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Added 12 mins ago
Systems Verification & Validation Engineer
Aversan Inc.
Mill Bay, BC
$95,000 to $115,000 CAD / year
Full-time
Work with the Interview/Test Team to safely verify and validate the product.
Added 13 mins ago
Senior Software Engineer
Spotify
Toronto, ON
Spotify is looking for a Senior Software Engineer to join the Authorization team within Platform. Our team builds and operates the authorization and permissioning systems that enable…
Added 27 mins ago
Building Science Engineer
BPA
Montreal, QC
Full-time
We are seeking a Building Science Engineer who is passionate about the performance of existing buildings and the quality of the built environment. Reporting to the Project Director, the…
Added 27 mins ago
Applications Engineer Senior
Zebra Technologies
Montreal, QC
Full-time
Evaluate product performance and usability challenges in order to identify the core issue and
Added 27 mins ago
Application Support Engineer with SRE
VySystems
Calgary, AB
Full-time
- Collaborate with software development teams, contribute operational insights to product planning, review designs for supportability, and participate in code reviews.
Added 28 mins ago
Product Engineer - VTCA
Vuteq Canada Inc.
Woodstock, ON
$60,000 to $97,000 CAD / year
These is a new open position for a Product Engineer to join our team!
Added 28 mins ago
Development Engineer - VTCA
Vuteq Canada Inc.
Woodstock, ON
$60,000 to $97,000 CAD / year
These is a new open position for a Development Engineer to join our team!
Added 28 mins ago
Field Engineer I – Upstream Chemicals
Baker Hughes
AB · CA-AB-OTHER ALBERTA
Full-time
As a Field Engineer I, you will gain hands-on experience supporting our Fluids Separation business while working directly with customers to solve real production challenges. As part of…
Added 28 mins ago
Senior Integration Developer -C Business Intel
Trillium Health Partners
Mississauga, ON
Full-time
Position: Senior Business Intelligence Data Engineer
Added 43 mins ago
Software Developer
Equifax
Montreal, QC · CAN - Montreal
Full-time
…are a forward-thinking, committed, and enthusiastic software engineer who is passionate about…
Added 43 mins ago
Senior Software Engineer
Fleetworthy
Edmonton, AB
Collaborate with product team on technical feasibility and story breakdown
Added 43 mins ago
Principal Software Engineer, SecureAI
Okta
Toronto, ON
We are a diverse team of engineers, product managers, and designers who are bringing Okta’s expertise in identity to define the future of Agent Identity management, focusing on enablement…
Added 43 mins ago
Quality Engineer - 12 Months Contract
Apollo Health And Beauty Care
Toronto, ON
$80,000 to $90,000 CAD / year
Full-time
The Quality Engineer is responsible for delivering all aspects of the Operations Quality Assurance function on an on-going basis in line with the Quality Management System and Quality…
Added 43 mins ago
Staff Software Engineer, User Targeting
Braze
Toronto, ON
We’re looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users.…
Added 43 mins ago
Senior Software Engineer I, Core Objects
Braze
Toronto, ON
We’re looking for a Senior Fullstack Engineer to help us tackle significant engineering challenges, such as: extending our high-scale ingestion pipeline to ingest new and advanced data…
Added 57 mins ago
Staff Software Engineer, User Targeting
Braze
Toronto, ON
Full-time
We’re looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users.…
Added 57 mins ago
Senior Software Engineer I, Core Objects
Braze
Toronto, ON
Full-time
We’re looking for a Senior Fullstack Engineer to help us tackle significant engineering challenges, such as: extending our high-scale ingestion pipeline to ingest new and advanced data…
Added 57 mins ago
Software Development Engineer I
Expedia Group
Vancouver, BC
$65,500 to $92,000 CAD / year
Full-time
Translate product requirements and technical designs into clean, maintainable, and well-tested code.
Added 57 mins ago
Platform API Engineer
High Tech Genesis
Ottawa, ON
Contract
We are seeking a Platform API Engineer to design, develop, and maintain scalable APIs and backend services that support modern applications and enable engineering teams to build new…
Added 57 mins ago
Senior Full-Stack Engineer
High Tech Genesis
Ottawa, ON
Contract
We are looking for a Senior Full-Stack Engineer to join a product-focused engineering team working on enterprise software applications. This role combines strong front-end development,…
Added 57 mins ago
Senior Front-End Engineer
High Tech Genesis
Ottawa, ON
Contract
We are looking for a Senior Front-End Engineer to join a product-focused engineering team developing and enhancing enterprise software applications.
Added 58 mins ago
Applied AI Engineer, Video Agent
HeyGen
Toronto, ON
…pipeline. Customers use it every day to make training videos, product explainers, marketing content, and…
Added 58 mins ago
iOS Developer, International
Robinhood
Toronto, ON
…markets across iOS, Android, web, and backend. The team is product-agnostic and helps bring Robinhood’s Brokerage, Money, and Crypto products to new markets, partnering closely on…
Added 58 mins ago
Programme de perfectionnement des diplômés d’Armstrong – Volet Ventes techniques et ingénierie d’application
Armstrong Fluid Technology
Laval, QC
Full-time
…brightest and most creative minds, driven by a shared mission to engineer the future and safeguard our…
Added 1 hour ago
Senior User Terminal System Engineer
Telesat
Ottawa, ON
Full-time
Telesat is seeking a motivated User Terminal System Engineer to support the development, integration, verification, and documentation of Lightspeed User Terminal solutions. This role…

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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