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OH
Operations Health Technician (Occupational Health)
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- Full-time
Added 3 mins ago
CH
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Calgary, AB
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Added 3 mins ago
SI
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SI
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Paid volunteer time and sustainability initiatives that help give back to the communities where we live and work.
Added 45 mins ago
TI
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Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.
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AC
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MR
Adaptive Programs Assistant
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Added 1 hour ago
MS
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Added 1 hour ago
GA
Client Advisor (FT), AX Chinook Centre
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Mississauga, ON
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SC
Store manager - retail
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Vancouver, BC
- From $45 CAD / hour
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Added 1 hour ago
CS
Customer service supervisor - retail
Cloud Star
Edmonton, AB
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Added 2 hours ago
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manager, security
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Lead, Team
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Victoria, BC
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TI
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Generous paid time off, including vacation, personal days, and volunteer time
Added 2 hours ago
TI
Service Order Resolution Rep
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Georgina, ON
- Full-time
Generous paid time off, including vacation, personal days, and volunteer time
Added 2 hours ago
MT
Bartender (Upscale / Fine Dining)
Morton's The Steakhouse
Toronto, ON
- $17.95 CAD / hour
- Other
Community volunteer opportunities with Landry’s League
Added 2 hours ago
VS
20th Annual Strachan Hartley Legacy Run
Volunteer Success
North Vancouver, BC
- Full-time
SHLF is a volunteer run charity with all proceeds supporting youth reach their true potential through sport & education. We host a community based road/trail event, offering a 10km, 5km &…

TAIRC

Edge/Systems Engineer

Niagara-on-the-Lake, ON, Canada

Volunteer

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Applications open in a new tab.

Job details

Job type: Volunteer
Apply by: Oct 29, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

Home/Careers/Edge/Systems Engineer

Applied AI Engineering

Edge/Systems Engineer

These engineers focus on resource-constrained deployments such as edge devices and embedded systems.

Apply for this roleManage an applicationBack to careers

Overview

These engineers focus on resource-constrained deployments such as edge devices and embedded systems.

Responsibilities

Develop edge inference systems: Optimize models for mobile and edge devices.
Collaborate with hardware teams: Work with device manufacturers to implement efficient inference solutions.
Ensure reliability in constrained environments: Design systems for limited memory and compute.
Implement security measures: Protect sensitive data and models on devices.

Qualifications

Bachelor's or master's degree in electrical engineering or computer engineering.
Experience with embedded systems, hardware accelerators, and on-device inference.

Equal opportunity

TAIRC evaluates candidates using role-related evidence and documented review criteria. Employment decisions must not be based on protected personal characteristics.

Engagement pathways and compensation status

TAIRC is currently building its funding base. Opportunities identified as volunteer or unpaid do not provide compensation at this stage. Any future paid appointment would require available funding, organizational approval, applicable legal compliance, and a separate written agreement. Participation does not guarantee future employment or compensation.

Volunteer contribution interest may be reviewed only as a voluntary, scoped pathway.
Educational internship interest requires separate supervision, educational purpose, and legal review.
Advisory expressions of interest are not board or formal advisory appointments.
Future compensated employment is contingent on funding, approval, legal compliance, and a separate written offer.

Accessibility and accommodations

For an accommodation or alternate submission format, contact hr@tairc.com. The application form does not request medical documentation or sensitive identity documents.

Posting information

Department Applied AI Engineering

Public role ID TAIRC-ROLE-021

Status Open

Location, employment type, workplace type, compensation, sponsorship policy, posted date, and closing date are omitted unless HR has entered approved factual values.

Recruitment privacy

Application data is used for recruitment review, stored with restricted access, and handled under the recruitment privacy and retention policy.

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More about this job

Responsibilities

Develop and optimize inference systems and models for mobile and edge devices, collaborating with hardware teams to implement efficient solutions. Design reliable systems for limited memory and compute, and protect sensitive data and models on devices.

Requirements

A bachelor's or master's degree in electrical engineering or computer engineering is required. Candidates should have experience with embedded systems, hardware accelerators, and on-device inference.

Skills

Edge Inference
Model Optimization
Mobile Devices
Embedded Systems
Hardware Accelerators
On-Device Inference
Systems Design
Memory-Constrained Computing
Compute-Constrained Systems
Hardware Collaboration
Device Security
Data Protection

Visa sponsorship

Not detected in the job text

Keywords

Applied AI Engineering
Edge Devices
Embedded Systems
Edge Inference
Inference Systems
Model Optimization
Mobile Devices
Hardware Accelerators
On-Device Inference
Electrical Engineering
Computer Engineering
Limited Memory
Limited Compute
System Reliability
Device Security
Sensitive Data Protection
Model Protection

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