Job Description

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Siemens Battery Accelerator seeking a Software Engineer specialized in Computer Vision to contribute to the design and development of petabyte scale vision and image analysis solutions, working with data collected from a variety of industrial camera systems at battery gigafactories.

About Siemens Battery Accelerator: We are a global network of teams comprised of researchers, engineers, and technologists. With a passion for sustainability, we work collectively to revolutionize all aspects of battery development, including design, manufacturing, and recycling, to enable the rapid transition of our grid and mobility systems to renewable energies. Our team in Canada is responsible for building state-of-the-art IIoT platforms and global-scale data systems that serve our partnering gigafactories worldwide, as well as our internal teams of experts.

This is a hybrid role based out of our newly established office in Kitchener, ON. What you will do:

• Design and develop robust and scalable vision and image analysis solutions tailored for battery manufacturing environments, utilizing data from a variety of industrial camera systems and
• Create algorithms and processes for the integration of vision and sensor data, ensuring cohesive and efficient data analysis across manufacturing steps.
• Develop high-performance and low-latency real-time image analysis solutions for deployment on edge devices.
• Collaborate closely with data, platform, and application engineers to ensure seamless, end-to-end integration of vision solutions into the broader manufacturing optimization platforms.
• Engage in MLOps and ML Engineering activities to streamline the deployment, monitoring, and maintenance of machine learning models in production environments, including edge, public cloud, and private cloud environments.

Minimum qualifications:

• Masters degree in Computer Science, Software Engineering, Systems Engineering, or a related technical discipline, with specialization in computer v
• 5+ years of experience focused on the design, development, and deployment of computer vision systems in industrial, research, or technological contexts.
• In-depth practical and theoretical expertise in deep learning and its applications in computer vision.
• Strong understanding of Software Engineering principles and practices, as well as proficiency in setting up and maintaining CI/CD pipelines and processes.
• Hands-on experience with containerization and orchestration tools.
• Proficiency with Python and C/C++.

Preferred qualifications:

• PhD in Computer Vision, Machine Vision, Deep Learning, or a related field.
• Familiarity with WebSocket, gRPC, and MQTT protocols.
• Experience interfacing with industrial camera systems.
• Experience working with international teams.
• Proficiency with Golang.

Shape the future with us:

We encourage the sharing of innovative ideas, and champion the people behind them. We seek individuals driven by both skill and ingenuity, capable of navigating an ever-evolving landscape of challenges, customer demands, and interdisciplinary inquiries. Fueled by a culture of curiosity, we are committed to revolutionizing the future of work. Join our collective endeavor to impact lives globally through cutting-edge technology and transformative ideas.

About Siemens Canada:

For over 110 years, Siemens Canada has stood for engineering excellence, innovation, quality, and reliability. We are a technology leader, providing comprehensive solutions for Smart Infrastructure and Digital Industries. We set the benchmark in transforming the world around us by innovating in the way we electrify, automate, and digitize. Ingenuity propels us forward, and the fruits of our collaboration define what truly matters to us.

Making a difference together, we raised $385,000 towards charitable contributions, supporting over 38 non-profit organizations and driving sustainability in our local communities. Siemens Canada has 2,500 employees from coast-to-coast and 24 office and production facilities across the country. 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!

Why you will love working at Siemens:

• Enjoy a Flexible Work Environment with Career Advancement Opportunities: Embrace a healthy work-life balance with flexible hours, telecommuting, and digital workspaces, while also advancing your career through local and global mentorship programs.
• Solve Significant and Impactful Problems in Technology Innovation: Be a part of exciting, innovative projects aimed at addressing the world\xe2\x80\x99s most significant issues, all within an engaging, challenging, and rapidly evolving, cutting-edge technological environment.
• Comprehensive Rewards & Benefits Package: Enjoy our competitive total rewards package which includes profit sharing, flexible vacation policies with the option to buy and sell your vacation depending on your lifestyle, and opportunities to be compensated for your innovative ideas. Additional perks and discounts are also part of the package.
• Partake in Social Initiatives in a Diverse and Inclusive Environment: Contribute to our social responsibility initiatives focused on improving access to education, technology, and sustainable communities. Make a positive impact and thrive in our diverse and inclusive work environment.

Siemens is proud to be an eight-time award winner of Canada\xe2\x80\x99s Top 100 Employers, Canada\xe2\x80\x99s Greenest Employers 2022, Canada\xe2\x80\x99s Top Employers for Young People 2023, and Greater Toronto\'s Top Employers 2022.

#LI-Hybrid

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 .

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