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Added 23 mins ago
MLOps Engineer – Databricks (1896) $90-100hr
Direct IT Recruiting Inc.
Toronto, ON
$90 to $100 CAD / hour
Contract
Writes modular, testable code and favours automation over manual intervention.
Added 23 mins ago
Engineer, Power Electricity
BPA
Laval, QC
Full-time
BPA is more than an engineering firm - it’s a passionate team shaping the buildings and infrastructure of tomorrow. With offices across Canada, our expertise in sustainable design and…
Added 23 mins ago
DevOps Engineer
NLB Services
Brampton, ON
Contract
Platform engineering with strong cloud infrastructure fundamentals - Google Cloud Platform (GKE, Networking, Compute, Storage, IAM/WIF, BigQuery, Cloud Logging)
Added 23 mins ago
Applications Engineer Senior
Zebra Technologies
Montreal, QC
Full-time
Help manage and maintain company vision labs, as well as remote testing infrastructure, in order
Added 24 mins ago
Senior DevOps Engineer
Motorola Solutions
Vancouver, BC
Full-time
We are seeking a highly experienced and passionate Senior DevOps Engineer to join our team. In this pivotal role, you will be instrumental in evaluating, consolidating, and designing the…
Added 24 mins ago
Cloud Engineer
Scotiabank
Toronto, ON
The Cloud Engineer will be part of the “Cloud Platform Engineering” team that is responsible for the Cloud adoption strategy and developing platform components/services for the broad…
Added 39 mins ago
DevOps Engineer/MTS
MDA
Brampton, ON
Full-time
As our DevOps Software Engineer/Member of Technical Staff, you will be instrumental in accelerating our software teams to deliver high quality software solutions faster than ever before.…
Added 39 mins ago
Embedded Software Engineer/MTS
MDA
Brampton, ON
Full-time
…satellites, Earth and space observation, and space exploration and infrastructure. The MDA Space team of more than 3,400 space experts in Canada, the US and the UK has the knowledge and…
Added 53 mins ago
Senior Platform Engineer, Vice President
State Street
Toronto, ON
Full-time
As a Senior Platform Engineer, you will be responsible for driving the architecture and implementation of complex cloud & hybrid data solutions for all the customer teams at State Street in…
Added 1 hour ago
Senior Network Security Engineer (CCNP Security Needed)
RSM US LLP
Toronto, ON
Full-time
Familiarity with automation and infrastructure-as-code approaches (Python, Ansible, REST APIs).
Added 1 hour ago
Automation Engineer Co-op/Intern
Nokia
Ottawa, ON
Full-time
DevOps Foundations: Core understanding of modern DevOps principles. Familiarity with infrastructure basics, cloud concepts (AWS, Azure, or GCP), containerization (Docker), and automation…
Added 1 hour ago
Collaboration & AI DevOps Engineering Specialist (Microsoft 365 & CoPilot)
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
…DevOps practices, enabling modern workplace productivity through automation, governance, and platform optimization and have an in-depth knowledge of Microsoft…
Added 1 hour ago
Performance Engineering Lead
TD
Toronto, ON
Full-time
Strategize & lead testing of TD Bank's production like infrastructure with a focus on automation & scale
Added 1 hour ago
Silicon Validation/Characterization Engineer - 18757
Synopsys
Ottawa, ON
Drive systematic debug and root cause analysis of silicon, firmware, board, and test infrastructure issues using lab instrumentation, data analytics, and cross-functional collaboration with…
Added 1 hour ago
Lead Software Engineer
Insight Global
Burnaby, BC
Full-time
Insight Global is looking for a Software Engineer to join a AAA gaming company in a full-time basis on the west coast Canada or USA near an office location. This role is responsible for…
Added 2 hours ago
Senior Elastic Engineer
Jolera
Remote, Canada
Full-time · Remote
The Senior Elastic Engineer leads the design, optimization, and strategic evolution of Elastic environments that support advanced security and observability use cases. This role combines…
Added 2 hours ago
Software Developer, Hosted Platform Services
Cisco
Toronto, ON
Full-time
…leveraging deep expertise in Cisco security products and modern automation tools, you’ll ensure that our infrastructure remains secure, compliant, and optimized for high-performance…
Added 2 hours ago
Technical Support Engineer
Siri InfoSolutions, Inc.
ON · Ontario, Canada
Contract
Collaborate with development, infrastructure, and application support teams
Added 2 hours ago
BI Platform Operations Engineer – Tableau, Amazon Quicksight & AWS
Apptoza Inc.
Toronto, ON
Contract
Role: BI Platform Operations Engineer – Tableau, Amazon Quicksight & AWS
Added 2 hours ago
AWS Data Engineer
Apptoza Inc.
Toronto, ON
Contract
Implement CI/CD and infrastructure automation using Git, Jenkins, Terraform/CloudFormation.
Added 2 hours ago
Senior Software Engineer
SALT XC
Toronto, ON
Join us as a Senior Software Engineer building the next generation of AI products. This is a hands-on senior software development role: you'll spend roughly 80% of your time designing,…
Added 3 hours ago
Energy Efficiency and Decarbonization Engineer
Siemens
Montreal, QC
…of decarbonization efforts. As an Energy and Decarbonization Engineer, you will have the opportunity to work closely with our customers and partners, helping them navigate the complex…
Added 3 hours ago
QA Test Engineer (Cloud Migration Validation, Failure Triage & Root-Cause Analysis)
Next Pathway
Toronto, ON
Full-time
…and data environments. This is not a traditional QA role: the engineer is expected to read logs, interrogate data, reproduce issues, isolate root causes, and determine whether a failure…
Added 3 hours ago
Senior Systems & Cloud Engineer
Alquemy Search & Consulting
Saskatoon, SK
Contract
We are seeking a hands-on, security-minded Senior Systems & Cloud Engineer to own, modernize, and scale our enterprise server, identity, database, and cloud infrastructure.
Added 3 hours ago
Production Support - Elite Quant Fund- Up to $180,000 CAD + Bonus
Hunter Bond
Montreal, QC
Full-time
🔹Partner with Infrastructure and Engineering teams to improve platform stability and automation

Siemens

Machine Learning Systems and Infrastructure Developer

Kitchener, ON, Canada

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 2, 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.

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

524099

Posted since

01-Oct-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

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More about this job

Responsibilities

The developer will build and maintain infrastructure for training robotics AI models, including GPU resource management, experiment tracking, and model rollout pipelines. They will collaborate with cross-functional teams to ensure model reproducibility, scalability, and operational readiness.

Requirements

Candidates must hold a Bachelor's or Master's degree in a relevant engineering or science field and possess at least 3 years of experience in ML platform or infrastructure development. Strong proficiency in Python, containerization, and experience with ML frameworks like PyTorch or Ray is required.

Skills

Python
Machine Learning
Robotics
MLOps
Infrastructure Development
Kubernetes
PyTorch
GPU Provisioning
Docker
Slurm
Ray
Model Lifecycle Management
Automation
Linux
CI/CD
Distributed Training

Benefits

Annual discretionary bonus
Flexible work environment
Telecommuting
Digital workspaces
Mentorship programs
Profit sharing
Vacation entitlement
Employee perks and discounts
Social responsibility initiatives

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Robotics
Infrastructure
MLOps
Physical AI
Python
Kubernetes
PyTorch
Ray
Slurm
Docker
CUDA
GPU
Model Registry
Automation
CI/CD
VLA
VLM
Perception
Data Lineage
Observability
DevOps
Cloud Infrastructure
On-premise
Distributed Training
Model Lifecycle
Software Engineering
Robotic Foundation Models
Governance
Traceability

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