John Deere

HQ
Moline, Illinois, USA
Total Offices: 8
69,000 Total Employees
Year Founded: 1837

Teams at John Deere

Team

Product & Tech

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.

Learn More
Team

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.

Learn More

Recently posted jobs

Yesterday
Hybrid
Dubuque, IA, USA
Artificial Intelligence • Cloud • Internet of Things • Machine Learning • Analytics • Industrial
The Electrical Engineer will develop technical documents, lead verification activities, solve electrical issues, and mentor other engineers at John Deere.
2 Days Ago
Remote
Hybrid
Urbandale, IA, USA
Artificial Intelligence • Cloud • Internet of Things • Machine Learning • Analytics • Industrial
As a Part Time Student in Product Engineering, you will develop software, participate in design reviews, and operate in an Agile team environment.
Artificial Intelligence • Cloud • Internet of Things • Machine Learning • Analytics • Industrial
Develop reporting tools, automate quality tasks, manage SharePoint site, and participate in training and projects as a part-time supplier quality student.