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Change the future with us.
We are looking for dedicated and talented people who tackle 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.
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.
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 2018, Canada’s Top Employers for Young People 2020 and Greater Toronto’s Top Employers 2021.
Founded in 2012, Comfy | Enlighted is a Siemens-owned business on a mission to connect employees to the people, places, and things they need to do their best work. Our SaaS platform combines building intelligence, space analytics, and a consumer-grade mobile app technology to improve the workplace experience for Fortune 500 companies around the globe. Headquartered in the San Francisco Bay Area, our fast-growing team balances the dynamic energy of a small company with the backing of a global powerhouse of Siemens Canada Limited.
Position Overview
Building Robotics Inc is a trailblazing Silicon Valley company in Smart Buildings and IoT. We’re looking for the brightest minds to join our Canadian team as we build end-to-end IoT solutions from sensors to cloud-based Big Data and web-based applications. One of our core missions is to help our customers meet their sustainability challenges. Our innovative lighting control systems are already delivering energy savings of up to 90% at a large and growing number of Fortune 500 companies. Once deployed in commercial buildings, intelligent lighting networks forms the basis for new IoT applications such as space utilization, traffic flow, asset tracking, and air quality monitoring, allowing customers to gain insights into how their buildings and assets are being used.
Building Robotics is part of the Siemens family of companies, combining the agility and culture of a Silicon Valley start-up with the global reach of an industry heavyweight. You will join an energetic, cross-functional team working to seize an enormous market opportunity, backed by all the resources of Siemens, with approximately 4,300 employees across Canada who work together to deliver solutions for sustainable energy, intelligent infrastructure, healthcare, and the future of manufacturing. Join us in Transforming the Everyday!
What will you do?
As an Algorithms and Data Engineer, you will be part of the energetic Research team, which under the leadership of the CTO is responsible for investigating new areas into which the company may expand to. You will work with the data produced by a variety of IoT sensors to generate unique insights using modern machine learning techniques. You will employ ML together with other algorithms to solve challenging problems. You will be part of a team that builds cutting-edge prototypes which spearhead the development of new customer-facing applications. Your job responsibilities will also include
Research, design and develop algorithms to solve customer problems. Areas may include, but not limited to, real-time location services, computer vision, advanced signal processing and modelling, anomaly detection, predictive analytics.
Develop data science/ML pipelines for data labelling, model training and inference deployed in different environments such as cloud, hybrid, and on-prem.
Help build cutting-edge products with new IoT sensors placed around buildings and feeding data to advanced analytics. For example, correlate Bluetooth low energy (BLE) and motion/PIR signals to predict indoor location
Work in a multi-disciplinary team spanning hardware/firmware, software, and product management.
What will you need to succeed?
Experience solving complex problems with machine learning techniques
Proficient in at least one machine learning framework such as PyTorch and TensorFlow
Confident programming in python and/or C++
Very comfortable working in a Linux-based development environment
Knowledge of cloud-based environments and ML frameworks considered an asset
Experience with data streaming technologies such as Apache Kafka, Amazon Kinesis is considered a plus
Experience and interest in the IoT domain considered an asset
Experience with robotics and any kind of indoor localization systems considered an asset
Outstanding analytical skills and an entrepreneurial mindset
Good communication skills in English
Technologies We Use: Python, Java, Javascript, Typescript, Fast.io, Quarkus, Vue, React Native, Kotlin, Redis, Postgres, Kubernetes, Docker, Jenkins, AWS, GCP, Azure
About us.
We share our ideas and champion the people behind them.
For over 110 years, Siemens Canada has stood for engineering excellence, innovation, quality and reliability. Active across Canada, the company focuses on intelligent infrastructure for buildings and distributed energy systems and on automation and digitalization in the process and manufacturing industries. Siemens brings together the digital and physical worlds to benefit customers and society. Through Mobility, a leading supplier of intelligent mobility solutions for rail and road transport, Siemens is helping to shape Canada’s passenger rail services. Via its majority stake in the publicly listed company Siemens Healthineers, Siemens is also a leading supplier of medical technology and digital health services. In addition, Siemens holds a minority stake in Siemens Energy, a global leader in the transmission and generation of electrical power.
Making a difference together we raised $757,000 towards charitable contributions, support over 23 non-profit organizations and planted 1,100 trees in our local communities. Siemens Canada has 2,500 employees from coast-to-coast and 24 office and production facilities across Canada. Join our team of approximately 293,000 talented professionals in more than 190 countries/regions and help us tackle the most exciting challenges to build a successful future together. So, what are you waiting for? Take your next career step with us.
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.
Organization: Smart Infrastructure
Company: Siemens Canada Limited
Experience Level: Mid-level Professional
Job Type: Full-time
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 Code 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. Tous les candidats qualifiés seront pris en considération pour ce poste.
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