Robotics Integration Engineer – Robot, Vision & Edge Connectivity, Kitchener, ON

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: Robotics Integration Engineer for Robot, Vision, and Edge Connectivity Are you a robotics software engineer who enjoys connecting real-world systems to scalable software platforms? Do you like working with robots, cameras, sensors, edge systems, APIs, and data flows that bridge physical systems and software intelligence? We are seeking a Robotics Integration Engineer to connect robot systems, camera systems, sensors, edge devices, and teleoperation or runtime-adjacent data sources into the Canada Physical AI platform. This role is critical for enabling practical data collection, connector strategies, and the foundations for future workflow execution and Level 3 skill support. You will help ensure that real industrial robotics and sensing systems can be integrated into a coherent, reliable, and reusable platform architecture! What will you do? Build and maintain integrations with robot controllers, camera systems, sensors, PLC/edge systems, and other physical data sources. Develop connector patterns for robot state, action, telemetry, timing, event, and perception data. Support practical approaches for high-frequency data capture and synchronization where needed. Integrate robotics-related software components such as ROS/ROS2, device SDKs, vendor APIs, and edge adapters where appropriate. Collaborate with platform architects and backend engineers to define reusable interface contracts between physical systems and platform services. Help enable basic VLA data collection patterns by combining robot state and vision/perception streams. Support data quality, calibration, timestamping, modality alignment, and integration troubleshooting. Contribute to the design of validation and inspection workflows for robotics episodes and system behavior. Help shape future support for workflow execution and machine-level orchestration by ensuring connectivity designs are scalable and extensible. Work closely with customer-facing or pilot-oriented teams when new robotic sources must be onboarded. What you will bring: Master’s degree or equivalent experience in Robotics, Computer Science, Electrical Engineering, Mechatronics, or a related field. 5+ years of experience with robotics software, integration engineering, or edge-connected systems. Experience with Python and/or C++ in robotics or integration-heavy environments. Familiarity with ROS/ROS2, robot APIs, camera/sensor systems, and practical integration debugging. Understanding of robot-state data, telemetry, task execution context, and perception or control-adjacent signals. Strong systems thinking and comfort working across hardware-software boundaries. Ability to work hands-on in a fast-moving, cross-disciplinary engineering team. What sets you apart: Experience with industrial robots, PLC-connected systems, teleoperation data, or industrial camera systems. Experience with time synchronization, multimodal sensor fusion, or high-throughput data capture. Familiarity with UR, RTDE-like interfaces, edge compute setups, or industrial middleware. Exposure to robotics validation harnesses, simulation environments, or physical AI experimentation. 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: Salary is commensurate with experience, and base salary ranges between $130,000 - $ 155,000 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

Build and maintain integrations between robot controllers, camera systems, sensors, and edge devices into the Canada Physical AI platform. Develop connector patterns and scalable architectures to enable high-frequency data collection and workflow execution.

Requires a Master's degree in Robotics, Computer Science, or a related field with over 5 years of experience in robotics software or integration engineering. Proficiency in Python, C++, and ROS/ROS2 is essential for managing hardware-software boundaries.

• Annual Discretionary Bonus • Flexible Work Environment • Flex Hours • Telecommuting • Digital Workspaces • Mentorship Programs • Competitive Total Rewards Package • Profit Sharing • Vacation Entitlement • Employee Perks and Discounts

• C++Souhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Robotics Integration
• Python
• C++
• ROS/ROS2
• Edge Computing
• Sensor Fusion
• API Integration
• PLC Systems
• Computer Vision
• System Architecture
• Data Synchronization
• Teleoperation
• Industrial Robotics
• Mechatronics
• Hardware-Software Integration
• Multimodal Data Capture

• Engineering
• Technology
• Software
• Manufacturing
• Science & Research

Formation minimale

Maîtrise

Expérience minimale

5+ ans

Postuler avant le

5 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level