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Added 19 mins ago
Project Engineer
GRUNDFOS
Oakville, ON
Full-time
As our new Project Engineer, you'll be designing and engineering custom water and wastewater treatment systems that deliver reliable, compliant solutions tailored to each customer's unique…
Added 19 mins ago
Operations Engineer
Saltworks Technologies: Industrial Water + Lithium
SK · Saskatchewan, Canada
Full-time
Join Saltworks as an Operations Engineer and take on an exciting, on-site, hands-on role supporting the launch of a first-of-its-kind lithium demonstration plant located near Stoughton,…
Added 19 mins ago
Project Engineer
GRUNDFOS
Brockville, ON
Full-time
As our new Project Engineer, you'll be designing and engineering custom water and wastewater treatment systems that deliver reliable, compliant solutions tailored to each customer's unique…
Added 34 mins ago
Senior Engineer Supervisor, Projects
Elk Valley Resources
Elkford, BC
$140,000 to $165,000 CAD / year
Added 48 mins ago
Designer, Development (Service)
Husky Technologies
Bolton, ON
Full-time
Husky TechnologiesTM Canadian manufacturing facilities and global headquarters are located in Bolton, Ontario on a large, beautiful campus located just 20 minutes north of Toronto’s Pearson…
Added 48 mins ago
Product Development Engineer|
Husky Technologies
Bolton, ON
Full-time
Our Development Engineering team is looking to hire an experienced Product Development Engineer. The successful candidate will lead the technical development of packaging products working…
Added 48 mins ago
Manufacturing Engineer (Contract)
Husky Technologies
Bolton, ON
Full-time
We have an opening for an Industrial / Manufacturing Engineer working with our Manufacturing Engineering Team as outlined below:
Added 48 mins ago
ERP Business Analyst
Husky Technologies
Bolton, ON
Full-time
Advanced business process knowledge in one or more of the following areas: Finance, Discrete Manufacturing, Engineer-to-Order (ETO) Manufacturing, Supply Chain, Warehouse Management, and…
Added 48 mins ago
Applications Engineer
Husky Technologies
Bolton, ON
Full-time
Husky TechnologiesTM Canadian manufacturing facilities and global headquarters are located in Bolton, Ontario on a large, beautiful campus located just 20 minutes north of Toronto’s Pearson…
Added 50 mins ago
Electronics Engineering Contractor
MistyWest
Remote, Canada
Full-time · Remote
At MistyWest, as our Electronics Engineer, you will work on various electronic designs and cover all stages of the design process from specifications and high-level design, to testing and…
Added 50 mins ago
Senior Registered Electrical Engineer - Nuclear Power
Black & Veatch Family of Companies
Markham, ON
As Senior Registered Electrical Engineer, you will have the opportunity to:
Added 50 mins ago
Senior Stationary Engineer
Thermo Fisher Scientific
Whitby, ON
Full-time
Able to lift 40 lbs. without assistance, Adherence to all Good Manufacturing Practices (GMP) Safety Standards, Cleanroom: no hair products, jewelry, makeup, nail polish, perfume, exposed…
Added 50 mins ago
Process Control Engineer Co-op/Intern - Summer 2027
Mosaic
Esterhazy, SK · CA - Esterhazy, SK
Full-time
Eagerness to learn new skills and develop as an engineer
Added 50 mins ago
Superintendent
PCL Construction
Nisku, AB
Added 1 hour ago
Sr. Controls Engnieer, Body Controls
Rivian and Volkswagen Group Technologies
Remote, Canada
$86,200 to $114,280 CAD / year
Full-time · Remote
We are seeking a dedicated and innovative Body Controls Engineer to join our team, focused on the Vehicle Management feature area. This role owns the development and integration of embedded…
Added 1 hour ago
Senior Professional Engineer – Fly-By-Wire & Secondary Flight Control Systems
Infotel
Montreal, QC
Full-time
Our client, a major aerospace manufacturer, is looking for a Senior Professional Engineer to join its Fly-By-Wire (FBW) and Secondary Flight Control Systems team. This role supports an…
Added 1 hour ago
Senior Registered Electrical Engineer - Nuclear Power
Black & Veatch
Markham, ON
Full-time
As Senior Registered Electrical Engineer, you will have the opportunity to:
Added 1 hour ago
Electronics Engineering Contractor
MistyWest
Vancouver, BC
Full-time
At MistyWest, as our Electronics Engineer, you will work on various electronic designs and cover all stages of the design process from specifications and high-level design, to testing and…
Added 1 hour ago
Electrical Systems Integration Engineer
Infotel
Toronto, ON
Contract
Our client, a major aircraft manufacturer, is hiring an Electrical Engineer to join its Systems Integration team. This role owns the electrical side of the aircraft: power generation, power…
Added 1 hour ago
Associate Technical Consultant
Worley
Sudbury, ON · Toronto, ON · Sarnia, ON · Markham, ON · Pickering, ON · Vancouver, BC · Edmonton, AB · Calgary, AB · Greater Sudbury, ON,CA
Full-time
Added 1 hour ago
Engineer Protection & Control
Stantec
Moncton, NB
Full-time
As a Protection and Control Engineer, you will have the opportunity to contribute to the success of the company by joining our team of experts in one of our 15 offices across Quebec. Come…
Added 1 hour ago
Engineer Protection & Control
Stantec
Saint John, NB
Full-time
As a Protection and Control Engineer, you will have the opportunity to contribute to the success of the company by joining our team of experts in one of our 15 offices across Quebec. Come…
Added 1 hour ago
Structural Engineer
Komline Pure Water
Surrey, BC
$95,000 to $125,000 CAD / year
Full-time
Komline Pure Water, a leading engineering and manufacturing firm based in Surrey, BC is seeking a Structural Engineer to assist with their increasing volume of custom fabricated water…
Added 1 hour ago
Senior Designer, Optoelectronics
IMAX Enhanced | Streaming & Consumer Technology
Mississauga, ON
Full-time
IMAX is seeking a Senior Optoelectronics Engineer to play a key role in the research, development, validation, and continuous improvement of next-generation entertainment technologies. This…
Added 1 hour ago
Site Reliability Engineer(APP Admin administrator)
Hyve Solutions
ON · Ontario, Canada
Full-time
…building AI, cloud, and connected infrastructure. As a US-based manufacturing partner, the company rapidly delivers fast, agile execution through dep technical partnerships and…

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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