Find work in Canada.

572,925 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 1 min ago
HB
Platform Engineer - $250,000+ bonus! (Fintech)
Hunter Bond
Montreal, QC
- Full-time
…here work closely with researchers and developers, and the platform they build underpins compute-intensive research and trading workloads across the…
Added 17 mins ago
AS
Openshift Engineer
Apex Systems
Toronto, ON
- $50 to $60 USD / hour
- Full-time
Apex Systems is seeking a Senior OpenShift / Kubernetes Platform Engineer to support a large enterprise banking client within a growing container platform team. This is a hands-on…
Added 17 mins ago
Senior Product Engineer - Listing Quality
Faire
Kitchener, ON · Toronto, ON
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale…
Added 17 mins ago
T
Quality Engineer I
TD
Toronto, ON
- Full-time
…capacity forecasting during PI planning, and managing project or platform…
Added 17 mins ago
Principal Software Engineer - Agentic Engineering Platform
OpenTable
Toronto, ON
As a Principal Engineer, you'll be a founding member of OpenTable's Agentic Engineering Platform team within Product Engineering, rethinking how software gets built. Our goal is to redesign…
Added 17 mins ago
Principal Software Engineer - Agentic Engineering Platform
OpenTable
Toronto, ON
As a Principal Engineer, you'll be a founding member of OpenTable's Agentic Engineering Platform team within Product Engineering, rethinking how software gets built. Our goal is to redesign…
Added 17 mins ago
M
Manufacturing Engineer II
MiTek
Calgary, AB
- Full-time
The Manufacturing Engineer II is a part of our Manufacturing Engineering / Operations team, helping to set-up, troubleshoot and problem solve Manufacturing CNC machining, automated…
Added 32 mins ago
B
Senior Data Engineer (Databricks Focused)
BDO
Vancouver, BC · Mississauga, ON · Oakville, ON · Ottawa, ON · Toronto, ON
- Full-time
BDO Digital is seeking an experienced and technically proficient Senior Data Engineer (Databricks Focused) to join our Technology Advisory Services practice. This role blends technical…
Added 32 mins ago
B
Senior Data Engineer (Databricks Focused)
BDO
Calgary, AB · AB · Winnipeg, MB · Halifax, NS · Montreal, QC
- Full-time
BDO Digital is seeking an experienced and technically proficient Senior Data Engineer (Databricks Focused) to join our Technology Advisory Services practice. This role blends technical…
Added 32 mins ago
DI
Manufacturing Test - ATE and Bed of Nails Specialist
dcbel Inc
Montreal, QC
- Full-time
Reporting to the Lead Electronics Engineer, your role will be to design, develop, and deliver high-reliability bed‑of‑nails test fixtures and ATE interfaces optimized for robust, repeatable…
Added 47 mins ago
QW
GenAI Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
Familiarity with at least one cloud AI platform, such as Azure OpenAI, Amazon Bedrock, or Google Vertex AI.
Added 47 mins ago
SG
Senior DevOPS Engineer
Societe Generale
Montreal, QC
- Full-time
This role sits within the Engineering Platform department leading one of the Group’s strategic foundation programs: Societe Generale Engineering Platform. Designed by developers, for…
Added 47 mins ago
MG
Associate Platform Engineer
Mobility Global
London, ON
- Full-time
Added 47 mins ago
HB
Senior Linux Platform Engineer - Trading Firm - $150,000-$350,000 CAD + Bonus
Hunter Bond
Montreal, QC
- $150,000 to $350,000 CAD / year
- Full-time
My client are looking for a Senior Linux Engineer to join their team.
Added 47 mins ago
FI
Staff Supply Chain Simulation Scientist
Fulfillment IQ
Remote, Canada
- $145,000 to $170,000 CAD / year
- Full-time
- Remote
Workbench is FIQ's warehouse-design platform: it lets a solutions engineer draw a warehouse the way an architect draws a building. You will design, build and own Workbench’s warehouse…
Added 1 hour ago
W
Software Engineer – Platform Security & Modernization
W3Global
Montreal, QC
- $50 to $60 CAD / hour
- Contract
Software Engineer - Platform Security & Modernization
Added 1 hour ago
AI
Big Data Engineer (PySpark / Spark / Kafka)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Job Description: Big Data Engineer (PySpark / Spark / Kafka)
Added 1 hour ago
HT
Senior AI System Engineer - LLM Training System
Huawei Technologies Canada Co., Ltd.
Vancouver, BC
- Full-time
Huawei Canada has an immediate permanent opening for a Senior Engineer.
Added 1 hour ago
Senior Backend Engineer, Integrations
Movable Ink
Toronto, ON
…implementation. You’ll help shape the technical direction for a critical platform capability while also staying close to the details: designing systems, writing code, reviewing…
Added 1 hour ago
Senior Staff Software Engineer
EarnIn
Vancouver, BC
We’re looking for an exceptional Senior Staff Software Engineer to serve as the L0 Architect for Live Pay, the product that powers the EarnIn Card. As the team’s lead architect, you’ll own…
Added 1 hour ago
JG
Container Security Engineer - Kubernetes, GCP & DevSecOps.
J&M Group
Toronto, ON
- Contract
We are hiring for a Senior Container Security Engineer Kubernetes, GCP & DevSecOps.
Added 1 hour ago
T
Quality Engineer I
TD
Toronto, ON
- Full-time
…capacity forecasting during PI planning, and managing project or platform…
Added 1 hour ago
A
Power BI Developer
Akkodis
Toronto, ON
- Full-time
…bridge between business users and the enterprise analytics platform, ensuring business questions are translated into clear, accurate, and performant analytical…
Added 1 hour ago
SC
Engineering Manager
SYSTRA Canada
Toronto, ON
- Full-time
Preferable: Professional Engineer of Ontario or Chartership of Engineering Body (e.g. P.Eng or CEng)
Added 1 hour ago
R&
Staff AI Developer - Toronto
Robots & Pencils
Toronto, ON
- Full-time
…delivery of AI/ML systems. This role is ideal for an experienced engineer who thrives on architectural decisions, can confidently own systems end-to-end, and contributes to technical…

Huawei Technologies Canada Co., Ltd.

Senior AI System Engineer - LLM Training System

4321 Still Creek Drive, Vancouver, BC, V5C 6S7, Canada

The total target annual compensation ranges from $127,000 to $225,000 depending on education, experience, and demonstrated expertise. · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: The total target annual compensation ranges from $127,000 to $225,000 depending on education, experience, and demonstrated expertise.
Job type: Full-time
Posting language: English
Posted: Nov 3, 2026

Original job description

Huawei Canada has an immediate permanent opening for a Senior Engineer.

About the team:

The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications. One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.

About the job:

As a Senior System Engineer, you will drive core compute operator development and distributed scaling performance across foundation model pre-training and post-training workloads on Ascend NPUs. You will identify computational and communication bottlenecks, implement high-performance kernels using AscendC, Triton, and TileLang, and optimize distributed acceleration suites (MindSpeed / open-source training frameworks).

Ascend High-Performance Kernel Development: Design, implement, and tune core operators (FlashAttention variants, FP8/MXFP8/W4A8 GEMM, Fused RMSNorm, dynamic MoE routing/dispatch) using AscendC, with explorations in Triton (Triton-Ascend backend) and TileLang.
Pre-training & Post-training System Optimization: Architect, scale, and optimize distributed pre-training and RL post-training pipelines using MindSpeed (MindSpeed-LLM / MindSpeed-MM) alongside upstream frameworks (Megatron-LM / Megatron-Core, PyTorch FSDP, veRL, vLLM, Ray).
Distributed Parallelism & Training Efficiency: Tune multi-dimensional hybrid parallelism (TP, PP, CP, EP, ZeRO/FSDP) and RL rollout/actor pipelining on Ascend NPU clusters, achieving optimal MFU and compute-communication overlap.
Low-Precision & Numerical Parity: Implement low-precision training/inference schemes (FP8, MXFP8, mixed-precision), guaranteeing numerical stability, batch-invariance, and strict precision parity between training and serving runtimes.
Profiling & Hardware-Aware Tuning: Conduct deep performance profiling on Ascend hardware using Ascend Profiler (msprof), msprobe, and PyTorch Profiler to eliminate pipeline bubbles, AICore/AIVector stalls, and HCCL communication overhead.
Open Source & Ecosystem Enablement: Contribute high-performance operators, bug fixes, and acceleration features to open-source Ascend communities and upstream AI acceleration projects.
The total target annual compensation ranges from $127,000 to $225,000 depending on education, experience, and demonstrated expertise.

About the ideal candidate:

Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related technical disciplines, 3+ years of experience in high-performance computing (HPC), AI accelerator operator development, or distributed large model training systems.
Hands-on Operator Programming: Solid development experience in AscendC / CANN, or extensive experience in CUDA C/C++ with a proven ability to transition to AscendC. Experience or strong interest in Triton or TileLang for accelerator backends.
Distributed Frameworks: Deep practical experience with distributed pre-training and/or post-training frameworks, such as MindSpeed, Megatron-LM / Megatron-Core, PyTorch FSDP, veRL, or vLLM / DeepSpeed. Systems Programming: Strong programming proficiency in C/C++ and modern Python, with hands-on experience building PyTorch custom C++/CANN extensions.
Performance Analysis: Proficiency in performance profiling and debugging tools on AI hardware (e.g., Ascend Profiler/msprof, PyTorch Profiler, or Nsight toolchains).
Preferred / Standout Qualifications:
Direct experience porting or optimizing Triton or TileLang frontends/backends for non-CUDA accelerators (especially Ascend NPU).
Deep understanding of Ascend NPU microarchitecture (Cube & Vector compute units, local memory hierarchy/UB, memory movement engines, and HCCL collective communication). Hands-on experience optimizing end-to-end MFU for massive MoE or dense foundation models on multi-node NPU/GPU clusters.
Experience in low-precision numerical alignment (FP8, MXFP8, W4A8/W8A8) and eliminating training-inference discrepancy. Active open-source contributions to Ascend repos (MindSpeed, CANN ops, Ascend-vLLM) or upstream projects (Megatron-LM, Triton, TileLang, veRL).

Additional Information：

Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.

All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.

Apply About employer

More about this job

Responsibilities

You will drive core compute operator development and distributed scaling performance for foundation model training on Ascend NPUs. Additionally, you will architect and optimize distributed pre-training and post-training pipelines while conducting deep performance profiling to eliminate hardware bottlenecks.

Requirements

Candidates must hold a degree in a technical discipline and possess at least 3 years of experience in high-performance computing or AI accelerator development. Strong proficiency in C/C++ and experience with distributed training frameworks like Megatron-LM or PyTorch FSDP are required.

Skills

AscendC
CUDA
C++
Python
Distributed Systems
Large Language Models
Triton
TileLang
MindSpeed
Megatron-LM
PyTorch
Performance Profiling
HPC
NPU Architecture
Parallelism
Low-precision Training

Visa sponsorship

Not detected in the job text

Keywords

AscendC
CANN
CUDA
Triton
TileLang
MindSpeed
Megatron-LM
PyTorch
FSDP
vLLM
DeepSpeed
NPU
GPU
HPC
FlashAttention
MoE
FP8
MXFP8
Distributed Parallelism
Performance Profiling
msprof
HCCL
Machine Learning
Artificial Intelligence
System Engineering
Software-hardware Co-design
Foundation Models
RLHF
Numerical Stability
Compute-communication Overlap

Report this job