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Siemens

Robotics Engineer - Edge Runtime, Physical AI Hub, Kitchener

Kitchener, ON, Canada

Job type: Full-time
Apply by: Oct 31, 2026
Experience: 3+ years Strong experience building robotics, edge, embedded, or performance-sensitive runtime software.
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 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.

Canada

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More about this job

Responsibilities

Develop and optimize edge runtime software for robotics and industrial compute platforms, integrating robots, cameras, sensors, inference services, and runtime components into deployable configurations. Profile and improve system performance, automate provisioning and diagnostics, and debug end-to-end issues across hardware, software, networks, and robot interfaces.

Requirements

Requires a bachelor's or master's degree in a relevant engineering or computer science field and at least three years of experience building robotics, edge, embedded, or performance-sensitive runtime software. Candidates should have strong programming and Linux skills, practical experience with GPU performance and hardware integration, and the ability to debug and support reliable edge workloads.

Skills

Robotics Integration
Edge Runtime Development
C++
Python
Linux
Containerization
GPU Acceleration
Performance Profiling
Model Optimization
Embedded Systems
Device Drivers
Networking
Deployment Automation
NVIDIA Jetson
CUDA
ROS

Benefits

Annual Discretionary Bonus
Flexible Work Hours
Telecommuting
Mentorship Programs
Profit Sharing
Paid Vacation
Vacation Purchase and Sale Options
Social Events
Employee Discounts

Visa sponsorship

Not detected in the job text

Keywords

Physical AI
Edge Runtime
Robotics
Industrial Edge
C++
Python
Linux
Containers
Embedded Linux
Device Drivers
Networking
Inter-Process Communication
GPU Acceleration
NVIDIA Jetson
Jetson Thor
CUDA
TensorRT
DeepStream
Triton
Isaac
ROS
ROS 2
Model Optimization
Quantization
Latency Profiling
Throughput Tuning
Real-Time Systems
Robot Controllers
Camera Interfaces
Performance Testing

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