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Spectrum Jobs in Kitchener Waterloo, ON (NOW HIRING)

onsemi

Machine Learning Engineer, Edge AI

Waterloo, ON · On-site

CA$120K - CA$170K/yr

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.

ParaMed

Clinical Supervisor- RPN

Kitchener, ON

Our dedicated team of skilled professionals delivers a wide range of services to meet the full care spectrum of care needsincluding high-quality nursing, therapeutic, personalsupportand home support.

ParaMed

Clinical Planner - RPN

Brantford, ON · On-site

  • PTO

Our dedicated team of skilled professionals delivers a wide range of services to meet the full care spectrum of care needsincluding high-quality nursing, therapeutic, personalsupportand home support.

ParaMed

Clinical Planner - RPN

Brantford, ON · On-site

  • PTO

Our dedicated team of skilled professionals delivers a wide range of services to meet the full care spectrum of care needsincluding high-quality nursing, therapeutic, personalsupportand home support.

ParaMed

Clinical Office Supervisor - RPN/RN

Kitchener, ON · On-site

  • Medical

  • Dental

Our dedicated team of skilled professionals delivers a wide range of services to meet the full care spectrum of care needsincluding high-quality nursing, therapeutic, personalsupportand home support.

Waystone

Associate - Fund Governance

Waterloo, ON

Our Success depends upon our ability to attract and retain the best, most diverse talent and provide our employees with a broad spectrum of professional development opportunities. Our Workplace ...

ParaMed

Clinical Supervisor - RPN

Brantford, ON · On-site

Our dedicated team of skilled professionals delivers a wide range of services to meet the full care spectrum of care needsincluding high-quality nursing, therapeutic, personalsupportand home support.

Manulife

Financial Consultant

Waterloo, ON · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Manulife Wealth and Asset Management provides comprehensive financial and investment solutions, including financial planning and insurance, to clients across the wealth spectrum. As a Financial ...

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Showing results 41-59

All JobsSpectrum JobsSpectrum Jobs in Kitchener Waterloo, ON

Spectrum information

What are the key skills and qualifications needed to thrive as a Spectrum technician?

To thrive as a Spectrum Technician, you need a solid understanding of electronics, telecommunications systems, and troubleshooting, typically supported by a high school diploma or associate degree in a related field. Familiarity with cable testing equipment, signal analyzers, and industry certifications such as SCTE or CompTIA are often required. Strong customer service, problem-solving abilities, and effective communication make technicians stand out when working with clients in the field. These skills ensure reliable service installations, prompt issue resolution, and high customer satisfaction in a technically demanding environment.

Is Spectrum a good job to work for?

Spectrum offers a range of roles, including customer service, technical support, and installation positions, often requiring strong communication and technical skills. Employee experiences vary, with some citing good benefits and opportunities for advancement, while others mention high call volumes and demanding schedules. Overall, it can be a stable employer for those interested in telecommunications and customer service careers.

What is the difference between Spectrum vs Cable Technician?

AspectSpectrumCable Technician
CredentialsHigh school diploma, technical training, certificationsHigh school diploma, technical training, certifications
Work EnvironmentOffice, customer sites, technical facilitiesCustomer homes, technical sites
Industry UsageTelecommunications, internet, TV servicesTelecommunications, cable TV installation and repair
Common Search IntentCompany-specific roles, service provider jobsInstallation, troubleshooting, repair jobs

Both Spectrum and Cable Technician roles require similar credentials and work environments, focusing on telecommunications and cable services. Spectrum is a specific company, while Cable Technician is a broader job title used across multiple providers. The roles often overlap in duties like installation and troubleshooting, but Spectrum positions are tied to the company's specific operations and policies.

What are some common challenges faced by customer service representatives at Spectrum, and how can new hires best prepare for them?

Customer Service Representatives at Spectrum often encounter challenges such as handling a high volume of customer inquiries, managing difficult or upset customers, and staying updated with frequent changes in products and services. New hires can best prepare by developing strong communication and problem-solving skills, familiarizing themselves with Spectrum’s offerings, and utilizing available training resources. Additionally, seeking support from experienced colleagues and participating in team meetings can help new employees adapt more quickly and deliver excellent service.

What are Spectrum jobs?

Spectrum jobs refer to employment positions at Spectrum, a telecommunications company that provides internet, television, and phone services across the United States. Jobs at Spectrum span a wide range of roles, including customer service representatives, field technicians, sales associates, network engineers, IT specialists, and corporate positions. Working at Spectrum typically offers competitive pay, benefits, and opportunities for career growth. Employees often receive training and support to advance within the company, making it a popular choice for those seeking stable employment in the telecommunications industry.
What cities near Kitchener Waterloo, ON are hiring for Spectrum jobs? Cities near Kitchener Waterloo, ON with the most Spectrum job openings:
Spectrum jobs near you
Infographic showing various Spectrum job openings in Kitchener Waterloo, ON as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 94% In-person, and 6% Remote job distribution.

Machine Learning Engineer, Edge AI

onsemi

Waterloo, ON • On-site

CA$120K - CA$170K/yr

Full-time

Re-posted 24 days ago

Onsemi rating

8.3

Company rating: 8.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

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."

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

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 Talent.acquisition@onsemi.com for assistance.

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.
  • Familiarity with multimodal AI systems.

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

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

What Onsemi employees say

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