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Added 1 min ago
CL
Data Scientist
Charger Logistics Inc.
Brampton, ON
- Full-time
Certifications: Google Cloud Professional Data Engineer or Machine Learning Engineer is an asset; SnowPro® Advanced: Data Scientist certification preferred.
Added 5 mins ago
AI Engineer Sr
Dayforce
Canada
We are looking for an AI Engineer - Agentic Systems Evaluation to help define how we measure, test, and improve the quality of enterprise AI systems.
Added 34 mins ago
Scientifique principal des données I
Bell
Toronto, ON
The Cloud Capability: Extensive hands-on knowledge of Google Cloud Platform (GCP); holding a GCP Professional Machine Learning Engineer certification is a massive bonus!
Added 50 mins ago
FF
Principal Software Engineer
Forward Financing
Remote, Canada
- $200,000 to $250,000 CAD / year
- Full-time
- Remote
…analytical capabilities. We’re seeking a seasoned Principal Engineer with an architect’s mindset to own the technical vision and execution. As a technical leader, you will be instrumental…
Added 1 hour ago
RB
Staff AI Architect/Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
This is a tremendous opportunity to reinvent architecture in the AI Age. As a Staff AI Architect/Engineer, you will operate at the intersection of hands-on AI building and enterprise…
Added 2 hours ago
DS
Senior AI Engineer / Architect
D3 Security
Vancouver, BC
- Full-time
maryWe are looking for a Senior AI Engineer to help architect and scale AI-powered product systems across our platform and engineering workflows. This role is best suited for someone with…
Added 2 hours ago
Senior Software Engineer, Security Engineering - Platform (Auth0)
Okta
Toronto, ON
Senior Software Engineer, Security Engineering
Added 3 hours ago
M
Associate Applied AI Engineer – GenAI Systems
Manulife
Toronto, ON
- Full-time
Engineer features from structured and unstructured data and help ensure solutions remain robust as data evolves.
Added 5 hours ago
SL
Sr. Analytics and Automation Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Sr. Analytics and Automation Engineer - Focus on Micro segmentation Policy-as-a-Code.
Added 5 hours ago
H
Quality Engineer
Hays
Toronto, ON
- Contract
A leading organization is seeking a highly skilled and experienced Senior Quality Engineer to join its Enterprise Technology and Data team. This role is focused on ensuring the delivery of…
Added 7 hours ago
XI
Senior Data Engineer, Network Intelligence
Xplore Inc.
Canada
- Full-time
As a Senior Data Engineer on the Network Intelligence team, you will own the end-to-end data pipeline function that powers Xplore's network analytics, observability, and AI capabilities…
Added 7 hours ago
C
AI Product Scaling Director
CIBC
Toronto, ON
- Full-time
You are a hands-on senior engineering leader. You have atleast 5+ experience operating at a Staff, Principal, Lead Engineer, or equivalent level, and you enjoy both designing systems and…
Added 7 hours ago
A
Manager, Software Engineering
AltaML
Toronto, ON
- Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 13 hours ago
DN
Senior Staff Machine Learning Platform Engineer
Digital Nomad World
ON · Ontario, Canada
- Full-time
As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and…
Added 15 hours ago
Q
Backend Developer (Kotlin)
Quartz
Open Hall, NL
- Full-time
We're looking for a Backend Engineer to help build the core of how Quartz works - the systems that aggregate user data, power Charlie (our AI advisor), and make personalised wealth advice…
Added 15 hours ago
P
Senior Backend Engineer .NET & Python
PosiTrace
Vancouver, BC
- Full-time
We're migrating toward MACH (Microservices, API-first, Cloud-native, Headless) and need a senior backend engineer to co-own that evolution.
Added 21 hours ago
A
Software Development Engineer II, Advertiser Growth Engine
Amazon
Toronto, ON
- Full-time
Added 1 day ago
CN
Founding CTO
Clash Nexus AI
Oshawa, ON
- Full-time
Startup, founding engineer, technical lead, senior engineer, or CTO experience is highly preferred
Added 1 day ago
GC
AI Engineer
GEI Consultants, Inc.
Markham, ON
- $110,000 to $150,000 CAD / year
- Full-time
The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained models and copilots, to support GEI’s priority digital and AI initiatives. This role…
Added 1 day ago
A
Manager, Software Engineering
AltaML
Toronto, ON
- Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 1 day ago
H
Senior Software Engineer, Machine Learning
hive.co
Remote, Canada
- Full-time
- Remote
As a Senior Data Engineer, you’ll play a vital role in evolving our data platform, which directly determines what our customers can do, how fast our product moves, and how confidently…
Added 1 day ago
P
Senior Software Engineer- Wireless (Contract)
Photon-IV
Canada
- Full-time
The Senior Software Engineer- Wireless is a contract hybrid role based in Canada, with a mix of on-site collaboration and work-from-home flexibility. This role is responsible for leading…
Added 1 day ago
HT
Staff Software Engineer, AI
Hudson Talent Solutions
Toronto, ON
- Full-time
We're seeking a Staff Software Engineer, AI to help lead the design, development, and scaling of enterprise AI solutions at Thomson Reuters.
Added 2 days ago
S
Senior Member of Technical Staff (Applied AI) (Toronto)
Solstice
Toronto, ON
- Full-time
We're hiring a senior Applied AI engineer to own the technical direction of our AI systems: retrieval, generation, verification, evaluation, and keeping systems running in production.…
Added 2 days ago
ET
Sr. Embedded DSP Engineer
ESS Technology, Inc.
Kelowna, BC
- Full-time
We are seeking a senior embedded engineer to join our firmware and DSP team development with experience with Cortex based products and advanced audio processors.

Siemens

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

Kitchener, ON, Canada

Full-time

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Job details

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

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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