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Remote Embedded System Design Jobs in Toronto, ON

US East/Canada (Remote) Role Overview: We're looking for a Full Stack Software Developer to design ... Develop distributed systems leveraging event-driven architectures, messaging systems (Kafka, Pub ...

Lead Product Engineer

Toronto, ON · Remote

CA$170K - CA$220K/yr

This role is accountable for ensuring consistency in system design, engineering standards, and ... This is a fully remote position that offers a competitive salary range of $170,000 to $220,000 USD ...

The SoC Chiplet Design Lead will drive the design and development of advanced System-on-Chip (SoC ... remote work within North America on a case-by-case basis. We welcome candidates at various ...

We are building agentic AI systems that reason, decide, and act inside real business ... We intentionally design internships at NexScale as a talent pipeline for long-term contributors.

The FDE will be temporarily embedded within delivery teams to directly drive the modernization of ... Job Location - Remote (USA & Canada) The expected base salary for this position is: CAD 145000/ USD ...

Senior Software Engineer, Integrations

Toronto, ON · On-site +1

CA$120K - CA$140K/yr

Python & Design Mastery: You are highly proficient in Python and possess strong system design ... Remote friendly position with occasional office time as needed. Ability to work abroad for up to 2 ...

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Remote Embedded System Design information

What are the key skills and qualifications needed to thrive as a Remote Embedded System Designer, and why are they important?

To thrive as a Remote Embedded System Designer, you need a solid background in electronics engineering, embedded programming (such as C/C++), and experience with microcontrollers or FPGA architectures, typically backed by a relevant degree. Familiarity with tools like MATLAB, Simulink, Altium Designer, and version control systems, along with certifications like Certified Embedded Systems Engineer, is often required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help professionals excel in distributed teams. These capabilities ensure the efficient development, testing, and deployment of reliable embedded systems in a remote work environment.

What are some common challenges faced by remote embedded system design engineers, and how can they be addressed?

Remote embedded system design engineers often encounter challenges such as limited access to physical hardware for testing, communication barriers with cross-functional teams, and coordinating firmware updates across different environments. These can be addressed by utilizing remote access tools, simulation environments, and efficient project management platforms to facilitate collaboration and testing. Regular virtual meetings and clear documentation also help ensure alignment with hardware teams and smooth integration throughout the project lifecycle.

What is the difference between Remote Embedded System Design vs Remote Firmware Developer?

AspectRemote Embedded System DesignRemote Firmware Developer
CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related fields; knowledge of hardware and software integrationBachelor's in Computer Science, Electrical Engineering, or related; proficiency in programming languages like C/C++
Work EnvironmentDesigning hardware-software systems, often collaborating with hardware teamsWriting and testing firmware code for embedded devices
Industry UsageElectronics, IoT, automotive, aerospaceConsumer electronics, IoT, medical devices

Remote Embedded System Design focuses on creating integrated hardware and software solutions, while Remote Firmware Developer primarily writes and tests firmware code. Both roles require technical skills but differ in their core responsibilities and work focus.

What is remote embedded system design?

Remote embedded system design involves creating and developing embedded systems—specialized computing hardware and software that perform dedicated functions—while working from a location outside of the traditional office or laboratory. Professionals in this field use remote collaboration tools to design, develop, test, and troubleshoot embedded hardware and firmware for devices like IoT gadgets, medical devices, automotive systems, and industrial controllers. This remote approach allows teams to work together across different geographic locations, leveraging cloud-based development environments and hardware simulation tools to ensure seamless integration and functionality.
What job categories do people searching Remote Embedded System Design jobs in Toronto, ON look for? The top searched job categories for Remote Embedded System Design jobs in Toronto, ON are:
Full Stack Developer

Full Stack Developer

Quantiphi, Inc.

Toronto, ON • Remote

Other

Posted 15 days ago


Job description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi:

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations.

Since our founding in 2013, Quantiphi has tackled some of the world's most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology's sake.

Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.

We've been recognized with:

  • 17x Google Cloud Partner of the Year awards in the last 8 years.

  • 3x AWS AI/ML award wins.

  • 3x NVIDIA Partner of the Year titles.

  • 2x Snowflake Partner of the Year awards.

  • We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.

  • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.

  • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation.

Your next big opportunity starts here!

For more details, visit: Website or LinkedIn Page.

Role: Full Stack Software Developer

Experience Level: 5-10 yrs

Work Location: US East/Canada (Remote)

Role Overview:

We're looking for a Full Stack Software Developer to design and build scalable, high-performance applications powering next-generation Agentic AI platforms.

In this role, you'll lead the development of API-first, distributed systems and contribute across the stack from backend microservices to modern frontend experiences. You'll partner closely with AI/ML teams to integrate LLM-driven workflows, RAG architectures, and multi-agent systems into production-grade applications.

This is a hands-on engineering role with strong ownership across architecture, developer experience, and system reliability.

Key Responsibilities:

  • Design and build scalable full stack applications using React, TypeScript, and Next.js on the frontend and Python (FastAPI) and/or Node.js on the backend

  • Architect and maintain RESTful APIs and microservices with strong versioning, backward compatibility, and API-first design principles

  • Develop distributed systems leveraging event-driven architectures, messaging systems (Kafka, Pub/Sub), and asynchronous processing

  • Build and integrate LLM-powered applications, including RAG pipelines, agentic workflows, and tool-calling frameworks (LangChain, LangGraph)

  • Collaborate with AI/ML teams to integrate model serving platforms and orchestrate multi-agent systems

  • Implement real-time capabilities using WebSockets, Server-Sent Events (SSE), or streaming frameworks

  • Ensure high-quality engineering standards across testing (TDD/BDD), CI/CD pipelines, and infrastructure-as-code

  • Deploy and manage cloud-native applications on GCP and/or Azure, leveraging Docker and Kubernetes

  • Champion observability and monitoring using logging, metrics, and tracing (e.g., OpenTelemetry)

  • Build developer-friendly tools including SDKs, documentation, and API portals

  • Mentor engineers and contribute to system design, architecture reviews, and best practices

Basic Qualifications:

  • 5-10 years of experience in full stack software development

  • Strong expertise in:

  • Frontend: React, TypeScript, Next.js

  • Backend: Python (FastAPI) and/or Node.js

  • Proven experience building REST APIs, microservices, and distributed systems

  • Hands-on experience with PostgreSQL and data modeling

  • Experience with Docker, Kubernetes, and cloud platforms (GCP and/or Azure)

  • Strong knowledge of CI/CD pipelines (GitHub Actions or similar)

  • Experience with API lifecycle management (authentication, versioning, rate limiting)

  • Solid understanding of system design, scalability, and performance optimization

  • Experience integrating or building applications with LLMs, RAG, or Agentic AI systems

  • Familiarity with LangChain, LangGraph, or similar frameworks

Other Qualifications (OQs):

  • Experience with:

    • LlamaIndex, advanced LangGraph workflows, or multi-agent orchestration

    • Prompt engineering and context engineering

    • Model Context Protocol (MCP) or agent interoperability frameworks

  • Exposure to GraphQL, gRPC, and advanced API design patterns

  • Experience with event-driven systems (Kafka, Pub/Sub, Redis)

  • Knowledge of vector databases (pgvector, Pinecone, Milvus)

  • Experience building real-time/streaming UIs (WebSockets, SSE)

  • Understanding of OAuth 2.0, OIDC, RBAC for secure systems

  • Strong testing practices (TDD, Playwright, contract testing)

  • Experience with OpenTelemetry or similar observability tooling

  • Familiarity with Domain-Driven Design (DDD) and API-first architecture

Healthcare Domain Experience (Nice to Have):

  • Experience working with FHIR R4, HL7 v2, or SMART on FHIR

  • Integration with EHR systems (e.g., Epic)

  • Understanding of HIPAA compliance and healthcare data privacy

  • Exposure to clinical workflows, CDS Hooks, or patient-facing applications

  • Experience building clinical decision support systems or healthcare interoperability solutions

What's in it for YOU at Quantiphi:

  • Make an impact at one of the world's fastest-growing AI-first digital engineering companies.

  • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.

  • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.

  • Stay ahead of the curve immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!