Jobs in Waterloo, ON and nearby

Jobs within 25 km of Waterloo, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

6,171 listings · 1,300 employers Counted Oct 8, 2026. How we count

About these jobs

Employers hiring include Linamar Corporation (163 listings), Loblaw Companies Limited (160 listings), University of Waterloo (107 listings).

Common roles: Retail sales associate, Software engineer, Customer service representative.

697 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	21.00	314
CAD / year	75,000.00	313
USD / year	86,000.00	17
USD / hour	33.00	15

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 18% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Waterloo, ON and nearby

Within 25 km

Email me new jobs Save this search

Added 2 days ago
AR
Account Executive-Connected Vehicles-Guelph
Altruck Rentals
Guelph, ON
- Full-time
Added 2 days ago
WC
Maintenance Technician - Guelph, ON
Wurth Canada
Guelph, ON
- Full-time
Added 2 days ago
WC
National Key Account Manager (Auto)
Wurth Canada
Guelph, ON
- Full-time
Added 2 days ago
SF
Assistant Showroom Manager
Smitty’s Furniture
Kitchener, ON
- Full-time
Added 2 days ago
G
Software Developer, Google Chat iOS
Google
Waterloo, ON
- Full-time
Added 2 days ago
G
Senior Software Developer, Mobile (iOS), Platforms and Devices
Google
Waterloo, ON
- Full-time
Added 2 days ago
CO
Bylaw Enforcement Officer - Snow and Ice (Temporary for Approximately 5 months)
City of Kitchener
Kitchener, ON
- Temporary
Added 2 days ago
SB
Branch Coverage Representative
Stanley Black & Decker, Inc.
Waterloo, ON
- Full-time
Added 2 days ago
Android XR Application Compatibility AI Technical Lead
Google
Waterloo, ON
Added 2 days ago
MN
Food Sampling Brand Ambassador- Cambridge
Mosaic North America
Cambridge, ON
- Part-time
Added 2 days ago
MN
Loblaw - Food Sampling Brand Ambassador - Kitchener
Mosaic North America
Kitchener, ON
- Internship
Added 2 days ago
OT
Lead Automation Architect
Open Text Corporation
Waterloo, ON
- Other
Added 2 days ago
SL
Senior Data Scientist
Sun Life
Waterloo, ON
- Full-time
Added 2 days ago
SV
Medical Consultant
Skin Vitality Medical Clinic
Kitchener, ON
- Full-time
Added 2 days ago
Business Analyst
County of Wellington
Guelph, ON
Added 2 days ago
Project Manager (Renewal)
Region of Waterloo
Kitchener, ON
Added 2 days ago
Cook (Sunnyside)
Region of Waterloo
Kitchener, ON
Added 2 days ago
Principal Data Scientist
Region of Waterloo
Waterloo, ON
Added 2 days ago
Public Health Nurse (Infectious Diseases)
Region of Waterloo
Kitchener, ON · Cambridge, ON · Waterloo, ON
Added 2 days ago
Director, Water and Wastewater Infrastructure Management
Region of Waterloo
Kitchener, ON
Added 2 days ago
ML
Technician
Motion LP
Kitchener, ON
- Full-time
Added 2 days ago
R
Shipper Receiver
Rimowa
Cambridge, ON
- $22.3 to $27.87 CAD / hour
- Full-time
Added 2 days ago
TN
Dispensary Sales Associate (P/T)
True North Construction Company
Kitchener, ON
- Part-time
Added 2 days ago
PH
Customer Care Coordinator
ParaMed Home Health Care
Kitchener, ON
- Part-time
Added 2 days ago
LC
Manager, Transport (Highway Operations)
Loblaw Companies Limited
Cambridge, ON
- Full-time

Google

Technical Solutions Development Manager, Compute, Google Cloud

Waterloo, ON, Canada

Apply About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Oct 1, 2026

Original job description

Minimum qualifications:

Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
13 years of experience in reading/debugging code written in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) and in virtualization and orchestration frameworks.
Experience troubleshooting and advocating for customer needs, and triaging technical issues across the stack (e.g., hardware faults, low-level software, networking, virtualization, kernel drivers, firmware, performance)
Experience with Linux/Unix systems and debugging issues across the hardware/software boundary on enterprise-grade server infrastructure.

Preferred qualifications:

Experience working with large-scale distributed systems, and familiarity with common solutions, design patterns, or best practices.
Experience working directly with AI/ML computing hardware, including GPUs or other accelerators.
Experience with ML frameworks (e.g., TensorFlow, PyTorch), and understanding of the AI/ML training and inference life-cycle.
Familiarity with containerization and orchestration technologies like Kubernetes or Slurm in an on-prem or cloud environment.

About the job:

Our Solutions Developers for AI Infrastructure own complex customer issues and provide specialized support to other teams. As a part of a global team that provides 24x7 support to ensure customers can seamlessly deploy their AI and ML workloads on AI Infrastructure products, you will ensure we have the expertise, tools, and processes to resolve deep technical issues customers encounter. You will handle customer escalations by combining business acumen with technical skills, develop team members into highly skilled troubleshooting experts who can diagnose a wide variety of issues within the hardware and software boundary within minutes. You will lead operational excellence within the team with a focus on reliable execution, help drive business growth by recognizing and advocating for our customers’ challenges related to AI deployments.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Canada: $174000 - $178000 (CAD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

Manage customers' problems through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues on AI/ML infrastructure.
Develop an in-depth understanding of AI/ML workloads and underlying hardware architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for faster diagnosis.
Act as a consultant and subject matter expert for internal stakeholders in Development, Sales, and customer organizations to resolve complex deployment and operational obstacles in AI infrastructure environments.
Work closely with multiple Product and Development teams to find ways to improve the product, and interact with our Site Reliability Developing teams to drive high-quality production.

Apply About employer

More about this job

Responsibilities

Manage and resolve complex customer issues related to AI/ML infrastructure while developing tools for faster diagnosis. Act as a subject matter expert to internal stakeholders and drive operational excellence within the global support team.

Requirements

Requires a bachelor's degree in a STEM field and at least 13 years of experience in coding, debugging, and managing enterprise-grade server infrastructure. Candidates must have deep expertise in Linux/Unix systems, virtualization, and AI/ML hardware architectures.

Skills

Java
C
C++
Python
Shell
Go
JavaScript
Linux
Unix
Kubernetes
Slurm
TensorFlow
PyTorch
Debugging
Virtualization
Orchestration

Benefits

Bonus target
Equity
Health benefits

Visa sponsorship

Not detected in the job text

Keywords

Google Cloud
AI Infrastructure
Machine Learning
Distributed Systems
GPUs
Accelerators
Containerization
Hardware Architecture
Kernel Drivers
Firmware
Networking
Site Reliability Engineering
Root Cause Analysis
Troubleshooting
Java
Python
C++
Go
Linux
Unix
Kubernetes
Slurm
TensorFlow
PyTorch
Virtualization
Orchestration
Enterprise Infrastructure
Software Development
Technical Support
Operational Excellence

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