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Computer Science Major Jobs in Kitchener, ON (NOW HIRING)

Cogeco

Specialist, Data Engineering

Burlington, ON · On-site

Education & Experience Bachelor's degree in Information Technology, Computer Science, or a related ... major cloud platform (AWS, Azure, or GCP). Demonstrated commitment to continuous learning and ...

TransUnion

Principal, Fraud Analytics

Burlington, ON · On-site

... Canada's major credit bureaus, is seeking a visionary and strategic Principal, Fraud Data ... Advanced degree in a quantitative field such as statistics, mathematics, computer science, or ...

Dialpad

AI Engineer, Agentic Voice (TTS)

Kitchener, ON · On-site

... major TTS APIs such as ElevenLabs, Rime, and Cartesia. * Linguistic background: Degree in Computational Linguistics, Computer Science, or AI/ML, with a strong understanding of phonetics, prosody, and ...

KPMG

Cloud Solution Architect, Tax

Kitchener, ON · On-site

Bachelor's degree in computer science, Engineering, related STEM field or work experience * 3+ years proven experience in architecting solutions on major cloud platforms (Azure, AWS, or GCP)

KPMG

Cloud Solution Architect, Tax

Waterloo, ON · On-site

Bachelor's degree in computer science, Engineering, related STEM field or work experience * 3+ years proven experience in architecting solutions on major cloud platforms (Azure, AWS, or GCP)

KPMG

Cloud Solution Architect, Tax

Hamilton, ON

Bachelor's degree in computer science, Engineering, related STEM field or work experience * 3+ years proven experience in architecting solutions on major cloud platforms (Azure, AWS, or GCP)

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Computer Science Major information

What types of collaborative projects can Computer Science majors expect to work on during internships or entry-level roles?

Computer Science majors often collaborate on projects such as developing new software features, debugging existing applications, or creating internal tools with cross-functional teams. These projects typically involve working closely with other developers, product managers, and designers, providing valuable experience in teamwork and agile methodologies. Such collaboration not only builds technical skills but also enhances communication and problem-solving abilities, which are highly valued in the tech industry.

What is the difference between Computer Science Major vs Software Developer?

AspectComputer Science MajorSoftware Developer
Required CredentialsDegree in Computer Science or related fieldTypically a degree in Computer Science, Software Engineering, or related field; certifications helpful
Work EnvironmentAcademic settings, research labs, tech companiesCorporate, startup, or freelance software development environments
Industry UsageEducational programs, research, and developmentBuilding, testing, and maintaining software applications
Common Search/ComparisonEducational background, skills, career pathsJob roles, skills, salary expectations

While a Computer Science Major provides foundational knowledge and credentials, a Software Developer applies those skills to create and maintain software in various work environments. Both roles often overlap, but the major is more academic, whereas the developer role is more practical and project-focused.

What are the key skills and qualifications needed to thrive as a Computer Science Major, and why are they important?

To thrive as a Computer Science Major, you need a strong grasp of programming languages, algorithms, and foundational mathematics, typically supported by coursework in computer science or related fields. Familiarity with tools such as integrated development environments (IDEs), version control systems like Git, and possibly certifications in programming or cloud technologies is advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help students excel in both collaborative and independent projects. These combined abilities ensure success in coursework, internships, and future careers in software development, research, or technology-related roles.

What is a Computer Science major?

A Computer Science major is an undergraduate program that focuses on the study of computers, computational systems, and software. Students in this major learn programming languages, algorithms, data structures, computer architecture, and topics like artificial intelligence and cybersecurity. The major prepares students for a wide range of technology careers, including software development, data analysis, and IT. Coursework often includes both theoretical foundations and practical application through projects and internships.
What cities near Kitchener, ON are hiring for Computer Science Major jobs? Cities near Kitchener, ON with the most Computer Science Major job openings:
Computer Science Major jobs near you
Infographic showing various Computer Science Major job openings in Kitchener, ON as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.
AI Engineer, Agentic Voice (TTS)

AI Engineer, Agentic Voice (TTS)

Dialpad

Kitchener, ON

Other

Posted 2 days ago

Job description

Your role
As an AI Engineer on our Speech Team, you'll own the back-end implementation and linguistic optimization of the voice (TTS) layer for our next-generation AI agents. You'll work squarely within our Speech Team, a high-impact R&D and engineering group focused on speech recognition, enhancement, and synthesis; bridging core speech science and product engineering so our agents sound human, context-aware, and trustworthy.

You'll build the systems that render voice: integrating and optimizing TTS engines, engineering the persona and parameter machinery, and exposing voice attributes to our customer-facing UI. You'll partner closely with our Voice Experience Designer, who authors and owns the persona standards and quality bar that you implement - you own the platform that makes their designs real, fast, and consistent at scale.

This position reports to our Senior Manager, AI Speech, is based at our Kitchener hub, and operates on a hybrid schedule.

What you'll do

  • TTS backend implementation: Own the integration and optimization of multiple TTS vendor APIs behind a unified interface with failover, and lead research and prototyping of open-source and in-house TTS architectures.
  • Latency & pipeline engineering: Minimize time-to-first-audio and end-to-end latency across the ASR LLM TTS pipeline while maintaining or optimizing voice quality, in partnership with ASR and Audio AI engineers.
  • Linguistic optimization: Apply your knowledge of phonetics and sociolinguistics to format TTS input for maximum naturalness - SSML tags, punctuation-driven prosody, and text normalization for names, numbers, dates, and currency.
  • Persona system & parameter exposure: Build the persona parameterization system and architect the logic that exposes voice attributes to the product UI, implementing the house standards defined by Agent Experience Design.
  • Prompt engineering as code: Manage structured LLM and TTS prompt templates with versioning and a rigorous evaluation harness.
  • Conversational turn design: Engineer context- and state-aware "thinking" utterances that maintain caller trust while tool calls and model steps run under the hood.

Skills you'll bring

  • Technical foundation: Strong Python and hands-on experience with deep learning frameworks (e.g. PyTorch).
  • Speech expertise: 3+ years in Speech Synthesis (TTS) or applied speech ML, including hands-on work with frameworks like NVIDIA NeMo, ESPnet, or Coqui, and with major TTS APIs such as ElevenLabs, Rime, and Cartesia.
  • Linguistic background: Degree in Computational Linguistics, Computer Science, or AI/ML, with a strong understanding of phonetics, prosody, and syntax you can apply in code (G2P, pronunciation dictionaries, text normalization).
  • Backend engineering: Experience building production-grade APIs and integrating multi-vendor services in a cloud environment (GCP preferred).
  • Evaluation mindset: Fluency with speech-quality metrics (MOS, intelligibility, latency) and the ability to design and execute rigorous A/B tests for voice personas.
  • Prompt engineering: Proven experience crafting, versioning, and evaluating LLM prompts (system, few-shot) and structured templates.

This is a builder role in a science/infrastructure org. If your strength is conversation design or prompt-tuning without production engineering, our Lead Voice Experience (VX) Designer
role is likely the better fit.

Apply