Cambridge, On Cloud engineer Jobs – 100 Openings This Week

Machine Learning Engineer, Edge AI
onsemi —Waterloo, ON
- $120,000–$170,000 a year
- Full-time
- Research
- Machine learning
- Computer networking
Cloud Developer III
Verily —Waterloo, ON
- $120,500–$136,000 a year
- Full-time
- Computer Science
- AWS
- Bachelor's
Senior AI Full‑Stack Engineer
Manulife —Waterloo, ON
- $129,400–$179,400 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- System design
- Disability insurance
- Dental care
Senior Software Developer Cloud
Agfa —Waterloo, ON
- $125,000–$145,000 a year
- Azure
- Oracle
- Computer Science
- Paid time off
Expert MDM Engineer
Maplesoft Group —Guelph, ON
- $100,000–$110,000 a year
- Hybrid work
- Azure
- DevOps
- English
Senior Site Reliability Engineer
Magnet Forensics —Waterloo, ON
- $110,000–$160,000 a year
- Full-time
- AWS
- Paid time off
Lead Telecom Engineer - Electrical Utilities
CIMA+ —Guelph, ON
- $108,080–$148,610 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Programmable logic controllers
- Employee assistance program
- Flexible schedule
Quick apply
Manufacturing & Test Engineer
Voyis —Waterloo, ON
- $80,000–$115,000 a year
- Full-time
- Engineering
- Assembly
- Scripting
- Profit sharing
- Vision care
Quick apply
Customer Support Engineer
Descartes —Waterloo, ON
- $50,000–$60,000 a year
- Full-time
- Computer science
- Microsoft Access
- Computer Science
- Flexible schedule
10d
Software Engineer Technical Lead, UAM
Verily —Waterloo, ON
- $146,500–$164,500 a year
- Full-time
- Computer Science
- Engineering
- Java
Forward Deployed Engineer (Healthcare Integrations)
NERv Technology Inc. D.B.A. FluidAI Medical —Kitchener, ON
- $100,000 a year
- Full-time
- English
- EMR systems
- APIs
Quick apply
Full Stack Software Engineer
RideCo —Waterloo, ON
- $100,000–$140,000 a year
- Computer Science
- Engineering
- Databases
- Dental care
- Flextime
Quick apply
5d
Senior Software Developer, Cloud Platform
Verily —Waterloo, ON
- $146,500–$164,500 a year
- Full-time
- Computer Science
- AWS
- Bachelor's
Embedded Developer and Test Engineer
Cloud DX, Inc. —Kitchener, ON
- Full-time
- CAD
- Engineering
- Laboratory experience
Quick apply
Software Developer, GKE Workload Autoscaling
Google —Waterloo, ON
- $150,000–$154,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
7d
Staff Firmware Developer
onsemi —Waterloo, ON
- $90,000–$130,000 a year
- Full-time
- Engineering
- System design
- Master's degree
- Flexible schedule
Enterprise Architect - Software Development
GHD —Waterloo, ON
- $130,794–$176,794 a year
- Hybrid work
- Microsoft Excel
- Azure
- DevOps
Software Development Engineer in Test
Magnet Forensics —Waterloo, ON
- $70,000–$120,000 a year
- Full-time
- DevOps
- Java
- APIs
- Paid time off
5d
Team Lead, DevOps
Agfa —Waterloo, ON
- $125,000–$175,000 a year
- Remote
- Azure
- DevOps
- Java
- Paid time off
Senior Technical Support Analyst
Verily —Waterloo, ON
- $123,000–$138,500 a year
- Full-time
- Computer Science
- Java
- SQL

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cloud engineer jobs near cambridge, on

Machine Learning Engineer, Edge AI

onsemi -
Waterloo, ON

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Job details

Full-time
$120,000–$170,000 a year

Qualifications

PyTorch
Research
OS Kernels
Machine learning
Computer networking
Recruiting
AI
Python
Debugging

Full job description

We are looking for a Machine Learning Engineer, Edge AI to lead the integration and control of our next-generation AI accelerators. As our products evolve to include dedicated neural network hardware, the challenge shifts from pure algorithm implementation to complex hardware orchestration.

This role is about more than just writing kernels; it’s about defining the firmware layer that sits between high-level AI frameworks and our custom silicon. You will be responsible for how our DSPs manage, schedule, and feed data to these accelerators. We need a veteran who can look at a PyTorch model and determine the best way to tile memory, manage DMA transfers, and synchronize processing to ensure we hit our ultra-low-power targets while maximizing throughput. You will also be the primary technical voice influencing our future hardware specs to ensure our accelerators are actually "firmware-friendly."

Responsibilities

What You Will Do

Lead research and development efforts in edge AI and embedded machine learning.
Design, train, evaluate, optimize, and deploy machine learning models spanning applications from low-power 1D sensor processing through high-dimensional sensing systems such as ultrasonic arrays.
Investigate and develop novel architectures for constrained edge deployments, balancing performance, power, latency, and memory requirements.
Optimize AI workloads through techniques such as quantization, pruning, graph optimization, kernel acceleration, and hardware-aware training.
Deploy models across a variety of hardware platforms, including onsemi solutions and third-party edge AI hardware.
Stay current with advances in machine learning research and translate promising techniques into scalable, production-ready products.
Work closely with hardware, firmware, and software teams to co-design AI solutions that maximize efficiency, performance, and scalability on resource-constrained edge platforms

Qualifications

What You’ll Need

Strong Python, PyTorch and ONNX experience developing, training, evaluating, and deploying machine learning models.
Deep understanding of modern AI architectures including CNNs, Transformers, state-space models, and other emerging neural network approaches.
Experience optimizing, deploying and debugging models across a wide spectrum of edge devices, from ultra-constrained microcontrollers and DSPs to high-performance AI accelerators and GPUs.
Experience developing machine learning solutions for one or more sensing domains, including time-series signals, audio, computer vision, or ultrasonic sensing.
Hands-on experience with model compression and deployment techniques such as quantization, pruning, graph optimization, and operator/kernel optimization.
Practical experience translating research concepts into production-quality systems.
Strong understanding of model performance tradeoffs involving latency, memory footprint, power consumption, and accuracy.
4+ years of industry and/or academic experience in machine learning research, model development, or AI systems engineering.

Nice to Have

CUDA development and GPU optimization experience.
Experience with TensorRT, ONNX Runtime, TVN, IREE, or similar inference frameworks.
Experience with TinyML, embedded inference runtimes, or DSP programming.

onsemi is excited to share the base salary range for this position i$120,000 - $170,000 exclusive of fringe benefits or potential bonuses. The final pay rate for the successful candidate will depend on geographic location, skills, education, experience, and/or consideration of internal equity of our current team members. We also offer a competitive benefits package

About Us

onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world’s most complex challenges and leads the way in creating a safer, cleaner, and smarter world.

More details about our company benefits can be found here:

https://www.onsemi.com/careers/career-benefits

About the Team

We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.

onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact [email protected] for assistance.

Apply Now

Refine Your Search

cloud engineer jobs in cambridge, on

Machine Learning Engineer, Edge AI

Cloud Developer III

Senior AI Full‑Stack Engineer

Senior Software Developer Cloud

Expert MDM Engineer

Senior Site Reliability Engineer

Lead Telecom Engineer - Electrical Utilities

Manufacturing & Test Engineer

Customer Support Engineer

Software Engineer Technical Lead, UAM

Forward Deployed Engineer (Healthcare Integrations)

Full Stack Software Engineer

Senior Software Developer, Cloud Platform

Embedded Developer and Test Engineer

Software Developer, GKE Workload Autoscaling

Staff Firmware Developer

Enterprise Architect - Software Development

Software Development Engineer in Test

Team Lead, DevOps

Senior Technical Support Analyst

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