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Siemens

Quality Assurance Engineer - Physical AI hub, Kitchener

Kitchener, ON, Canada

Job type: Full-time
Apply by: Oct 31, 2026
Experience: 3+ years of strong experience building automated tests for complex software systems, including API, integration, system, and end-to-end test layers.
Posting language: English
Posted: Oct 1, 2026

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Original job description

Change the future with us.

We are looking for dedicated and talented people who solve ever-changing challenges, customer needs, and questions from colleagues with clever concepts and creativity. We embrace change and work with curious minds re-inventing the future of work. Join us and let us focus together on what’s truly important: making lives better with new ideas and the latest technology around the world.

About the role:

Are you passionate about making complex robotics and AI systems testable, repeatable, and safe to change? Do you enjoy building validation infrastructure that can run at the push of a button, produce traceable evidence, and turn failures into actionable follow-up work?

We are seeking a QA / Test Automation Engineer to help validate the Physical AI Runtime across orchestration, harnessing, edge deployment, traceability, and hardware-in-the-loop scenarios. This engineer will build scalable test automation and validation workflows for runtime behavior, AI harness policies, agentic recovery, end-to-end robot tasks, requirements coverage, evidence capture, and release-readiness decisions.

What you will do:

Build automated test suites for runtime workflows, APIs, harness policies, agentic recovery, and operator handover.
Design E2E and HIL validation scenarios for robot tasks, edge deployment, diagnostics, tracing, and data capture.
Build one-click validation workflows that execute scenario suites, collect logs, traces, video, robot state, requirements coverage, and produce reviewable release evidence.
Build agent-assisted test workflows that assemble test context, execute validation scenarios, summarize failures, generate defect reports, and recommend follow-up investigations.
Create test fixtures, simulators, fakes, controlled datasets, and lab procedures that make failures reproducible.
Validate safety-envelope checks, fallback paths, retry behavior, exception handling, and completion-gating logic.
Integrate test evidence into CI/CD release gates, dashboards, artifacts, and issue triage workflows.
Partner with engineering teams to turn requirements, architecture contracts, and acceptance criteria into automated checks with traceable pass/fail evidence.
Analyze failures using logs, traces, video, sensor data, robot state, and runtime metadata.

What you will bring:

Bachelor's or Master's degree in Computer Science, Software Engineering, Robotics, Electrical Engineering, Mechatronics, Automation Engineering, or a related field.
3+ years of strong experience building automated tests for complex software systems, including API, integration, system, and end-to-end test layers.
Strong programming skills in Python, TypeScript, C++, or another language used for test infrastructure and automation.
Experience with CI/CD, test orchestration, test fixtures, test data management, reproducible environments, artifact capture, and failure triage.
Ability to design tests for event-driven workflows, distributed services, asynchronous behavior, retries, timeouts, and state transitions.
Experience validating logs, traces, metrics, audit records, and other evidence needed to reproduce failures.
Experience linking requirements, acceptance criteria, test cases, execution results, defects, and release gates in a traceable validation workflow.
Practical understanding of hardware-in-the-loop testing, simulation, emulation, fakes, mocks, or controlled lab test setups.
Ability to define acceptance criteria with engineers and product owners and translate them into maintainable automated checks.
Strong problem-solving skills for isolating failures across application logic, infrastructure, hardware, sensors, and data contracts.

What sets you apart:

Experience testing robotics, industrial automation, machine vision, edge compute, or cyber-physical systems.
Experience with agentic AI, nondeterministic model behavior, model evaluation, prompt or policy regression, or AI-assisted workflow validation.
Experience with test automation frameworks such as PyTest, Robot Framework, Playwright, Selenium, CI/CD test runners, simulation frameworks, or HIL test orchestration tools.
Experience building automated defect reports, failure summaries, trace packages, requirements coverage reports, or release-readiness dashboards.
Knowledge of HIL test benches, robot simulators, camera fixtures, PLC or controller test environments, and lab automation.
Experience testing safety envelopes, validation policies, operator handover, fallback paths, or recovery logic.
Familiarity with traceability requirements, audit evidence, release gates, and customer-facing quality metrics.
Ability to build useful tests for ambiguous real-world behavior, not only deterministic API responses.
Strong judgment about balancing test coverage, execution time, maintainability, and release confidence.

Work environment:

This role includes hands-on testing with robot cells, cameras, edge devices, HIL setups, and prototype lab infrastructure.
Hybrid work is supported, with on-site presence expected for lab automation, integration testing, failure reproduction, and release validation

Why join us?

Impact: Build the founding team and platform capability for a strategic Physical AI initiative in Canada.
Innovation: Work at the intersection of robotics, AI, industrial software, workflow orchestration, and platform engineering.
Leadership: Shape the direction, culture, and operating model of a new strategic engineering organization.
Collaboration: Partner with leading global research, product, and engineering teams.
Growth: Help define how Physical AI platform capabilities scale from data foundations to runtime-enabled industrial applications.

Salary is commensurate with experience, and ranges between $ 90,000 CAD - $ 140,000 CAD, excluding bonus and benefits. In addition to base salary, this role includes eligibility for an annual discretionary bonus of 10% of base salary, based on Company performance metrics. 

Why you’ll love working for Siemens!

Freedom and a healthy work- life balance– Embrace our flexible work environment with flex hours, telecommuting and digital workspaces.
Solve the world’s most significant problems – Be part of exciting and innovative projects.
Engaging, challenging, and fast evolving, cutting edge technological environment.
Opportunities to advance your career and mentorship programs on a local and global scale.
Competitive total rewards package.
Profit sharing available.
Rewarding vacation entitlement with the opportunity to buy and sell your vacation depending on your lifestyle.
Contribute to our social responsibility initiatives focused on access to education, access to technology and sustaining communities and make a positive impact on the community.
Participate in our celebrations, social events and offsite business events.
Opportunities to contribute your innovative ideas and get paid for them!
Employee perks and discounts.
Diversity and inclusivity focused.

Siemens is proud to be an eight-time award winner of Canada’s Top 100 Employers, Canada’s Greenest Employers 2025 and Canada’s Top Employers for Young People 2025.

About Us.

We share our ideas and champion the people behind them.

Siemens Canada is a leading technology company focused on industry, infrastructure, mobility and healthcare. The company’s purpose is to create technology with purpose, transforming the everyday, for everyone, since 1912. By combining the real and the digital worlds, Siemens empowers its customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more liveable, and transportation more sustainable. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

In fiscal 2024, which ended September 30, 2024, Siemens Canada had revenues of approx. $2.2 billion CAD. The company has approximately 4,400 employees from coast-to-coast and 37 office and production facilities across Canada.

To learn more about Siemens Canada, visit our website at www.siemens.ca

While we appreciate all applications we receive, we advise that only candidates under consideration will be contacted.

Hybrid

Canada

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More about this job

Responsibilities

Build automated validation suites and one-click workflows for Physical AI runtime behavior, robotics tasks, edge deployments, and hardware-in-the-loop scenarios. Capture traceable test evidence, analyze failures, and integrate results into release gates, dashboards, and defect workflows.

Requirements

A bachelor's or master's degree in a relevant technical field and at least three years of experience building automated tests for complex software systems are required. Candidates should have strong programming and CI/CD skills, experience with test infrastructure and traceable evidence, and practical knowledge of simulation, hardware-in-the-loop testing, or controlled lab setups.

Skills

Test Automation
Python
TypeScript
C++
CI/CD
Robotics Testing
Hardware-In-The-Loop Testing
End-To-End Testing
API Testing
Simulation
Test Orchestration
Failure Triage
Requirements Traceability
AI Workflow Validation
Safety Validation
Log And Trace Analysis

Benefits

Annual Discretionary Bonus
Flexible Work Hours
Telecommuting
Career Advancement Opportunities
Mentorship Programs
Profit Sharing
Vacation Purchase And Sale Options
Social Responsibility Initiatives
Employee Events
Employee Perks And Discounts

Visa sponsorship

Not detected in the job text

Keywords

Physical AI
Robotics
Test Automation
Python
TypeScript
C++
CI/CD
Hardware-In-The-Loop
End-To-End Testing
API Testing
PyTest
Robot Framework
Playwright
Selenium
Robot Simulation
Edge Deployment
Agentic AI
Model Evaluation
Prompt Regression
Test Orchestration
Test Fixtures
Controlled Datasets
Requirements Traceability
Release Gates
Failure Triage
Safety Envelopes
Event-Driven Workflows
Distributed Services
Logs And Traces
Industrial Automation

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