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Added 12 mins ago
AS
Quality Engineer
AgileGrid Solutions
Canada
- Full-time
Added 41 mins ago
HT
PD Service - Mechanical
Husky Technologies
Bolton, ON
- Full-time
Added 41 mins ago
HT
Manufacturing Engineer (Contract)
Husky Technologies
Bolton, ON
- Full-time
Added 41 mins ago
HT
PD Software for Service
Husky Technologies
Bolton, ON
- Full-time
Added 41 mins ago
HT
Product Development Engineer
Husky Technologies
Bolton, ON
- Full-time
Added 2 hours ago
T
Edge/Systems Engineer
TAIRC
Niagara-on-the-Lake, ON
- Volunteer
Added 3 hours ago
C
Junior / Intermediate Electrical Engineer (EIT) – Substations
CANEIL
AB · Edmonton, AB
- Full-time
CANEIL is continuing to expand its in-house electrical engineering team to support a growing portfolio of transmission, utility, industrial, renewable energy, and mission-critical…
Added 4 hours ago
SG
Electronics Engineer
Sander Geophysics
Ottawa, ON
- Full-time
Read and create electrical schematics, and interface control documents using CAD based software;
Added 6 hours ago
EI
Director of Engineering And Operations
Entegrus Inc
St. Thomas, ON
- Full-time
Added 6 hours ago
HT
PD Software for Service
Husky Technologies
Bolton, ON
- Full-time
Added 6 hours ago
HT
Manufacturing Engineer (Contract)
Husky Technologies
Bolton, ON
- Full-time
Added 6 hours ago
HT
PD Service - Mechanical
Husky Technologies
Bolton, ON
- Full-time
Added 6 hours ago
HT
Product Development Engineer
Husky Technologies
Bolton, ON
- Full-time
Added 7 hours ago
WH
Senior Automation Engineer
Waterstone Human capital
Toronto, ON
- Full-time
…manufacturing sector, handling everything from mechanical and electrical engineering to PLC programming and assembly in-house. They're looking for a Senior Automation Engineer to join a…
Added 7 hours ago
M
Critical Environment Field Service Engineer - Data Centers
Microsoft
Toronto, ON
- Full-time
…and we need you as a CO+I Critical Environement Field Service Engineer…
Added 11 hours ago
ST
Junior Electrical Project Engineer
Saltworks Technologies
Richmond, BC
- $70,000 to $95,000 CAD / year
- Full-time
Added 11 hours ago
X
Senior Electrical Engineer
Xanadu
Toronto, ON
- Full-time
Added 12 hours ago
HT
Manufacturing Engineer (Contract)
Husky Technologies
Bolton, ON
- Full-time
Added 12 hours ago
HT
PD Software for Service
Husky Technologies
Bolton, ON
- Full-time
Added 12 hours ago
HT
Product Development Engineer
Husky Technologies
Bolton, ON
- Full-time
Added 12 hours ago
HT
PD Service - Mechanical
Husky Technologies
Bolton, ON
- Full-time
Added 13 hours ago
H
Electrical Designer
HDR
Richmond Hill, ON
- Full-time
Added 13 hours ago
H
Site Civil Section Manager
HDR
Toronto, ON · Richmond Hill, ON
- Full-time
Added 13 hours ago
AH
Engineer - Arlo Hotels
Arlo Hotels
Engineer, BC
- Full-time
Arlo Washington DC, soon to be added to the Arlo Hotels portfolio is now seeking a dynamic Engineer.
Added 15 hours ago
Senior Electrical Engineer
JDS Energy & Mining
Wells, BC
JDS Energy & Mining is seeking an Senior Electrical Engineer to join our team on a FIFO rotation supporting a major mining project. This position plays a key role in the successful delivery…

TAIRC

Edge/Systems Engineer

Niagara-on-the-Lake, ON, Canada

Volunteer

Apply About employer

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Job details

Job type: Volunteer
Apply by: Nov 25, 2026
Posting language: English
Posted: Oct 31, 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.

Apply About employer

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 limited-compute environments, 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
Hardware Collaboration
Memory-Constrained Systems
Compute-Constrained Systems
System Reliability
Device Security
Data Protection

Visa sponsorship

Not detected in the job text

Keywords

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

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