Senior AI/ML & Robotics Platform Engineer
- Kitchener, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Posting language
- English
- Posted
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 challenge of turning robotics data into usable foundations for advanced AI systems? Do you enjoy working at the boundary between machine learning, robotics, data engineering, evaluation, and industrial software?
We are seeking a Senior AI/ML & Robotics Platform Engineer to help define the data, metadata, validation, and evaluation backbone for a Physical AI platform in Canada. This role will be central to connecting robotics data engineering with future support for Level 3 skills, model evaluation, finetuning readiness, and advanced AI-assisted robotic applications.
You will work closely with platform architects, robotics integration engineers, backend developers, and research stakeholders to ensure that robotics data is structured, trustworthy, usable, and aligned with downstream AI and product needs.
What will you do?
Why you’ll love working for Siemens!
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
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 challenge of turning robotics data into usable foundations for advanced AI systems? Do you enjoy working at the boundary between machine learning, robotics, data engineering, evaluation, and industrial software?
We are seeking a Senior AI/ML & Robotics Platform Engineer to help define the data, metadata, validation, and evaluation backbone for a Physical AI platform in Canada. This role will be central to connecting robotics data engineering with future support for Level 3 skills, model evaluation, finetuning readiness, and advanced AI-assisted robotic applications.
You will work closely with platform architects, robotics integration engineers, backend developers, and research stakeholders to ensure that robotics data is structured, trustworthy, usable, and aligned with downstream AI and product needs.
What will you do?
- Define robotics dataset structures, metadata schemas, quality rules, and validation logic for industrial data collection and AI enablement.
- Help design how robot state, action data, task context, vision streams, annotations, and environmental metadata are captured and represented.
- Drive approaches for dataset versioning, reproducibility, lineage, and training/evaluation readiness.
- Support the design of VLA-related data collection and Level 3 skill enablement interfaces.
- Develop validation pipelines and quality checks for robotics data completeness, alignment, synchronization, and usability.
- Work with research-facing stakeholders to translate model and evaluation needs into practical platform requirements.
- Support handoff patterns between data collection, governance, review workflows, and downstream AI/ML consumers.
- Collaborate with robotics integration engineers on practical semantics for robot episodes, sensor timelines, and action representations.
- Help establish evaluation-ready datasets, benchmarking inputs, and structured feedback loops between platform and AI development.
- Contribute code, prototypes, tooling, and technical guidance across platform and data workflows.
- Master’s degree or equivalent experience in Computer Science, Robotics, Machine Learning, Data Engineering, Artificial Intelligence, or a related field.
- Strong experience in Python and modern data engineering or ML tooling.
- Experience working with structured and unstructured datasets, metadata, validation workflows, and quality management.
- Good understanding of AI/ML workflows, robotics data, perception data, or model evaluation pipelines.
- Ability to bridge technical detail across software, data, and AI teams.
- Strong analytical and problem-solving skills.
- Practical mindset and willingness to work in ambiguous, early-stage platform environments.
- Experience with robotics, robot learning, teleoperation data, vision-language-action workflows, or embodied AI.
- Experience with PyTorch ecosystem tooling, experiment tracking, MLOps, or evaluation pipelines.
- Familiarity with ROS/ROS2, robot logs, trajectory data, or multimodal data synchronization.
- Experience with industrial environments, edge collection systems, or sensor-rich datasets.
- 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.
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
More about this job
Responsibilities
Define and design the data, metadata, and validation backbone for a Physical AI platform to support advanced robotics skills. Collaborate with cross-functional teams to ensure robotics data is structured, trustworthy, and aligned with AI model evaluation and training needs.
Requirements
Requires a Master's degree or equivalent in Computer Science, Robotics, or a related field with strong proficiency in Python and data engineering. Candidates should have experience with AI/ML workflows, robotics data, and the ability to work in ambiguous, early-stage platform environments.
Skills
- Python
- Data Engineering
- Machine Learning
- Robotics
- PyTorch
- ROS/ROS2
- MLOps
- Metadata Schema Design
- Dataset Versioning
- Model Evaluation
- VLA Workflows
- Embodied AI
- Multimodal Data Synchronization
- Validation Pipelines
- Industrial Software
- Backend Development
Benefits
- Annual Discretionary Bonus
- Flexible Work Environment
- Flex Hours
- Telecommuting
- Digital Workspaces
- Mentorship Programs
- Profit Sharing
- Vacation Entitlement
- Employee Perks and Discounts
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Engineering
- Software
- Data & Analytics
- Manufacturing
Keywords
- Physical AI
- Robotics
- Machine Learning
- Data Engineering
- Python
- PyTorch
- ROS
- ROS2
- MLOps
- VLA
- Embodied AI
- Metadata
- Dataset Versioning
- Model Evaluation
- Industrial Automation
- Sensor Fusion
- Trajectory Data
- Teleoperation
- Backend Development
- Data Governance
- Validation Pipelines
- Multimodal Data
- Edge Collection
- Siemens
- Automation Machinery Manufacturing