Jobs in Canada

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Added 11 mins ago
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Senior Software Engineer - AI Localization & NLP
Techedin
Vancouver, BC
- $65 to $75 CAD / hour
- Full-time
Job Title: Senior Software Engineer - AI Localization & NLP
Added 11 mins ago
TT
Site Reliability Engineer
The TJX Companies, Inc.
Mississauga, ON · CAN Home Office Mississauga ON
- $87,780 to $122,892 CAD / year
- Full-time
We’re looking for a Site Reliability Engineer to help shape the future of intelligent operations by leveraging AIOps, GenAI, automation, and self-healing technologies across enterprise…
Added 11 mins ago
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Sr. Associate Software Development Engineer, Mobile
Workday
Victoria, BC · Vancouver, BC · Canada, BC, Vancouver
- Full-time
As a Sr Associate Mobile Build Infrastructure Engineer - Android, you will play a crucial role in enhancing our mobile development ecosystem. You will work closely with our Android platform…
Added 11 mins ago
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Principal Software Engineer - Evisort AI
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Evisort Engineering is growing! As a Principal Software Engineer, you’ll join a collaborative, cross-functional team working to enhance and expand our AI-driven contract management…
Added 11 mins ago
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Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
…solutions that improve productivity, quality, security, and developer…
Added 26 mins ago
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Project Delivery Director
OSEDEA
Montreal, QC
- Full-time
A software engineering degree or experience as a software engineer or software developer is a must. Experience with AI development is a plus.
Added 26 mins ago
LD
Systems Engineer II
Leonardo DRS
Ottawa, ON · Kanata, ON
- Full-time
Reporting directly to the Manager, Systems Engineering, the Systems Engineer is responsible for the design, development, integration, verification, and validation of complex communications…
Added 26 mins ago
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QA Engineer (AI Native)
Affinity
Vancouver, BC
- Contract
We are seeking an experienced Senior QA Engineer (AI Native) to join Semios' Engineering team. This position will take ownership of quality throughout the software development lifecycle,…
Added 26 mins ago
SB
Mechanical Engineer III (Plumbing)
Strik, Baldinelli, Moniz Ltd.
London, ON
- Full-time
Under the supervision of the Plumbing Team Lead, the Mechanical Engineer III (Plumbing) – Project Lead will lead and coordinate plumbing design and project delivery activities within the…
Added 26 mins ago
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Full Stack Software Engineer
Manulife
Toronto, ON
- Full-time
Full Stack Software Engineer, Finance & Treasury Technology
Added 41 mins ago
MI
IL6S Engineer
Mondelēz International
Toronto, ON · Plant - Bertrand - Toronto, Canada
- Full-time
Added 1 hour ago
MT
Physical Design Engineer
Mirafra Technologies
Canada
- Full-time
We are seeking a Physical Design Engineer with a strong foundation in Static Timing Analysis (STA) and a focus on design flow automation. In this role, you will be responsible for driving…
Added 1 hour ago
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Senior GIS Specialist Traffic Engineering and Operations
Durham Region (The Regional Municipality of Durham)
Whitby, ON
- Full-time
Reporting to the Project Engineer, the incumbent will:
Added 1 hour ago
AM
Principal Systems Design Engineer.
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Job Title: Edge and Enterprise Solution Architect & Systems Engineer
Added 1 hour ago
AM
Silicon Design Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Added 1 hour ago
VB
Shift Lead (Engineer)
Vale Base Metals
Toronto, ON
- Full-time
The role is a permanent on site position, working a rotating 12-hour shift schedule
Added 1 hour ago
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Qualtiy Engineer
Manulife
Waterloo, ON
- Full-time
We are seeking a curious and collaborative Quality Engineer who is motivated by emerging technologies and creative problem-solving. You will contribute your ideas, perspective, and…
Added 1 hour ago
Software Engineer, Fullstack Java Developer
Scotiabank
Toronto, ON
As a Senior manager and lead developer you are required to supervise the regulatory reporting requirements globally, work on AI, The individual must thrive on challenge, be proactive, and…
Added 1 hour ago
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Solution Architect, Digital
Momentum Financial Services Group
Toronto, ON
- Full-time
Added 1 hour ago
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Principal Technical Consultant, Geotechnical Engineer - Oil Sands
Worley
AB · Edmonton, AB
- Full-time
Principal Geotechnical Engineer - Alberta Oil Sands
Added 1 hour ago
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Principal Technical Consultant, Geotechnical Engineer - Oil Sands
Worley
Calgary, AB
- Full-time
Principal Geotechnical Engineer - Alberta Oil Sands
Added 1 hour ago
TO
Director, Asset Management
Town of Oakville
Oakville, ON
- Full-time
Professional Engineer (P.Eng.) designation is preferred.
Added 1 hour ago
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Intermediate Electrical Engineer
Worley
Vancouver, BC
- Full-time
Registration as a Professional Engineer (P.Eng) with EGBC, or eligibility to obtain registration.
Added 1 hour ago
HC
Engineer - Computer Graphics
Huawei Canada
Vancouver, BC
- Full-time
Huawei Canada has an immediate 12-month contract opening for a Computer Graphics Engineer
Added 1 hour ago
MT
Manufacturing Engineer
Modern Technical Staffing Inc.
Vaughan, ON
- $80,000 to $100,000 CAD / year
- Full-time
Our client in Vaughan is looking for a Manufacturing Engineer. They are seeking someone who has been employed with a tier 1 or tier 2 automotive manufacturing company as a Manufacturing or…

Advanced Micro Devices, Inc

Principal Systems Design Engineer.

1 Commerce Valley Drive, Markham, ON, L3T 7X6, Canada

Full-time

Apply on careers.amd.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 13, 2027
Posting language: English
Posted: Nov 13, 2026

Original job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we’ll advance your career.

Job Title: Edge and Enterprise Solution Architect & Systems Engineer

General Description of the Role

As an Edge & Enterprise Solution Architect, you will be the core technical authority responsible for defining, architecting, and deploying end-to-end GPU-accelerated computing solutions targeted at enterprise data centers, hybrid cloud environments, and edge platforms. In this role, you will bridge the gap between customer workload requirements and complex system architecture - combining cutting-edge GPU hardware platforms with complete software application stacks to solve real-world enterprise and edge challenges.

You will partner closely with key enterprise customers, ISVs, systems integrators, and internal engineering teams (hardware, firmware, driver, and software stack teams) to translate business needs into robust, scalable, and secure deployment blueprints. Your scope spans the full technology stack: from evaluating underlying GPU compute hardware, thermals, form factors, high-speed interconnects, and enterprise management interfaces (e.g., Redfish, IPMI, iDRAC/iLO) down to configuring AI/ML frameworks, edge orchestration platforms (Kubernetes/K3s), telemetry, security, and domain-specific edge and enterprise application stacks.

Key Responsibilities

Hardware, SoC & Platform Architecture

Platform & Systems Architecture: Drive end-to-end dGPU platform definition, evaluating trade-offs across SoC design, power delivery, thermal envelopes, board-level signal/power integrity, and form factors for server, edge, and client systems.
Memory & Interconnect Trade-Offs: Assess memory architecture requirements (GDDR, LPDDR, HBM) alongside memory controller design and compression techniques; optimize high-speed interconnect topologies to maximize bandwidth and system efficiency.
Manageability & Telemetry: Define hardware-level telemetry, power-monitoring, and diagnostics hooks to integrate seamlessly with enterprise manageability platforms (iDRAC, iLO, IPMI) for data center and edge deployments.

Software Architecture & Go-to-Market Readiness

Full-Stack Software Vision: Translate high-level system architectural concepts into concrete software requirements spanning firmware, drivers, runtimes, ROCm libraries, tools, and application layer stacks, across AI, media, visualization, and simulation workloads.
Enterprise & Cloud Enablement: Create long-term software architecture plans of record that ensure seamless integration with Kubernetes orchestration, AI frameworks, and enterprise management tools.
Customer Enablement & Deployment: Author reference architectures, sizing guidance, and tuning guides for customers, ISVs, and systems integrators; support application porting and migration onto the platform; act as the escalation point for failures in a live customer software stack.

Hardware–Software Co-Design & Pre-Silicon Validation

Co-Design Leadership: Lead the hardware/software interface definition, ensuring silicon feature sets directly support software requirements while firmware, driver, and library designs reflect hardware constraints.
Early Silicon & Bring-Up: Serve as a primary technical escalation point during pre-silicon modeling and early post-silicon bring-up; debug complex cross-layer issues spanning physical hardware, firmware, drivers, and application software.
Diagnostics & Workflows: Guide the development of robust diagnostics, pre-silicon emulators, and silicon validation tools to accelerate bring-up schedules across cross-functional engineering teams.

Cross-Functional Leadership & Process Innovation

Cross-Functional Alignment: Collaborate closely across SoC architecture, design verification, hardware engineering, driver development, performance libraries, and product management teams.
AI-Assisted Development: Champion the use of AI-assisted tools to accelerate system modeling, code development, review, and documentation, establishing standards for traceability and validation.
Knowledge Capture: Document reusable architectural patterns, bring-up playbooks, and hardware-software design best practices to scale engineering capability across product generations.

Experience & Qualifications

Required Experience & Qualifications

3+/ 7+/ 10+ years of engineering experience in dGPU/SoC platform architecture, hardware engineering, systems software, firmware, or low-level driver development used to bring new silicon to market.
Proven track record in Hardware/Software Co-Design, including defining hardware-software interfaces, analyzing system performance bottlenecks, and debugging complex multi-layer hardware/firmware/software issues.
0 / 0 /2+ years in technical leadership roles with a demonstrated ability to drive technical alignment and resolve ambiguity across multi-disciplinary teams (SoC, platform, drivers, software).
Solid grasp of enterprise manageability standards (IPMI, iDRAC, iLO) and system telemetry frameworks and the software monitoring stacks that operations teams run in production (for example Prometheus, Grafana, OpenTelemetry).
Hands-on experience with containerized GPU deployment and orchestration on Linux and Windows: Docker, Podman, and Kubernetes (including K3s for edge nodes). Experience with Slurm or another cluster scheduler for batch and HPC environments.
Excellent written and verbal communication skills, with the ability to articulate complex architectural trade-offs to both hardware and software audiences.
Willingness to travel domestically and internationally on an occasional basis.

Desired & Optional Qualifications

Machine Learning & AI Frameworks: Knowledge of ML/AI workloads and model architectures (Transformers, Stable Diffusion, CNNs, UNet), including optimization for GPU acceleration libraries (e.g., ROCm, CUDA).
Graphics Architecture: Hands-on experience with DirectX 12, Vulkan, ray tracing pipelines, neural rendering, or game engine performance profiling.
Advanced Systems Engineering: Experience with pre-silicon simulation/emulation environments, server board design, or power integrity analysis.
Production AI Deployment: Experience taking AI workloads from prototype into production: installing and integrating the serving stack (for example vLLM, SGLang, or equivalent), scaling it across nodes, tuning throughput and latency, and handing it over for the customer to operate.
Education: Advanced degree (M.Sc., M.Eng., or Ph.D.) in Electrical Engineering, Computer Engineering, Computer Science, or a related field.

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.

Apply on careers.amd.com About employer

More about this job

Responsibilities

The role involves architecting and deploying end-to-end GPU-accelerated computing solutions for enterprise and edge environments. You will lead hardware-software co-design, manage system bring-up, and collaborate across cross-functional teams to translate business needs into scalable deployment blueprints.

Requirements

Candidates must have over 10 years of experience in dGPU/SoC platform architecture, systems software, or low-level driver development. A strong background in hardware-software co-design, enterprise manageability standards, and containerized GPU orchestration is required.

Skills

GPU Architecture
SoC Design
Systems Engineering
Firmware Development
Driver Development
Hardware-Software Co-Design
Kubernetes
Linux
Windows
AI Frameworks
Telemetry
IPMI
iDRAC
iLO
Performance Profiling
Debugging

Visa sponsorship

Not detected in the job text

Keywords

GPU
SoC
Enterprise Data Centers
Hybrid Cloud
Edge Platforms
Firmware
Drivers
ROCm
Kubernetes
K3s
Telemetry
IPMI
iDRAC
iLO
Docker
Podman
Slurm
HPC
AI
Machine Learning
Transformers
DirectX 12
Vulkan
Pre-silicon Validation
Signal Integrity
Power Integrity
System Architecture
Cloud Enablement
Reference Architectures
Diagnostics

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Jobs in Canada