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Added 3 mins ago
Sr. Quality Engineer
Johnson Controls
Nisku, AB
Full-time
We are seeking a Senior Manufacturing Quality Engineer with 8+ years of direct manufacturing experience in assembly and fabrication environments to lead quality performance improvements…
Added 3 mins ago
Ingénieur régional en colo électrique Sénior (Elec Colo Regional Engineer), Colocation Region Engineering- AMER
Amazon
Pointe-Claire, QC
Are you an engineer with a passion for data center design and looking for a challenge to chart your own course? If so, we are looking for you to help us make history.
Added 17 mins ago
Project Estimation Manager [Hybrid or Remote] - Gestionnaire Estimation des Projets [Hybride ou Télétravail] | - FR
EDF power solutions North America
Montreal, QC
Full-time
…provide functional coverage and technical continuity for the Senior Data Solutions Engineer during periods of absence or elevated workload demand. As such, the ideal candidate will bring a…
Added 17 mins ago
Ingénieur de Projet Senior [Hybride] | Senior Project Engineer [Hybrid] - FR
EDF power solutions North America
Montreal, QC
Full-time
Scope of Job : The Senior Project Engineer is responsible for leading and overseeing the technical coordination of projects engineering for grid scale projects from development through…
Added 17 mins ago
Project Estimation Manager [Hybrid or Remote] - Gestionnaire Estimation des Projets [Hybride ou Télétravail] | - FR
EDF power solutions North America
Montreal, QC
Full-time
…provide functional coverage and technical continuity for the Senior Data Solutions Engineer during periods of absence or elevated workload demand. As such, the ideal candidate will bring a…
Added 17 mins ago
Project Estimation Manager [Hybrid or Remote] - Gestionnaire Estimation des Projets [Hybride ou Télétravail] | - FR
EDF power solutions North America
Montreal, QC
Full-time
…provide functional coverage and technical continuity for the Senior Data Solutions Engineer during periods of absence or elevated workload demand. As such, the ideal candidate will bring a…
Added 17 mins ago
Lead Architect / Principal Engineer
Litmus
Toronto, ON
Full-time
…and industrial constraints - where reliability, scale, and performance are…
Added 19 mins ago
Senior Air Emissions Engineer
Steel Reef Infrastructure Corporation
Calgary, AB
The Senior Air Emissions Engineer is responsible for developing, implementing, and maintaining programs related to air emissions compliance, emissions reporting, and greenhouse gas (GHG)…
Added 33 mins ago
Sr. Director, Total Rewards
Array Marketing
Toronto, ON · Scarborough, Ontario
Full-time
…Sephora, L’Oréal, Coty, PUIG, Amazon, and many others to design, engineer, manufacture, and deliver bespoke retail environments that bring their brands to…
Added 48 mins ago
Roadway Design Lead
SYSTRA Canada
Toronto, ON
Full-time
We are looking for a Senior Professional to lead the Roadway Design Team at Systra Canada
Added 48 mins ago
Mine Water Management Technical Lead
GHD Group Pty Ltd
Toronto, ON
Full-time
…change management program. Involves working with guidance from senior…
Added 48 mins ago
Engineering Designer, Municipal
R.V. Anderson Associates Limited
Fredericton, NB · St. John's, NL · Dartmouth, NS
Full-time
Continuously expand knowledge in municipal engineering practices and work toward licensure as a Professional Engineer (P.Eng.) in Ontario.
Added 1 hour ago
Geotechnical Engineer
Alamos Gold Inc.
Matachewan, ON
Full-time
As a Geotechnical Engineer, you will play a key role in maintaining and enhancing the safety and stability of underground mining operations at the Young-Davidson Mine. Reporting to the…
Added 1 hour ago
Development Lead - Air Canada Mobile Application
Air Canada
Toronto, ON
As the most senior engineer on the mobile application, the Development Lead is both the design authority for the mobile platform and the primary delivery authority within Air Canada’s…
Added 1 hour ago
C1R EPC Retube Project Director
AtkinsRéalis
Mississauga, ON
Full-time
…with Labour Relations as required to effectively resolve work performance issues within the…
Added 1 hour ago
Senior Software Engineer
Thri5
Toronto, ON
Full-time
As a Senior Software Engineer at Thri5, you'll play a key role in building and scaling our product. You'll own significant technical problems from design through production, working closely…
Added 1 hour ago
Project Engineer
Maple Leaf Foods Inc
Winnipeg, MB
Full-time
Assist senior management in developing and justifying capital expenditure requests
Added 1 hour ago
Sr Full Stack AI Engineer - Calgary ,Canada (Hybrid)
Straive
Calgary, AB
Full-time
Title - Senior Full Stack AI Engineer / Technical Engagement Manager
Added 1 hour ago
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
Full-time
We're on the hunt for a top-tier Senior Embedded Software Engineer. Your focus will be on software development and maintenance required for both space and ground-based assets for a growing…
Added 1 hour ago
Senior Civil Engineer- Dam Safety
Klohn Crippen Berger
BC · British Columbia, Canada
Full-time
Klohn Crippen Berger (KCB) is seeking an experienced Senior Civil Engineer to join our Power and Transportation Group. This leadership role is ideal for a seasoned engineer with 12+ years…
Added 1 hour ago
Senior Hydrotechnical Engineer
Klohn Crippen Berger
Vancouver, BC
Full-time
KCB's Power and Transportation Group is seeking a Senior Hydrotechnical Engineer to join our Vancouver office. In this role, you will lead hydrodynamic modeling, fluid‑structure interaction…
Added 1 hour ago
Senior Network Engineer
Kyndryl
Toronto, ON
Contract
Provide senior-level troubleshooting, performance optimization, root cause analysis, technical documentation, and operational handover.
Added 1 hour ago
C1R EPC Retube Project Director
AtkinsRéalis
Mississauga, ON
Full-time
…with Labour Relations as required to effectively resolve work performance issues within the…
Added 1 hour ago
Senior Solutions Engineer, Enterprise Technology Services
Manulife
Toronto, ON
Full-time
Manulife is seeking a Senior Solutions Engineer to help design, scale, and modernize secure cloud platforms that support critical business systems across a global financial services…
Added 2 hours ago
Senior Mine Engineer (Underground Soft Rock)
Compass Minerals
Goderich, ON
Full-time
We are currently hiring a Senior Mine Engineer to join the team at our underground salt mine in Goderich, Ontario. This is no a fly in/fly out location.

Siemens

Machine Learning Systems and Infrastructure Developer

Kitchener, ON, Canada

Job type: Full-time
Apply by: Oct 31, 2026
Experience: 3+ years of Strong experience building ML platforms, training infrastructure, MLOps systems, model lifecycle tooling, or production AI infrastructure.
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 excited by the engineering work that turns model development into repeatable, governed production rollout?

Do you enjoy building the infrastructure behind training jobs, GPU environments, experiment tracking, model registries, evaluation gates, and controlled deployment of robotics AI models?

We are seeking a Machine Learning Systems and Infrastructure Developer to build the training infrastructure and model rollout layer for Physical AI. This developer will provision and operate ML environments, automate training and evaluation pipelines, manage model artifacts and registries, and define the promotion path from trained model to validated runtime candidate. The role connects robotics data, partner VLA/RFM work, model evaluation, release gates, and runtime deployment without owning robotics data semantics or the final runtime integration layer alone.

What will you do?

Provision and maintain ML training environments for robotics AI workloads across local, edge, on-premise, and cloud-backed infrastructure where applicable.
Build repeatable training, fine-tuning, evaluation, and model-packaging pipelines for VLA, VLM, perception, and robot-learning workflows.
Manage model artifacts, model registries, dataset references, experiment metadata, lineage, approvals, promotion states, and rollback paths.
Automate GPU resource allocation, job scheduling, environment reproducibility, dependency management, and capacity tracking.
Define model rollout workflows from training output to validated runtime candidate, including evaluation gates, release notes, traceability, and operational handoff.
Partner with the Senior AI/ML and Robotics Platform Engineer on dataset readiness, evaluation semantics, and model-quality criteria.
Partner with ML inference, Edge Runtime, AX integration, QA, and DevOps engineers on packaging, deployment readiness, observability, and release automation.

What you will bring:

Bachelor's or Master's degree in Computer Science, Machine Learning, Robotics, Computer Engineering, Software Engineering, Electrical Engineering, or a related field.
3+ years of Strong experience building ML platforms, training infrastructure, MLOps systems, model lifecycle tooling, or production AI infrastructure.
Strong programming skills in Python and practical experience with containers, Linux, automation, APIs, configuration management, and reproducible environments.
Experience with training orchestration, job scheduling, GPU provisioning, artifact management, experiment tracking, model registries, or release pipelines.
Practical experience with ML frameworks and infrastructure such as PyTorch, Hugging Face tooling, Ray, Kubernetes, Slurm, MLflow, Weights & Biases, Docker, CUDA, or comparable systems.
Understanding of GPU capacity, storage, networking, data locality, dependency isolation, cost controls, and failure recovery for training workloads.
Experience connecting datasets, metadata, evaluation outputs, model artifacts, and deployment packages through traceable workflows.
Ability to define model promotion and rollback processes with clear gates for quality, reproducibility, security, and runtime readiness.
Experience partnering with data engineering, ML research, robotics, DevOps, QA, and runtime teams to make model development operational.
Strong troubleshooting skills across training jobs, data access, dependencies, GPU infrastructure, model artifacts, and rollout automation.

What sets you apart:

Experience with VLA, VLM, robotic foundation models, robot learning, imitation learning, reinforcement learning, or multimodal training workflows.
Experience operating GPU clusters, shared training platforms, high-volume data pipelines, or hybrid on-premise and cloud ML infrastructure.
Experience with distributed training, multi-node GPU workloads, or training orchestration frameworks such as Ray, Slurm, Kubernetes, Kubeflow, or comparable systems.
Experience designing portable ML infrastructure across on-premise, cloud, or multicloud environments, including data locality, reproducibility, access control, and cost management.
Familiarity with dataset versioning, data lineage, model cards, evaluation reports, approval workflows, and audit-ready model release practices.
Experience with NVIDIA tooling, CUDA environments, distributed training, model export, quantization handoff, or edge-deployment preparation.
Knowledge of governance concerns for robotics AI models, including reproducibility, traceability, fallback versions, data provenance, and release accountability.
Ability to separate training infrastructure ownership from robotics data semantics, runtime inference optimization, and industrial platform integration.
Strong judgment about when a model is ready to leave experimentation and enter controlled runtime validation.

Work Environment:

This role is primarily focused on software and infrastructure, with close collaboration across robotics data, ML research, QA, DevOps, edge runtime, and platform integration teams.
Hybrid work is supported, with on-site presence expected for training environment setup, model rollout validation, data pipeline integration, and reference-cell release readiness.

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 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.

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 operate machine-learning training infrastructure and repeatable pipelines for robotics AI, including GPU resources, experiment tracking, model artifacts, registries, and evaluation. Define traceable model promotion, validation, deployment-readiness, and rollback workflows in collaboration with robotics, ML, runtime, QA, and DevOps teams.

Requirements

Requires a bachelor's or master's degree in a relevant technical field and at least three years of experience building ML platforms, training infrastructure, MLOps systems, or production AI infrastructure. Candidates should have strong Python and Linux skills, practical experience with containers and ML infrastructure tools, and knowledge of GPU workloads, reproducible environments, model lifecycle workflows, and release governance.

Skills

Python
Machine Learning Infrastructure
MLOps
Training Orchestration
GPU Provisioning
Model Lifecycle Management
PyTorch
Kubernetes
Slurm
Ray
MLflow
Docker
CUDA
Experiment Tracking
Model Registries
Distributed Training

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Physical AI
Robotics AI
Machine Learning Infrastructure
MLOps
Python
PyTorch
Hugging Face
Ray
Kubernetes
Slurm
Kubeflow
MLflow
Weights & Biases
Docker
Linux
CUDA
GPU Provisioning
Distributed Training
Training Orchestration
Experiment Tracking
Model Registries
Model Lifecycle Management
Model Evaluation
Model Packaging
Dataset Versioning
Data Lineage
VLA
VLM
Robot Learning
Edge Deployment

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