Jobs in Canada

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Added 1 hour ago
VC
HR Coordinator / Coordinateur(rice) RH
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
Identify opportunities to automate repetitive HR administrative and integration tasks using AI tools and HRIS workflow features (e.g., communications, data validation).
Added 1 hour ago
HR Director
ASSA ABLOY
ON · Mississauga, ON
…compliance, compensation and benefits, workforce planning, and M&A integration. This role is built for a grounded, technically competent HR leader who thrives in a collaborative,…
Added 1 hour ago
Implementation Consultant, Professional Services
Stripe
Toronto, ON
Partner with Integration Engineers and user technical teams to align architecture, implementation sequencing, testing, data migration, and operational readiness.
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M
QA / PA Lead (Manufacturing Quality)
MDA
Richmond, BC
- Full-time
…delivering integrated mission systems and multi-domain C4ISR integration, enabling trusted Canadian and coalition operations, assured interoperability, and sustained…
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U
Quarry Heavy Mobile Equipment Operator
USG
Little Narrows, NS
- Other
This is a permanent, full-time position currently operating on a day shift schedule
Added 1 hour ago
QW
PySpark Developer – Healthcare
Quantum World Technologies Inc.
Canada
- Contract
We are looking for a highly experienced, hands-on PySpark Developer with strong practical experience in processing CCD/C-CDA clinical documents and building scalable healthcare data…
Added 1 hour ago
AH
Web & UI/UX Designer – WordPress, Front-End Design & Digital Media
ASL HR Solutions
Toronto, ON
- Full-time
Added 1 hour ago
A
Principal Software Developer (Forma Data, File+)
Autodesk
ON · Ontario, Canada
- Full-time
26WD100016, Principal Software Developer (Forma Data, File+)
Added 1 hour ago
MT
Physical Design Engineer
Mirafra Technologies
Canada
- Full-time
Scripting Proficiency: Strong hands-on coding ability in Tcl (for EDA tool integration) and Python (for data processing and workflow automation).
Added 1 hour ago
DR
Senior GIS Specialist Traffic Engineering and Operations
Durham Region (The Regional Municipality of Durham)
Whitby, ON
- Full-time
Strong knowledge of ArcGIS platforms, web and mobile application development, databases, data integration, dashboards, Python, SQL, Power BI, web mapping technologies, and reporting…
Added 1 hour ago
AC
Vice President Treasury
Assiniboine Credit Union
Winnipeg, MB
- Full-time
From the perspective of merger, this position is pivotal to a successful cultural, operational, and structural integration of organizations, ensuring that employees are engaged, valued, and…
Added 1 hour ago
AC
Vice President Finance
Assiniboine Credit Union
Winnipeg, MB
- Full-time
From the perspective of merger, this position is pivotal to a successful cultural, operational, and structural integration of organizations, ensuring that employees are engaged, valued, and…
Added 1 hour ago
AS
Sr. Project Manager
Apex Systems
Mississauga, ON
- $85 to $108 CAD / hour
- Full-time
We’re seeking an experienced project manager to lead multiple technology integration workstreams as part of ongoing mergers and acquisitions. You’ll coordinate between M&A due-diligence…
Added 1 hour ago
WC
Associate Product Manager - Special Sourcing
Wurth Canada
Guelph, ON
- Full-time
A Monday to Friday opportunity that values work/life balance integration, providing flexibility within the day-to-day role.
Added 1 hour ago
EC
Automotive Validation Engineer
Experis Canada
Windsor, ON
- Contract
Work Arrangement: Onsite– 5 days per week on client site
Added 1 hour ago
Research Analyst - Geriatric Division Research
CAMH
Toronto, ON
…successful candidate must have experience with research data integration, management, and documentation; strong organizational skills and attention to detail; excellent interpersonal and…
Added 1 hour ago
P
(45) Project Manager
PLATO
Remote, Canada
- $70 to $75 CAD / hour
- Contract
- Remote
Demonstrated experience delivering complex application, cloud, data, integration, or digital transformation initiatives.
Added 1 hour ago
RH
Human Resources Manager
Reception House
Kitchener, ON
- Full-time
Reception House is a non-profit, community-based organization that delivers quality settlement, integration and support services to refugees and newcomers in Waterloo Region. Since 1987,…
Added 1 hour ago
AM
Principal Systems Design Engineer.
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Enterprise & Cloud Enablement: Create long-term software architecture plans of record that ensure seamless integration with Kubernetes orchestration, AI frameworks, and enterprise…
Added 1 hour ago
AM
Silicon Design Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…closely with the architecture, IP design, front-end design/integration teams, and product engineers to achieve first pass silicon…
Added 1 hour ago
C
Consultant, Business Systems Analysis and Solution Design
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 2 hours ago
HS
ServiceNow Architect/ServiceNow Solution Architect
Hire'in Solutions
Toronto, ON
- Contract
Oracle Fusion, Workday, or Dayforce integration experience.
Added 2 hours ago
TM
Senior Projects Engineer
Trekor Metals Limited
McLeese Lake, BC
- Full-time
Lead the integration of safety and regulatory requirements into project planning, design, and execution, driving best safety practices throughout the project lifecycle, redirecting the…
Added 2 hours ago
M
Qualtiy Engineer
Manulife
Waterloo, ON
- Full-time
Knowledge of continuous integration and continuous delivery methods.
Added 2 hours ago
M
Packaging Area Maintenance Lead- Royal Canin- Guelph, ON
Mars
Guelph, ON · RGU-Royal Canin, Guelph, Canada
- Full-time
Experience leading projects involving custom machinery, robotics, automated systems, and production equipment integration.

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