Underneath the iconic green and yellow exteriors, John Deere’s machinery operates on a range of intriguing tech, from autonomous AI to VR. While Deere may be well-known for its machines, humans are at the heart of the work. That’s why employees are given autonomy and flexibility to work in ways that fit their lives, whether they are family-focused or in pursuit of illustrious accolades. External Partnerships Manager Brij Singh credited the opportunities and freedom he receives from John Deere for making a prestigious Congressional engineering fellowship he recently received possible. “Leadership’s trust in, and empowerment of, employees makes all the difference. It’s what makes this the perfect place to work,” he said.
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Cybersecurity
Moving the world forward comes with its own set of risks. That’s why John Deere formed the Cyber Security Defense Center to continuously help defend the company’s systems, products and infrastructure from external threats and cyberattacks. The Cyber Security Defense Center promotes security in various ways, including through the Security by Design program, which combines people, processes and technologies to create a culture of security throughout the product development lifecycle, with security professionals sitting on development teams to secure code, educate and share best practices. By leveraging code-scanning technologies, program members can find potential vulnerabilities in software code while it is still being written.
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Artificial Intelligence • Cloud • Internet of Things • Machine Learning • Analytics • Industrial
Develop tooling strategies for molding and casting processes, manage projects, collaborate with engineering, and facilitate quality planning for foundry operations.
Artificial Intelligence • Cloud • Internet of Things • Machine Learning • Analytics • Industrial
The Manufacturing Engineer supports assembly operations, implements continuous improvement projects, and establishes labor standards and layouts.
Artificial Intelligence • Cloud • Internet of Things • Machine Learning • Analytics • Industrial
The Senior Engineer will plan and coordinate machine learning work for product engineering, providing technical leadership and consulting across teams while optimizing engine and aftertreatment systems.
