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Added 12 mins ago
Power Electronics Controls Designer
Schneider Electric
Richmond, BC
$91,200 to $136,800 CAD / year
Part-time
Join Schneider Electric's Solar & Storage business as a Senior Energy Optimization & Controls Engineer.
Added 12 mins ago
Artificial Intelligence Engineer
Gala Solutions
Montreal, QC
Contract
Practical OIDC / OAuth 2.0: token validation, JWKS, client-credentials flows, and claim and audience handling.
Added 12 mins ago
Senior AI Engineer
Amyantek
Toronto, ON · Greater Toronto Area, Canada
Contract
Senior AI Engineer – Production AI / LLM Applications
Added 27 mins ago
System Engineering - Platforms
General Dynamics Missions System International
Ottawa, ON
Full-time
We are seeking a Platforms Systems Engineer to provide technical leadership for the development, integration, and validation of vehicle-level communications systems. The Platforms Team…
Added 42 mins ago
System Engineering - Platforms
General Dynamics Mission Systems–Canada
Ottawa, ON
Full-time
We are seeking a Platforms Systems Engineer to provide technical leadership for the development, integration, and validation of vehicle-level communications systems. The Platforms Team…
Added 42 mins ago
SAS Technical Lead
Yochana
Markham, ON
Full-time
…migration teams through discovery, assessment, conversion, validation, and cutover…
Added 42 mins ago
System Engineering - Platforms
General Dynamics Mission Systems–Canada
Ottawa, ON
Full-time
We are seeking a Platforms Systems Engineer to provide technical leadership for the development, integration, and validation of vehicle-level communications systems. The Platforms Team…
Added 1 hour ago
Senior Data Engineer – Python
Citi
Mississauga, ON
Full-time
We are seeking a skilled and experienced Senior Data Engineer with strong Python expertise to join our Engineering team. The ideal candidate is passionate about building robust, scalable…
Added 1 hour ago
Ingénieur de Validation de Composant/ Product Validation Engineer - New Grad
Ciena
Quebec, QC
$55,700 to $88,900 CAD / year
Full-time
L’équipe de validation des composants photoniques haute vitesse de Ciena contribue au développement et à la qualification de composants optiques de pointe utilisés dans des produits de…
Added 1 hour ago
RPA Platform Admin / Platform Engineer
BMO
Toronto, ON · SCC
Full-time
Support release management, version control, rollback, and deployment validation activities.
Added 1 hour ago
QA Engineer – AI/ML | Banking, Payments & FinTech
Apexon
Toronto, ON
Full-time
We are looking for a QA Engineer with hands-on experience in AI/ML testing to validate AI/ML-powered applications and solutions. The ideal candidate will have strong QA fundamentals,…
Added 1 hour ago
Guidewire QA
Apptoza Inc.
Toronto, ON
Contract
Guidewire QA Engineer – Functional Testing (PC, BC & CC)
Added 1 hour ago
Designer, Development (Service)
Husky Technologies
Bolton, ON
Full-time
The service team is currently seeking a Mechanical engineer/designer to specialize in resolving service issues.
Added 1 hour ago
ERP Business Analyst
Husky Technologies
Bolton, ON
Full-time
Develop test plans, coordinate testing activities, execute system validation, and support business users during User Acceptance Testing (UAT).
Added 1 hour ago
Senior Mechanical Engineer
DarkVision
North Vancouver, BC
Full-time
DarkVision, part of Koch Engineered Solutions, is seeking a talented and experienced Senior Mechanical Engineer to join our team and contribute to the development of our state-of-the-art…
Added 1 hour ago
Automations Engineer
Cullerton Group
ON · Ontario, Canada
Contract
Launch, retrofit, commissioning, validation, or production support experience
Added 1 hour ago
Product Development Engineer|
Husky Technologies
Bolton, ON
Full-time
Our Development Engineering team is looking to hire an experienced Product Development Engineer. The successful candidate will lead the technical development of packaging products working…
Added 1 hour ago
Applications Engineer
Husky Technologies
Bolton, ON
Full-time
Lead end-to-end innovation and engineering initiatives, from concept ideation and prototyping through proof-of-concept validation, product development, and commercialization.
Added 1 hour ago
Senior QA Automation Engineer – Java / REST Assured
K&K Global Talent Solutions INC.
ON · Ontario, Canada
Full-time
We are seeking a Senior QA Automation Engineer with 5–10 years of experience in quality engineering and test automation, with strong hands-on expertise in Java, REST Assured, Selenium, API…
Added 1 hour ago
Artificial Intelligence Engineer
Hays
Halifax, NS
Full-time
Team Lead, AI Engineering / Senior AI Engineer
Added 1 hour ago
Mechatronics Engineer (8-month Co-op/Internship)
AbCellera
Vancouver, BC
$3,400 to $3,800 CAD / month
Added 2 hours ago
AWS Data Engineer
Apptoza Inc.
Toronto, ON
Contract
AWS Data Engineer – Banking / Financial Services
Added 2 hours ago
Lead Data Engineer / Data Platform Lead
Apexon
Toronto, ON
Full-time
Ensure platform security by applying best practices around authentication, authorization (RBAC), input validation, and safe error handling, aligned with OWASP Top 10.
Added 2 hours ago
Data Engineer
emergiTEL
Toronto, ON · Greater Toronto Area, Canada
$80 to $90 CAD / hour
Contract
emergiTEL is hiring a Data Engineer for our client in the technology services industry. This role can be either contract or perm.
Added 2 hours ago
QE With Contact Center platforms + Amazon Connect Center
K&K Global Talent Solutions INC.
Toronto, ON
Full-time
Position: Quality Engineer (QE) with Contact Center platforms

LER TechForce

Technical Project Manager

Ottawa, ON, Canada
Kanata, ON, Canada

Job type: Full-time
Apply by: Oct 28, 2026
Posting language: English
Posted: Sep 28, 2026

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Original job description

WHAT YOU WILL BE DOING

At Our Client´s Motor Company, it is believed freedom of movement drives human progress. With their exciting plans for the future of mobility, they have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow´s transportation. Modern vehicles are increasingly software-defined, connected, and intelligent. Delivering a best-in-class ownership and service experience now depends on Our Client´s ability to detect, understand, diagnose, and resolve complex software and electronics issues quickly and accurately. That is why Our Client is investing in an End-to-End Software Diagnostics & Observability initiative focused on transforming how vehicle issues are understood across engineering, diagnostics, and service workflows. We are building state-of-the-art AI-powered Embedded Vehicle Diagnostics capabilities that combine vehicle signals, diagnostics, logs, engineering knowledge, service procedures, and intelligent reasoning to improve case quality, accelerate fault isolation, guide next-best actions, and support scalable human-in-the-loop escalation. This initiative sits at the intersection of embedded systems, cloud services, diagnostics, observability, and AI/ML engineering. Do you want to help define the future of AI-enabled diagnostics for next-generation vehicles?

Our Client´s team is a fast-paced, highly collaborative organization that translates advanced technical strategy into deployable capabilities. If you are passionate about AI/ML, complex systems, embedded software, and solving real-world engineering problems at scale, consider joining our forward-thinking team. As a Systems Engineer - End to End Software Diagnostics & Observability, you will work with a cross-functional team responsible for defining, integrating, and maturing intelligent diagnostic workflows that span embedded vehicle behavior, cloud-based observability, AI reasoning engines, and human support processes. This role is ideal for a highly capable recent graduate or early-career engineer from a top engineering, computer science, or AI/ML program who wants to work on real-world AI systems for software-defined vehicles.

Responsibilities include but are not limited to:

Help define system-level requirements, interfaces, and workflows for Our Client´s End to End Software Diagnostics & Observability initiative.
Support development of AI-powered embedded vehicle diagnostics capabilities that improve issue detection, case intake quality, root-cause isolation, and guided repair.
Work across embedded, cloud, data, and AI/ML domains to connect vehicle diagnostics with intelligent reasoning and observability workflows.
Help translate business, service, and engineering needs into technical requirements for diagnostic systems, AI engines, APIs, workflow orchestration, and support tooling.
Support AI/ML driven capabilities such as case intake assistance, knowledge retrieval, diagnostic reasoning, decision support, validation, and orchestration.
Define and refine requirements for diagnostic evidence collection, including DTCs, PIDs, Freeze Frame data, logs, event traces, module state, and procedural outcomes.
Support design of systems that combine Our Client´s engineering knowledge, diagnostics data, and AI reasoning to isolate likely root causes in embedded vehicle systems.
Participate in evaluation and validation of AI system behavior using diagnostic evidence, service data, engineering content, and observability signals.
Work with internal teams and suppliers to integrate containerized AI solutions into Our Client´s-managed cloud environments and workflow systems.
Help define observability requirements for diagnostic systems, including logs, metrics, traces, dashboards, alerts, and escalation workflows.
Participate in system integration, issue triage, root-cause analysis, and cross-functional technical problem solving.
Support rapid iteration, testing, and deployment of AI-enabled diagnostic capabilities into engineering and non-production environments.
Communicate technical tradeoffs, risks, and recommendations clearly to engineering teams, product teams, and leadership.
Work under the guidance of experienced engineers.

WHAT YOU'LL NEED

Essential:

Systems Development Life Cycle, Software Systems, Systems Engineering, Product Management, Systems Architecture, Systems Analyst.
Software Systems - Understand how an application´s components work together, and help troubleshoot issues across the system.
Systems Analyst - Gather and document user or business requirements, analyze current processes, and translate needs into functional specifications.
Systems Architecture - Understand or help document how systems and components fit together, including integrations, data flows, and technology choices.
Systems Development Life Cycle - Participate in the stages of system delivery, from requirements and design through development, testing, deployment, and maintenance.
Systems Engineering - Help define system requirements and ensure components work together to meet performance, reliability, and operational needs.
Product Management - Help prioritize features, maintain a product backlog or roadmap, and coordinate with stakeholders and development teams.
Bachelor´s or Master´s degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Artificial Intelligence, Machine Learning, Robotics, Data Science, or related field.
3-6 years of experience in AI/ML engineering, embedded software, systems engineering, cloud engineering, or related areas through internships, research, academic projects, or full-time work.
Strong academic foundation in AI/ML engineering with practical familiarity in machine learning, LLMs, retrieval workflows, inference systems, model evaluation, and data pipelines.
Strong proficiency in Python.
Familiarity with AI/ML prototyping and engineering workflows, including training, inference, prompt-based systems, retrieval-augmented workflows, embeddings, ranking, or reasoning pipelines.
Familiarity with software engineering fundamentals, APIs, Git-based development, and containerized application workflows.
Interest in embedded systems, vehicle diagnostics, software-defined vehicles, and intelligent support workflows.
Ability to translate ambiguous problem statements into structured technical requirements and system behavior.
Strong written and verbal communication skills and requirements authoring with the ability to drive high level abstract conversations with leadership.
Demonstrated ability through coursework, research, internships, or projects to build or prototype AI/ML enabled systems.
4 days per week in office.

Preferred:

Python, GCP, Java, Artificial Intelligence & Expert Systems.
Artificial Intelligence & Expert Systems - Understand or contribute to a basic AI or rules-based feature, such as classifying requests or recommending a next step, while recognizing when human review is needed.
GCP - Use Google Cloud services to deploy or support an application, store data, or monitor a cloud-based system.
Python - Write or maintain basic Python scripts for automation, data processing, or application functionality.
Java - Write or maintain Java code for application features, business logic, and error handling.
Education from a highly regarded engineering, computer science, or AI/ML program with strong evidence of technical rigor.
Hands-on experience with LLMs, semantic retrieval, vector search, ranking systems, agent-based workflows, or decision-support systems.
Experience with PyTorch, TensorFlow, scikit-learn, LangChain, Vertex AI, BigQuery, or similar AI/ML and cloud tools.
Experience building chatbots, copilots, AI assistants, search systems, or reasoning systems.
Familiarity with evaluation of AI systems for grounding, confidence, traceability, explainability, and policy compliance.
Familiarity with embedded software systems, electronic control modules, diagnostics, or connected vehicle technologies.
Exposure to DTCs, PIDs, Freeze Frame data, logs, vehicle network data, or diagnostic workflows.
Familiarity with GCP, Docker, GitHub, CI/CD, and observability tools such as Dynatrace or Grafana.
Experience through internships, research, or projects involving distributed systems, platform integration, or cloud-native services.
Ability to work well in a collaborative, agile environment with software, embedded, cloud, AI, and product teams.
Strong curiosity, ownership mindset, and willingness to learn quickly in a technically demanding domain.
Ability to be detail oriented while understanding broader system and product goals.

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More about this job

Responsibilities

Define and refine system requirements, interfaces, and workflows for AI-powered vehicle diagnostics and observability across embedded, cloud, data, and AI/ML systems. Support integration, validation, deployment, issue triage, and cross-functional problem solving for diagnostic capabilities and workflows.

Requirements

A bachelor's or master's degree in a relevant engineering, computer science, AI/ML, or related field is required, along with 3–6 years of relevant experience through work, internships, research, or projects. Candidates should have strong Python and AI/ML foundations, familiarity with software engineering and cloud workflows, and the ability to translate ambiguous needs into technical requirements and communicate effectively.

Skills

Systems Engineering
Systems Architecture
Requirements Analysis
Product Management
Python
Artificial Intelligence
Machine Learning
Large Language Models
Retrieval-Augmented Generation
Embedded Systems
Vehicle Diagnostics
Cloud Engineering
Google Cloud Platform
APIs
Observability

Visa sponsorship

Not detected in the job text

Keywords

Systems Engineering
Systems Architecture
Requirements Analysis
Product Management
Python
Java
Artificial Intelligence
Machine Learning
Large Language Models
Retrieval-Augmented Generation
Semantic Retrieval
Vector Search
PyTorch
TensorFlow
Scikit-Learn
LangChain
Vertex AI
Google Cloud Platform
BigQuery
Docker
Git
CI/CD
APIs
Embedded Software
Vehicle Diagnostics
Diagnostic Trouble Codes
Observability
Grafana
Dynatrace

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