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Added 16 mins ago
JAMS Platform Engineer
Pacer Group
Toronto, ON
$60 to $70 CAD / hour
Contract
Strong hands-on experience with JAMS Scheduler and workload automation.
Added 18 mins ago
Lead Threat Intelligence Engineer
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Calgary, AB · Vancouver, BC · Toronto, ON
Full-time
You will work closely with Clio's internal red team and detection engineer. Threat Intelligence characterizes the adversary - who they are, how they operate, what to watch for. The Red Team…
Added 1 hour ago
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
Evinova
Mississauga, ON
Full-time
As a Senior Cloud Platform Engineer on the ML/AI Ops team, you will design, build and operate the AWS platform that runs our production Generative AI, agentic AI and conversational AI…
Added 2 hours ago
Engineer (Physical AI)
Renesas Electronics
Ottawa, ON
Full-time
We are seeking an entry level Engineer (Physical AI) to join the Pathfinding Studio within the Engineering Innovation Office. In this role, you will research and develop next generation…
Added 2 hours ago
AI Platform Engineer - DevOps
Tekgence Inc
Halifax, NS
Contract
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Added 2 hours ago
Robotics Engineer - Edge Runtime, Physical AI Hub, Kitchener
Siemens
Kitchener, ON
Hybrid work is supported, with on-site presence expected for hardware bring-up, profiling, integration debugging and reference-cell validation.
Added 2 hours ago
Quality Assurance Engineer - Physical AI hub, Kitchener
Siemens
Kitchener, ON
Hybrid work is supported, with on-site presence expected for lab automation, integration testing, failure reproduction, and release validation
Added 2 hours ago
Senior Agentic AI Engineer- Physical AI hub, Kitchener
Siemens
Kitchener, ON
Hybrid work is supported, with on-site presence expected for workflow validation, failure analysis, and cross-team integration sessions.
Added 2 hours ago
Robotics Engineer, Teleoperation and Data Collection - Physical AI Hub, Kitchener
Siemens
Kitchener, ON
Strong programming skills in Python and practical experience with SQL, object storage, data formats, schema design, APIs, or streaming systems.
Added 2 hours ago
Machine Learning Systems and Infrastructure Developer
Siemens
Kitchener, ON
Partner with the Senior AI/ML and Robotics Platform Engineer on dataset readiness, evaluation semantics, and model-quality criteria.
Added 2 hours ago
Senior Data Engineer
TriMech
Oakville, ON
Full-time
As Senior Data Engineer / Data Scientist, you will design, build, and operate the group's data ecosystem: integrating data from our core business systems, developing robust pipelines,…
Added 6 hours ago
AI Engineer
GEI Consultants, Inc.
Kitchener, ON
$110,000 to $150,000 CAD / year
Full-time
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability…
Added 8 hours ago
Intern, Developer (Winter 2027)
Bombardier
Mississauga, ON
$17.95 to $31 CAD / hour
Volunteer
Engineer backend automation scripts and data integration pipelines with Python and SQL, leveraging operational data to drive real-time insights and transformation on the shop floor.
Added 9 hours ago
DevOps Engineer
TEEMA
Toronto, ON
$115,000 to $120,000 CAD / year
Full-time
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Added 17 hours ago
Software Engineer in Test
Galactic Minds INC
Vancouver, BC
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Added 18 hours ago
DevOps Platform Engineer
Quantum World Technologies Inc.
Toronto, ON
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Strong proficiency in Python for automation| API integrations| infrastructure tooling| agent services| and production scripting.
Added 19 hours ago
AI Developer – AI/ML, Python, LangChain, RAG, NLP LLM
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
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What is the opportunity? The Senior AI Engineer will work on the development and deployment of cutting-edge machine learning models, drive innovation, and collaborate with cross-functional…
Added 19 hours ago
Staff Software Engineer – AI
Thomson Reuters
Toronto, ON
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As a Staff Software Engineer – AI on the Confirmation Product Engineering team, you will be a hands-on technical leader building and delivering production platform and AI capabilities. This…
Added 19 hours ago
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
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Mississauga, ON · Canada - Mississauga
Full-time
As a Senior Cloud Platform Engineer on the ML/AI Ops team, you will design, build and operate the AWS platform that runs our production Generative AI, agentic AI and conversational AI…
Added 19 hours ago
AI Platform Engineer - DevOps, Python
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
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Added 19 hours ago
Software Engineer
Actalent
Ottawa, ON
$50 to $74 CAD / hour
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Proficiency in automation programming and scripting, with mid-level Python scripting skills considered valuable.
Added 20 hours ago
Database Engineer
THE CANADIAN REAL ESTATE ASSOCIATION
Ottawa, ON
$110,000 to $135,000 CAD / year
Full-time
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Added 21 hours ago
Sr Full Stack AI Engineer - Calgary ,Canada (Hybrid)
Straive
Calgary, AB
Full-time
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Added 21 hours ago
Software Engineer I
Beanfield
Toronto, ON
$90,000 to $110,000 CAD / year
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Added 21 hours ago
Senior Analytics Engineer – Data Modeling
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Siemens

Robotics Engineer, Teleoperation and Data Collection - Physical AI Hub, Kitchener

Kitchener, ON, Canada

Job type: Full-time
Apply by: Oct 31, 2026
Experience: 3+ years experience building data pipelines, data platforms, telemetry systems, ML data infrastructure, or high-volume event-based storage.
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 turning real robot operation into high-quality data? Do you enjoy designing data systems that capture synchronized robot state, sensor streams, task events, teleoperation input, and outcome evidence with enough fidelity to support evaluation and improvement?

We are seeking a Robotics Data Engineer to build the teleoperation and data collection layer for the Physical AI Runtime. This engineer will design pipelines for demonstration data, event-based storage, compression, curation, labeling, data quality, and reusable evaluation corpora. The role is central to building a data flywheel for robot skills, perception monitoring, VLA evaluation, and runtime validation.

What you will do:

Build data pipelines for teleoperation sessions, robot state, camera streams, sensor data, task events, and runtime traces.
Define schemas and storage patterns for synchronized multimodal robotics episodes.
Implement event-based capture, buffering, compression, upload, validation, indexing, and replay workflows.
Support curation, labeling, review, dataset versioning, access control, and quality reporting.
Create data-quality checks for timing drift, dropped frames, missing metadata, incomplete episodes, and corrupted artifacts.
Partner with Perception, ML Systems, QA, and Robotics Integration engineers on evaluation corpora and failure analysis.
Help define governance for demonstration recordings, operator data, customer data separation, and retention expectations.

What you will bring:

Bachelor's or Master's degree in Computer Science, Data Engineering, Robotics, Electrical Engineering, Software Engineering, Computer Engineering, or a related field.
3+ years experience building data pipelines, data platforms, telemetry systems, ML data infrastructure, or high-volume event-based storage.
Strong programming skills in Python and practical experience with SQL, object storage, data formats, schema design, APIs, or streaming systems.
Experience handling time-synchronized, multimodal, or high-frequency data such as video, images, robot state, sensor signals, traces, logs, and task events.
Understanding of data lineage, dataset versioning, retention, compression, privacy, access control, and reproducible data processing.
Ability to define data-quality checks for missing frames, dropped events, clock drift, inconsistent metadata, corrupted files, and incomplete episodes.
Experience supporting labeling, curation, review workflows, and dataset discoverability by task, skill, outcome, failure mode, or environment.
Ability to collaborate with robotics integration, perception, ML systems, QA, and product teams on shared data contracts.
Practical judgment about balancing capture fidelity, storage cost, network constraints, and operational simplicity.

What sets you apart:

Experience with robotics data, teleoperation, imitation learning, robot-learning datasets, reinforcement learning data, or demonstration capture.
Experience with video pipelines, image sequences, point clouds, time-series databases, event streams, ROS bags, MCAP, Parquet, HDF5, or similar data formats.
Knowledge of teleoperation systems, human demonstration workflows, operator input capture, annotation tools, or human-in-the-loop review.
Experience building data products for model evaluation, failure analysis, replay, simulation, or regression testing.
Familiarity with edge capture, offline-first upload, compression strategies, bandwidth constraints, and local buffering.
Ability to reason about what makes a robotics episode useful for training, evaluation, debugging, and customer evidence.
Strong ownership of data quality as an engineering and product requirement.

Work environment:

This role includes hands-on collaboration with teleoperation setups, robot-cell data capture, camera streams, edge devices, and lab validation workflows.
Hybrid work is supported, with on-site presence expected for teleoperation data collection, synchronization debugging, and reference-cell 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 $ X CAD - $ X CAD, excluding bonus and benefits. In addition to base salary, this role includes eligibility for an annual discretionary bonus of 10% 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.

Canada

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More about this job

Responsibilities

Build and maintain pipelines and storage workflows for synchronized teleoperation sessions, robot state, camera and sensor streams, task events, and runtime traces. Establish data quality, curation, labeling, versioning, replay, and governance practices, and collaborate with robotics, perception, ML systems, and QA teams on evaluation datasets and failure analysis.

Requirements

A bachelor's or master's degree in a relevant computing, engineering, or robotics field and at least three years of experience building data pipelines, data platforms, telemetry systems, ML data infrastructure, or event-based storage are requested. Candidates should have strong Python skills, practical experience with SQL and data systems, familiarity with synchronized multimodal data and data-quality practices, and the ability to collaborate across engineering teams.

Skills

Python
SQL
Data Pipeline Engineering
Robotics Data Collection
Teleoperation
Multimodal Data Synchronization
Data Schema Design
Event-Based Storage
Data Compression
Data Quality Validation
Dataset Versioning
Data Curation and Labeling
Data Lineage
Streaming Systems
Video Processing
Cross-Functional Collaboration

Benefits

Flexible Work Environment
Flexible Hours
Telecommuting
Career Advancement Opportunities
Mentorship Programs
Profit Sharing
Vacation Entitlement
Employee Perks and Discounts

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Teleoperation
Physical AI
Robotics Data
Data Pipelines
Robot State
Camera Streams
Sensor Data
Runtime Traces
Multimodal Data
Event-Based Storage
Data Compression
Data Curation
Data Labeling
Dataset Versioning
Data Lineage
Data Quality
Object Storage
Schema Design
APIs
Streaming Systems
Video Pipelines
Point Clouds
Time-Series Databases
ROS Bags
MCAP
Parquet
HDF5
Imitation Learning

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