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Added 15 mins ago
E
Senior Java Developer - Core/Infra - Elasticsearch
Elastic
Canada
- Full-time
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic…
Added 15 mins ago
ES
Senior Systems Architect
Euna Solutions
Oakville, ON
- Full-time
The Platform & Enterprise Technology team at Euna Solutions sets the architectural foundation that every product in the portfolio runs on, and this role owns that foundation. As Senior…
Added 29 mins ago
SC
Senior Civil Designer
SYSTRA Canada
Toronto, ON
- Full-time
Manage model standards, data references, file structures, and drawing consistency.
Added 29 mins ago
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Cloud Solution Architect - AI Apps
Microsoft
Vancouver, BC
- Full-time
…application innovation & AI transformation on the Microsoft platform. As part of this role, you will be responsible for technical customer engagements, working with the most challenging and…
Added 1 hour ago
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Software Architect: AEC Platform Data
Autodesk
Quebec, QC
- Full-time
Il s’agit d’un poste de contributeur senior dans un parcours d’architecture bien établi, relevant de l’architecte émérite de l’équipe AEC Data, qui occupe également le poste d’architecte…
Added 1 hour ago
A
Software Architect: AEC Platform Data
Autodesk
Montreal, QC
- Full-time
Il s’agit d’un poste de contributeur senior dans un parcours d’architecture bien établi, relevant de l’architecte émérite de l’équipe AEC Data, qui occupe également le poste d’architecte…
Added 1 hour ago
A
Software Architect: AEC Platform Data
Autodesk
Toronto, ON
- Full-time
Il s’agit d’un poste de contributeur senior dans un parcours d’architecture bien établi, relevant de l’architecte émérite de l’équipe AEC Data, qui occupe également le poste d’architecte…
Added 3 hours ago
WH
Lead, WELLTrust Consent & Patient Experience Program
WELL Health Technologies Corp. (TSX: WELL)
Vancouver, BC
- $115,000 to $135,000 CAD / year
- Full-time
…The company has built a comprehensive practitioner enablement platform spanning EMRs, practice management, telehealth, patient engagement, billing and Revenue Cycle Management (RCM), data…
Added 4 hours ago
KD
Programme LEAP hiver 2027, Stagiaire - Finances commerciales | Winter 2027 LEAP Intern - Commercial Finance
Keurig Dr Pepper Canada
Montreal, QC
- Full-time
…commercial metrics into a centralized, self-service reporting platform. The intern will partner with Finance, Sales, and RGM to streamline reporting, automate data refreshes, and create a…
Added 5 hours ago
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Manager, PMO & Strategic Initiatives
YouPotential
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…and rely on our shared investment, operations and technology platform so they can spend their time with…
Added 8 hours ago
FT
Agent Deployment Engineer - Spanish Speaking
FDE Times
Toronto, ON
- Full-time
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
Added 8 hours ago
FT
Agent Deployment Engineer
FDE Times
Toronto, ON
- Full-time
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
Added 8 hours ago
PC
Senior Associate SIEM Implementation
PwC Canada
Montreal, QC
- Full-time
…systems, and provide proactive solutions to safeguard sensitive data. As a cybersecurity generalist at PwC, you will focus on providing comprehensive security solutions and experience…
Added 9 hours ago
I
Global Head of Cyber Security
Innocap
Montreal, QC
- Full-time
Innocap is the leading Dedicated Managed Account Platform (DMAP) globally, providing institutional allocators with a superior way to structure, access, and oversee their alternative…
Added 9 hours ago
Strategist, Enterprise
BrainStation
Toronto, ON
…executives who run their AI, Product, Marketing, Design, and Data teams. The role operates on two fronts. First, you will help these enterprises build durable, organization-wide AI…
Added 9 hours ago
Senior iOS Developer
Konrad
Toronto, ON
As a Senior iOS Developer, you'll be tasked with developing iOS applications. Working within the software development team, your duties will require you to assist in the development of…
Added 9 hours ago
Senior Android Developer
Konrad
Toronto, ON
As a Senior Android Developer, you'll be tasked with developing Android applications. Working within the software development team, your duties will require you to assist in the development…
Added 10 hours ago
RB
Senior Manager, AI Engineering (AML &Fraud)
Royal Bank of Canada
Vancouver, BC
- Full-time
The Senior Manager, AI Engineering (AML &Fraud) will lead a team delivering engineering solutions for fraud and AML capabilities across global groups. The role combines hands-on technical…
Added 10 hours ago
CC
Data Engineer
Canadian Cancer Society
Hamilton, ON
- Full-time
Reporting to the Senior Manager, Data Engineering & Services, the Data Engineer is involved in designing, developing, maintaining and optimizing data platform services, meta-data driven…
Added 10 hours ago
K
Senior Consultant, Financial Services-Insurance & Wealth & Asset Management
KPMG
ON · Toronto, Ontario
- Full-time
…opportunity to work at the intersection of strategy, operations, data, technology, and AI, this is a strong platform to build…
Added 11 hours ago
A
Senior Research Strategist, Research Studio
Alida
Vancouver, BC
- Up to $125,000 CAD / year
- Full-time
…projects from brief to final reporting. We're looking for a Senior Research Strategist to help build it with us from the ground…
Added 11 hours ago
Director, Digital Experience
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Toronto, ON
…ensure the digital storefront evolves as a strategic growth platform while creating a consistent experience across banners and…
Added 11 hours ago
R
Senior Manager, AI Engineering (AML &Fraud)
RBC
Vancouver, BC
- Full-time
The Senior Manager, AI Engineering (AML &Fraud) will lead a team delivering engineering solutions for fraud and AML capabilities across global groups. The role combines hands-on technical…
Added 11 hours ago
QW
Manager, PMO & Strategic Initiatives
Q Wealth Partners
Toronto, ON
- Full-time
…and rely on our shared investment, operations and technology platform so they can spend their time with…
Added 13 hours ago
B
VP, Paid Media
Buyerlink
Victoria, BC
- Full-time
Own paid social and native advertising strategy for Buyerlink’s Home Services and Automotive verticals, with Meta as the primary platform.

Siemens

Senior AI/ML & Robotics Platform Developer

Kitchener, ON, Canada

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Job details

Posting language: English
Posted: Nov 6, 2026

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 excited by the challenge of turning robotics data into usable foundations for advanced AI systems? Do you enjoy working at the boundary between machine learning, robotics, data engineering, evaluation, and industrial software?

We are seeking a Senior AI/ML & Robotics Platform Engineer to help define the data, metadata, validation, and evaluation backbone for a Physical AI platform in Canada. This role will be central to connecting robotics data engineering with future support for Level 3 skills, model evaluation, finetuning readiness, and advanced AI-assisted robotic applications.

You will work closely with platform architects, robotics integration engineers, backend developers, and research stakeholders to ensure that robotics data is structured, trustworthy, usable, and aligned with downstream AI and product needs.

What will you do?

Define robotics dataset structures, metadata schemas, quality rules, and validation logic for industrial data collection and AI enablement.
Help design how robot state, action data, task context, vision streams, annotations, and environmental metadata are captured and represented.
Drive approaches for dataset versioning, reproducibility, lineage, and training/evaluation readiness.
Support the design of VLA-related data collection and Level 3 skill enablement interfaces.
Develop validation pipelines and quality checks for robotics data completeness, alignment, synchronization, and usability.
Work with research-facing stakeholders to translate model and evaluation needs into practical platform requirements.
Support handoff patterns between data collection, governance, review workflows, and downstream AI/ML consumers.
Collaborate with robotics integration engineers on practical semantics for robot episodes, sensor timelines, and action representations.
Help establish evaluation-ready datasets, benchmarking inputs, and structured feedback loops between platform and AI development.
Contribute code, prototypes, tooling, and technical guidance across platform and data workflows.

What you will bring:

Master’s degree or equivalent experience in Computer Science, Robotics, Machine Learning, Data Engineering, Artificial Intelligence, or a related field.
Strong experience in Python and modern data engineering or ML tooling.
Experience working with structured and unstructured datasets, metadata, validation workflows, and quality management.
Good understanding of AI/ML workflows, robotics data, perception data, or model evaluation pipelines.
Ability to bridge technical detail across software, data, and AI teams.
Strong analytical and problem-solving skills.
Practical mindset and willingness to work in ambiguous, early-stage platform environments.

What sets you apart:

Experience with robotics, robot learning, teleoperation data, vision-language-action workflows, or embodied AI.
Experience with PyTorch ecosystem tooling, experiment tracking, MLOps, or evaluation pipelines.
Familiarity with ROS/ROS2, robot logs, trajectory data, or multimodal data synchronization.
Experience with industrial environments, edge collection systems, or sensor-rich datasets.

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: Salary is commensurate with experience, and base salary ranges between $130,000 CAD - $160,000 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.

Siemens is committed to creating a diverse environment and is proud to be an equal opportunity employer. Upon request, Siemens Canada will provide reasonable accommodation for disabilities to support participation of candidates in all aspects of the recruitment process. All qualified applicants will receive consideration for employment.

By submitting personal information to Siemens Canada Limited or its affiliates, service providers and agents, you consent to our collection, use and disclosure of such information for the purposes described in our Privacy Notice available at www.siemens.ca.

Siemens s’engage à créer un environnement diversifié et est fière d’être un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Sur demande, Siemens Canada prendra des mesures d’accommodement raisonnables pour les personnes handicapées, dans le but de soutenir la participation des candidats dans tous les aspects du processus de recrutement. Tous les candidats qualifiés seront pris en considération pour ce poste.

En transmettant des renseignements personnels à Siemens Canada limitée ou à ses sociétés affiliées, à ses fournisseurs de services ou à ses agents, vous nous autorisez à recueillir, à utiliser et à divulguer ces renseignements aux fins prévues dans notre Déclaration de protection de la confidentialité, que vous pouvez consulter au www.siemens.ca.

Job ID

528744

Posted since

06-Nov-2026

Organization

Digital Industries

Field of work

Research & Development

Company

Siemens Canada Limited

Experience level

Experienced Professional

Job type

Full-time

Work mode

Hybrid (Remote/Office)

Employment type

Permanent

Location(s)

Kitchener - Ontario - Canada

Apply About employer

More about this job

Responsibilities

Define and implement robotics dataset structures, metadata schemas, and validation logic to support advanced AI and Physical AI platform development. Collaborate with cross-functional teams to ensure robotics data is structured, trustworthy, and aligned with downstream model evaluation and training needs.

Requirements

Requires a Master's degree in Computer Science, Robotics, AI, or a related field, along with strong experience in Python and modern data engineering or ML tooling. Candidates should possess a practical mindset for ambiguous environments and experience with robotics data, perception pipelines, or MLOps.

Skills

Python
Robotics
Machine Learning
Data Engineering
Artificial Intelligence
Metadata Schemas
Validation Pipelines
PyTorch
MLOps
ROS2
Sensor Data
Computer Science
Physical AI
Software Engineering
Data Governance

Benefits

Flexible work environment
Telecommuting
Digital workspaces
Profit sharing
Vacation entitlement
Employee perks and discounts
Mentorship programs
Career advancement opportunities

Visa sponsorship

Not detected in the job text

Keywords

Physical AI
Robotics
Machine Learning
Data Engineering
Python
Metadata
Validation Pipelines
ROS2
PyTorch
MLOps
Computer Science
Artificial Intelligence
Data Governance
Sensor Data
Teleoperation
Vision-Language-Action
Embodied AI
Industrial Software
Workflow Orchestration
Benchmarking
Data Lineage
Reproducibility
Perception Data
Software Development
Platform Engineering
Digital Industries
Research & Development
Metadata Schemas
Synchronization
Edge Collection

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