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Added 9 mins ago
Senior Security Architect
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Toronto, ON
Full-time
…formation, and to contribute to the stability of the financial system and the reduction of systemic risk. This mandate is performed through policy, operational, and enforcement activities.…
Added 24 mins ago
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Added 39 mins ago
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Added 39 mins ago
Full Stack Engineer, Revenue
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Added 53 mins ago
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Added 53 mins ago
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…candidates ability to integrate various systems. Knowledge of cloud platforms like AWS is beneficial for deploying applications. Familiarity with CICD pipelines can streamline development…
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Siemens

Robotics Engineer - Edge Runtime, Physical AI Hub, Kitchener

Kitchener, ON, Canada

Experience: 3+ years Strong experience building robotics, edge, embedded, or performance-sensitive runtime software.
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 passionate about making robotics and AI workloads run reliably at the edge? Do you enjoy hands-on engineering across robots, cameras, GPUs, containers, embedded systems, and real-time operational constraints?

We are seeking a Robotics Engineer - Edge Runtime to help build and optimize the edge software layer for the Physical AI Runtime. This engineer will work on edge development, robotics integration, GPU acceleration, model optimization, NVIDIA runtime technologies, Jetson Thor and related acceleration platforms, and the practical performance work needed to run AI-assisted robot workloads near machines.

What you will do:

Bring up edge runtime software on supported robotics, GPU, and industrial edge compute targets.
Integrate robot, camera, sensor, inference, and runtime services into deployable edge configurations.
Profile and optimize latency, throughput, GPU utilization, memory movement, startup time, and resource contention.
Support NVIDIA runtime technologies, Jetson-class platforms, GPU acceleration, and model optimization paths.
Build automation for provisioning, profiling, diagnostics, health checks, and repeatable performance testing.
Debug end-to-end failures across hardware, drivers, containers, networks, inference services, and robot interfaces.
Work with ML Systems, SIMATIC AX, Robotics Integration, QA, and Perception engineers to keep edge behavior predictable.

What you will bring:

Bachelor's or Master's degree in Robotics, Computer Engineering, Electrical Engineering, Software Engineering, Mechatronics, Computer Science, or a related field.
3+ years Strong experience building robotics, edge, embedded, or performance-sensitive runtime software.
Strong programming skills in C++, Python, or similar languages used for robotics systems, runtime services, and hardware integration.
Experience with Linux, containers, device drivers, networking, IPC, system services, profiling tools, and deployment automation.
Practical understanding of GPU acceleration, memory movement, latency profiling, throughput tuning, and resource budgeting.
Experience integrating robots, cameras, sensors, edge compute, and runtime services into a working system.
Ability to debug failures across hardware, drivers, network paths, containers, inference services, robot interfaces, and runtime orchestration.
Experience defining health checks, resource budgets, startup behavior, degraded modes, and recovery behavior for edge workloads.
Comfortable working hands-on with lab equipment, prototype cells, imperfect hardware, and evolving integration requirements.

What sets you apart:

Experience with NVIDIA Jetson, Jetson Thor, CUDA, TensorRT, DeepStream, Triton, Isaac, or comparable acceleration and robotics tooling.
Experience deploying VLM, VLA, perception, or robot-learning workloads on edge GPUs or constrained compute targets.
Knowledge of Industrial Edge, embedded Linux, real-time systems, fieldbus or industrial networks, robot controllers, and camera interfaces.
Experience optimizing model execution through quantization, batching, graph optimization, memory layout, runtime selection, or hardware-specific tuning.
Familiarity with UR robots, robot APIs, ROS or ROS2, proprietary robot interfaces, trajectory execution, and safety-rated boundaries.
Ability to distinguish benchmark performance from end-to-end cell performance.
Strong practical judgment about what must run on edge, what can run elsewhere, and how to keep the runtime supportable.

Work environment:

This role includes hands-on work with robot cells, edge computers, GPUs, cameras, sensors, and prototype hardware.
Hybrid work is supported, with on-site presence expected for hardware bring-up, profiling, integration debugging and reference-cell validation.

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.

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 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

524235

Posted since

30-Sep-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

You will build and optimize the edge software layer for the Physical AI Runtime, integrating robotics, sensors, and inference services. This involves profiling performance, debugging end-to-end failures, and automating deployment and diagnostics for edge compute targets.

Requirements

Candidates must hold a Bachelor's or Master's degree in a relevant engineering or computer science field with at least 3 years of experience in robotics or embedded software. Strong proficiency in C++ or Python and experience with Linux, GPU acceleration, and containerized environments are required.

Skills

Robotics
C++
Python
Linux
GPU acceleration
Embedded systems
CUDA
TensorRT
Docker
ROS2
Edge computing
Performance profiling
System integration
Hardware debugging
Model optimization
Networking

Benefits

Annual discretionary bonus
Flexible work environment
Profit sharing
Vacation entitlement
Mentorship programs
Employee perks and discounts
Social events

Visa sponsorship

Not detected in the job text

Keywords

Robotics Engineer
Edge Runtime
Physical AI
GPU Acceleration
NVIDIA Jetson
CUDA
TensorRT
DeepStream
Triton
Isaac
Embedded Linux
Containerization
Performance Profiling
Latency Optimization
Robot Operating System
ROS2
Industrial Edge
Hardware Integration
Device Drivers
System Services
Deployment Automation
Inference Services
Mechatronics
Computer Engineering
Software Engineering
Industrial Networks
Robot Controllers
Camera Interfaces
Trajectory Execution
Safety-rated boundaries

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