recognized for combining technical performance with thoughtful design, serving architects, designers, and facility owners across a range of sectors.…
Added 1 hour ago
Q
Manager, Technical Support – Projects & Services (Global)
Qualitrol
Toronto, ON
- Full-time
Lead a distributed network of factory-based and regional technical support personnel
Added 1 hour ago
RP
Business Development / Sales Account Manager
Roll Pro Security Shutters & Roll Up Doors
Concord, ON
- Full-time
Experience selling building materials, construction products, industrial products, doors, shutters, garage doors, windows, or other technical products is a strong asset.
Added 1 hour ago
TC
Continuous Improvement Engineer
TMC Canada
Milton, ON
- Full-time
Continuous Improvement : Lead improvement actions related to quality claims, returns, Lean Ordering, and delivery complexity reduction. Analyze performance gaps and implement sustainable…
Added 2 hours ago
A
HVAC Technician – Level 2
AirRevive
Hamilton, ON
- Full-time
Technicians will rotate into team lead roles, managing on-site tasks, coordinating with other team members, and mentoring junior staff. Effective communication and collaboration are…
Added 2 hours ago
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Project Manager, Capture and Optimization of Research Data (CORD) Platform
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
…Evaluation (CORE). CORD provides researchers with expert support, technical resources, and methodological tools to facilitate data operations across the full study lifecycle. Reporting to…
Added 2 hours ago
MU
MARINE GEOMATICS SPECIALIST (HYDROGRAPHER)(RTP V)
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- Full-time
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- Full-time
Lead and manage the purification technician team, conduct staff appraisals, and promote personal development
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Patient Experience iCare Exchange Integrations Engineer
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Create and maintain comprehensive technical documentation for all integration solutions.
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- Full-time
Lead root cause investigations for validation discrepancies and implement corrective actions for continuous quality improvement.
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Lead, develop, coach, and inspire a high-performing sales team by setting clear expectations, mentoring individual performance, and fostering a culture of accountability, collaboration, and…
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Montreal, QC
- Full-time
We are looking for a Technical Lead who is strategic, hands-on, and deeply committed to engineering excellence to join our engineering team. The best candidate will be someone who thrives…
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Added 3 hours ago
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Guelph, ON · Hamilton, ON · Kingston, ON · Kitchener, ON · Oakville, ON · Toronto, ON · Windsor, ON · North York, ON
- Full-time
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Added 4 hours ago
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Lead the sales strategy and plan, including customer target accounts, prospecting, sales lead follow-up and maintaining a strong relationship with existing customers
Added 4 hours ago
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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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