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Added 1 min ago
Associate Director - Lead Application Support Specialist, GED Support
Royal Bank of Canada
Toronto, ON
Full-time
As a Application Support Engineer for our Quantitative Investment Services, you'll take ownership of the reliability and performance of mission-critical trading platforms. This is more than…
Added 16 mins ago
Senior Software Engineer in Test
Okta
Toronto, ON
$118,000 to $162,000 CAD / year
Full-time
The Senior Software Development Engineer in Test Opportunity
Added 16 mins ago
AV Service Engineer - Control Systems & Device Integration
Evertz
Burlington, ON
Full-time
Evertz AV is looking for a Service Engineer to join our AV Service team with a specific focus on Control System customization and deployment with a specific focus on VUE, our…
Added 17 mins ago
Senior Security Engineer - Cloud Security
PagerDuty
Toronto, ON
Senior Security Engineer - Cloud Security (Platform Engineering, Kubernetes & Identity)
Added 31 mins ago
Staff Engineer, AI Security
EQ Bank | Canada's Challenger Bank
Toronto, ON
Full-time
7-9 years of experience in cyber security, software engineering, cloud engineering, or platform engineering, including a minimum of 4 years in a cyber security role.
Added 31 mins ago
SQL Developer / Data Engineer
TD
Toronto, ON
Full-time
As a Senior SQL Developer / Data Engineer you will support and evolve a business-critical reporting and data platform used across the Treasury and Balance Sheet Management department…
Added 31 mins ago
Quality Engineer Manager, TD Securities
TD
Toronto, ON
Full-time
Work with partners, to ensure quality is built in. Coaches QE practitioners across Platform teams.
Added 47 mins ago
Technology Developer
Purolator
ON · Mississauga, ON
This role will build and maintain the backend services behind our high-volume logistics and tracking platform. This critical service feeds systems where correctness, throughput, and…
Added 1 hour ago
Senior Data Engineer
AGLC
AB · Edmonton, AB
Full-time
…innovative digital services. We are looking for a Senior Data Engineer to help shape the next evolution of our data ecosystem and lead the design of modern, scalable analytics platforms…
Added 1 hour ago
Sr Software Development Engineer VNDLY
Workday
Toronto, ON · Greater Toronto Area, Canada
Full-time
…world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on…
Added 1 hour ago
Delivery Engineer, Operations – ALTO project / Cadence
SYSTRA Canada
Montreal, QC
Full-time
We use AI-enabled tools in our recruitment platform (iCIMS) for tasks like resume parsing and candidate matching. These tools do not make hiring decisions; all applications are reviewed by…
Added 1 hour ago
Technology Developer
Purolator Inc.
Mississauga, ON
Full-time
This role will build and maintain the backend services behind our high-volume logistics and tracking platform. This critical service feeds systems where correctness, throughput, and…
Added 1 hour ago
Senior Java Software Engineer
Genpact
Montreal, QC
Full-time
· Work with our existing technology stack in (Java, C++ Linux, Unix, open-source platform, and SOA as well as new technology for our next generation solution
Added 1 hour ago
Senior GoLang Engineer
Aarista Technologies
Vancouver, BC
Full-time
We're looking for a Full Stack Software Engineer who is equally comfortable architecting robust backend services in GoLang and building rich, data-heavy interfaces in React. This is a…
Added 1 hour ago
Technical Leader
Martell Ventures
Waterloo, ON
Winly is an AI-powered sales platform that helps teams turn digital conversations into qualified opportunities and booked calls. It is a Martell Ventures portfolio company with the ambition…
Added 1 hour ago
Principal Software Engineer- React Native
AI Interviews
Toronto, ON · Greater Toronto Area, Canada
Full-time
We are seeking a Senior/Lead React Native Engineer with 8+ years of mobile engineering and 5+ years of production React Native experience.Strong expertise in React Native 0.76+, New…
Added 1 hour ago
Agent & DevOps Platform Engineer
Zodiac Solutions, Inc
Toronto, ON
Full-time
3–5+ years of hands-on CI/CD, cloud, and platform engineering experience in enterprise environments
Added 1 hour ago
Senior Infrastructure Engineer
Upstart
Canada
…technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions…
Added 2 hours ago
Senior DevOps Engineer - Digital Platforms
Four Seasons Hotels and Resorts
Toronto, ON · Four Seasons Corporate Headquarters Toronto
Full-time
The Senior DevOps Engineer - Digital Platforms is a senior, hands-on technical role accountable for advancing the reliability, scalability, security, performance, and operational maturity…
Added 2 hours ago
Staff Backend Engineer - Digital Credentials
Okta
Toronto, ON
$160,000 to $220,000 CAD / year
Full-time
To address this massive need, our focus is on building a Verifiable Digital Credentials (VDCs) platform to power this new ecosystem. VDCs are reusable digital records that prove identity,…
Added 2 hours ago
Software Engineer: Product Quality
Fiscal.ai
Remote, Canada
Full-time · Remote
Fiscal.ai is a leading research and data platform built for capital markets professionals. Combining a high-performance research Terminal with a modern, near-real-time fundamentals API and…
Added 3 hours ago
Staff Data Scientist, Applied ML
Jobber
Remote, Canada
Full-time · Remote
…representation learning, transformer architectures, and ranking, and engineer them to serve reliably in real time and at scale inside Jobber's…
Added 3 hours ago
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
Full-time
…digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem. In this…
Added 3 hours ago
Software Engineer – Messaging & Async Platform Infrastructure
Deel
Canada
Full-time
We are looking for a Software Engineer to join our Infrastructure – Messaging & Async Platform team, focused on building and scaling our messaging and asynchronous communication platform.
Added 3 hours ago
Senior Data Engineer
RBC
Vancouver, BC
Full-time
…digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem. In this…

Vertage

Systems Engineer – End-to-End Software Diagnostics & Observability

Ottawa, ON, Canada
Kanata, ON, Canada

Job type: Contract
Apply by: Oct 29, 2026
Experience: 3 to 6 years of experience in Systems Engineering, AI/ML Engineering, Embedded Software, Cloud Engineering, or related technical domains.
Posting language: English
Posted: Sep 29, 2026

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Original job description

Job title: Systems Engineer – End-to-End Software Diagnostics & Observability

Location: ON- Kanata (Hybrid – 4 Days Onsite per Week)

Duration: 12+ Months

About the Role

Ford Motor Company is transforming the future of mobility through software-defined, connected, and intelligent vehicles. As part of Ford's End-to-End Software Diagnostics & Observability initiative, we are building next-generation AI-powered diagnostic solutions that help engineering, diagnostics, and service teams rapidly identify, analyze, and resolve complex vehicle software and electronics issues.

We are seeking a Systems Engineer – End-to-End Software Diagnostics & Observability to support the development of intelligent diagnostic workflows that integrate embedded vehicle systems, cloud platforms, observability tools, and advanced AI/ML technologies. This role is ideal for engineers passionate about AI, intelligent systems, diagnostics, and software-defined vehicles.

Key Responsibilities

Define and manage system-level requirements, interfaces, and workflows for AI-enabled vehicle diagnostics platforms.
Translate business, service, and engineering needs into technical requirements and functional specifications.
Support the development of AI-powered diagnostic capabilities for fault detection, root cause analysis, issue triage, and guided repair recommendations.
Collaborate with embedded software, cloud, AI/ML, data engineering, and product teams to deliver scalable diagnostic solutions.
Design and refine diagnostic evidence collection methods utilizing DTCs, PIDs, Freeze Frame data, vehicle logs, traces, and telemetry.
Support AI-driven capabilities including knowledge retrieval, intelligent reasoning, decision support, workflow orchestration, and case intake automation.
Participate in system architecture design, integration activities, testing, validation, and deployment efforts.
Define observability requirements including logging, monitoring, metrics, dashboards, alerts, tracing, and escalation workflows.
Evaluate AI system performance for accuracy, traceability, explainability, and operational effectiveness.
Assist with cloud-native deployments and integration of containerized AI solutions within Ford-managed environments.
Conduct root cause analysis and troubleshoot issues spanning embedded systems, cloud services, and AI applications.
Communicate technical recommendations, trade-offs, and risks to stakeholders, leadership, and cross-functional teams.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Artificial Intelligence, Machine Learning, Data Science, Robotics, or a related discipline.
3 to 6 years of experience in Systems Engineering, AI/ML Engineering, Embedded Software, Cloud Engineering, or related technical domains.
Strong understanding of systems engineering principles, software development lifecycle (SDLC), and systems integration.
Strong proficiency in Python development.
Familiarity with machine learning concepts, Large Language Models (LLMs), retrieval-augmented generation (RAG), inference systems, embeddings, ranking models, and reasoning workflows.
Understanding of APIs, Git-based development, software architecture, and containerized application environments.
Experience gathering requirements, defining workflows, and translating business needs into technical specifications.
Excellent analytical, problem-solving, documentation, and communication skills.
Demonstrated experience through professional work, internships, academic research, or projects involving AI/ML-enabled systems.

Preferred Qualifications

Experience with AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, LangChain, or similar technologies.
Hands-on experience with chatbots, copilots, AI assistants, semantic search, vector databases, agent-based systems, or decision-support platforms.
Exposure to Google Cloud Platform (GCP), Vertex AI, BigQuery, Docker, GitHub, and CI/CD pipelines.
Knowledge of observability tools such as Dynatrace, Grafana, OpenTelemetry, or similar platforms.
Familiarity with embedded vehicle systems, automotive diagnostics, connected vehicle technologies, Electronic Control Modules (ECMs), DTCs, PIDs, and vehicle communication networks.
Understanding of distributed systems, cloud-native architectures, and platform integrations.
Experience evaluating AI systems for explainability, confidence scoring, policy compliance, and grounding.
Ability to thrive in an Agile, collaborative, and highly technical environment.

Required Technical Skills

Systems Engineering
Systems Analysis
Systems Architecture
Software Systems
SDLC (Software Development Life Cycle)
Product Management
Python
AI/ML Fundamentals
Cloud Platforms (GCP Preferred)
API Integration
Requirements Engineering
Root Cause Analysis
Technical Documentation

Preferred Technical Skills

Artificial Intelligence & Expert Systems
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
LangChain
PyTorch
TensorFlow
Vertex AI
BigQuery
Java
Docker
GitHub
CI/CD
Dynatrace
Grafana
Embedded Vehicle Diagnostics

Work Arrangement: Hybrid (4 days onsite per week in I)

Education: Bachelor's Degree Required | Master's Degree Preferred

Experience Level: Mid-Level (3-6 Years)

Industry: Automotive Technology, AI/ML, Embedded Systems, Cloud Engineering

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More about this job

Responsibilities

Define system requirements, interfaces, workflows, and observability for AI-enabled vehicle diagnostics, and support the development of capabilities for fault detection, root cause analysis, issue triage, and repair recommendations. Collaborate across embedded, cloud, AI/ML, and data teams on architecture, integration, testing, deployment, troubleshooting, and evaluation of diagnostic solutions.

Requirements

A bachelor's or master's degree in a relevant technical discipline and 3–6 years of experience in systems engineering, AI/ML, embedded software, cloud engineering, or a related field are required. Candidates should have strong systems engineering and Python skills, familiarity with AI/ML and LLM concepts, and experience translating requirements into technical specifications; automotive diagnostics, cloud, and observability experience are preferred.

Skills

Systems Engineering
Systems Analysis
Systems Architecture
Python
Artificial Intelligence
Machine Learning
Large Language Models
Retrieval-Augmented Generation
Cloud Platforms
Google Cloud Platform
API Integration
Requirements Engineering
Root Cause Analysis
Automotive Diagnostics
Observability
Docker

Visa sponsorship

Not detected in the job text

Keywords

Systems Engineering
Systems Analysis
Systems Architecture
Python
Artificial Intelligence
Machine Learning
Large Language Models
Retrieval-Augmented Generation
LangChain
PyTorch
TensorFlow
Google Cloud Platform
Vertex AI
BigQuery
Docker
GitHub
CI/CD
API Integration
Observability
Dynatrace
Grafana
OpenTelemetry
Embedded Systems
Automotive Diagnostics
Diagnostic Trouble Codes
Parameter Identifiers
Vehicle Telemetry
Requirements Engineering
Root Cause Analysis
Agile

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