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Intern Hardware Integration Engineer Jobs in Toronto, ON

ShyftLabs

AI Engineer Intern

Toronto, ON · Hybrid

CA$20 - CA$30/hr

It provides agent orchestration, multi-model routing, persistent memory, tool integration, durable ... We are looking for an AI Engineer Intern interested in building production-ready AI agents and ...

Altera

Embedded Solutions Intern

Toronto, ON · On-site

CA$90K - CA$95K/yr

The Embedded Solutions team within the Software Engineering department is seeking a motivated ... This broad and highly dynamic role provides unique opportunities to work directly on hardware and ...

ET Group

AV Integration Technician

Toronto, ON · On-site

Troubleshoot installation and hardware issues with Integration, Programming, and Engineering, and support commissioning, functional verification, and system testing * Maintain accurate documentation ...

Tenstorrent University Jobs

Security Intern

Toronto, ON · On-site

... hardware-software co-design. By joining us, you are taking an internship to democratize high ... We are looking for a motivated Security Engineer Intern to assist in managing and maintaining our ...

TMX Group

AV Support Intern

Toronto, ON · On-site

CA$20 - CA$25/hr

We are seeking a highly organized, proactive, and technically minded AV Support Intern to join our ... integrated corporate AV systems * Intermediate understanding of AV equipment and hardware ...

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All JobsIntern Hardware Integration Engineer JobsIntern Hardware Integration Engineer Jobs in Toronto, ON

Intern Hardware Integration Engineer information

What does an intern hardware integration engineer do?

An Intern Hardware Integration Engineer supports the design, development, and testing of hardware systems by assisting with the integration of various electronic components and subsystems. Their responsibilities typically include assembling hardware prototypes, running diagnostic tests, documenting results, and collaborating with teams to troubleshoot and resolve integration issues. This role provides hands-on experience with hardware platforms and tools, preparing interns for future engineering positions in the hardware field.

What types of projects and responsibilities can an intern hardware integration engineer expect to work on during their internship?

As an Intern Hardware Integration Engineer, you can expect to work on tasks such as assembling and testing hardware components, assisting in troubleshooting integration issues, and collaborating with cross-functional engineering teams. You'll likely help document hardware configurations, run diagnostic tests, and support the integration of new devices into larger systems. This role offers hands-on experience with both hardware and software, and you'll gain insight into the collaborative problem-solving process that ensures different components work seamlessly together.

What are the key skills and qualifications needed to thrive as an intern hardware integration engineer, and why are they important?

To thrive as an Intern Hardware Integration Engineer, you need a solid understanding of electronics, circuit design, and embedded systems, often supported by coursework or a degree in electrical or computer engineering. Familiarity with tools like oscilloscopes, logic analyzers, PCB design software (such as Altium or Eagle), and basic programming languages is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with cross-functional teams and resolve integration challenges. These skills and qualities are essential for successfully contributing to hardware projects and ensuring reliable system performance.

What is the difference between Intern Hardware Integration Engineer vs Intern Electronics Engineer?

AspectIntern Hardware Integration EngineerIntern Electronics Engineer
Required CredentialsEnrolled in Electrical, Computer Engineering or related fieldsEnrolled in Electrical, Electronics, or related fields
Work EnvironmentHands-on hardware testing, integration, and system assemblyDesign, circuit analysis, and electronic component testing
Industry UsageTechnology, consumer electronics, hardware manufacturingElectronics design firms, R&D labs, manufacturing

Both roles typically require similar educational backgrounds and are used in hardware-focused industries. The Intern Hardware Integration Engineer emphasizes system integration and testing, while the Intern Electronics Engineer focuses more on circuit design and electronic components. Understanding these differences helps candidates choose the right internship based on their skills and career goals.

Intern Hardware Integration Engineer jobs near you
Infographic showing various Intern Hardware Integration Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 9% Internship, 82% Full Time, and 9% Contract. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution.

AI Engineer Intern

ShyftLabs

Toronto, ON • Hybrid

CA$20 - CA$30/hr

Internship

Re-posted 3 days ago

Job description

About ShyftLabs

At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 companies unlock growth through innovative digital solutions that drive real business impact. With teams across Canada, the U.S., and India, we're growing quickly and looking for curious, motivated individuals who are excited to learn, build, and solve meaningful problems with technology.

About Continuum

Continuum is an enterprise AI agent execution and control platform designed to help teams build, run, and deploy reliable agentic applications. It provides agent orchestration, multi-model routing, persistent memory, tool integration, durable workflows, governance, guardrails, evaluation, and observability.

We are looking for an AI Engineer Intern interested in building production-ready AI agents and applications. You will contribute to the Continuum platform while also using it to build agentic applications for real enterprise use cases.

This is a hands-on engineering role. You will work across agent orchestration, memory systems, model optimization, retrieval, tools, guardrails, evaluation, and application development.

What You'll Be Doing

  • Build and improve agent orchestration and multi-agent workflows.

  • Develop agentic applications for enterprise use cases using Continuum.

  • Work with different commercial and open-source models, including OpenAI, Anthropic, Gemini, Llama, Qwen, Mistral, and others.

  • Improve intelligent model routing based on task complexity, quality, latency, and cost.

  • Build persistent memory and state-management capabilities for long-running agent workflows.

  • Develop tool-calling functionality and integrations with APIs, databases, and enterprise systems.

  • Work with MCP servers and function tools to connect agents with external services.

  • Design context-engineering and retrieval pipelines using vector and graph databases.

  • Implement AI guardrails for safety, security, access control, data privacy, and policy enforcement.

  • Create evaluation pipelines to measure accuracy, groundedness, hallucination, tool usage, workflow completion, latency, and cost.

  • Improve the observability and traceability of agent decisions, tool calls, and workflow execution.

  • Optimize prompts, model usage, token consumption, response time, and infrastructure costs.

  • Build APIs, backend services, and user-facing prototypes for agentic applications.

  • Write clean, reusable, well-tested, and documented Python code.

  • Contribute to Continuum's open-source codebase, examples, documentation, and developer experience.

What We Are Looking For

  • Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.

  • Strong programming skills in Python.

  • Good understanding of machine learning, natural language processing, and LLM fundamentals.

  • Experience building at least one LLM-powered or agentic application.

  • Familiarity with prompt engineering, embeddings, RAG, tool calling, and structured outputs.

  • Experience working with APIs, Git, databases, and standard software engineering practices.

  • Ability to research complex technical problems, experiment with different approaches, and clearly communicate results.

  • Strong interest in building reliable AI systems, not just basic LLM demos

Nice to Have

  • Experience with agent frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI, or similar technologies.

  • Familiarity with OpenAI, Anthropic, Gemini, AWS Bedrock, or open-source models.

  • Experience with vector databases such as Milvus, Pinecone, Weaviate, or Chroma.

  • Experience with graph databases such as Neo4j.

  • Knowledge of PostgreSQL, Redis, Docker, Kubernetes, or cloud infrastructure.

  • Familiarity with AI observability and evaluation tools such as Langfuse.

  • Understanding of multi-tenancy, identity management, authorization, or enterprise security.

  • Experience with model routing, inference optimization, prompt compression, or cost optimization.

  • Contributions to open-source AI projects, research, hackathons, or technically strong personal projects.

Hourly Pay
  • $20 - $30/Hr (CAD)
Why You'll Love Working at ShyftLabs
 
At ShyftLabs, your work matters. We're a growing data product company making a big impact with Fortune 500 clients and as we scale, you'll have the chance to shape solutions, influence strategy, and grow your career alongside us.
 
Here's what you can expect when you join our team:
-Hybrid Flexibility: Enjoy a hybrid model with three days per week in our Toronto office.
-Downtown Toronto Office: Work in the heart of the city.
-Growth & Learning: Access extensive learning and development resources to keep leveling up your skills.
 
Inclusion at ShyftLabs
 
We're building something big, and we want you on the journey with us. If you're ready to use data and innovation to make an impact, apply today and let's grow together.
 
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we'll be happy to support you.
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