Staff Engineer Material Generation
Listed on 2026-08-24
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Software Development
Backend Developer, Software Architect, AI Engineer (Applied/Software), Software Engineer
Company Description
Crop Protection is a leader in agricultural innovation, bringing breakthrough technologies and solutions that enable farmers to grow productively and sustainably. We offer a leading portfolio of crop protection solutions for plant and soil health, as well as digital solutions that transform the decision-making capabilities of farmers. Our 17,900 employees serve to advance agriculture in more than 90 countries around the world.
Syngenta Crop Protection is headquartered in Basel, Switzerland, and is part of the Syngenta Group.
Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture.
Job DescriptionWe are looking for a Staff Engineer, Material Generation to support applications enabling material generation, compound discovery, and scientific workflows. This is an opportunity to work at the intersection of advanced technology and agricultural R&D, partnering with engineers, product leaders, and scientific stakeholders on capabilities with real-world impact. Help accelerate the digital capabilities that support more sustainable agriculture and scientific innovation.
WhatYou'll Do
- Lead and apply deep expertise in Python or Java backend engineering to deliver durable, scalable outcomes.
- Lead and apply deep expertise in software architecture and integration patterns to deliver durable, scalable outcomes.
- Lead and apply deep expertise in AI-assisted engineering with rigorous review to deliver durable, scalable outcomes.
- Lead and apply deep expertise in React or Angular awareness to deliver durable, scalable outcomes.
- Lead and apply deep expertise in quality, test, and documentation standards to deliver durable, scalable outcomes.
- Lead and apply deep expertise in scientific workflow partnership to deliver durable, scalable outcomes.
- Mentor and guide junior and mid-level engineers, fostering a culture of technical excellence and continuous learning.
- Conduct thorough code reviews and establish technical standards that promote maintainability, performance, and security across the platform.
- Collaborate across engineering, product, and scientific teams to translate complex needs into practical solutions.
- Optimize system performance and scalability, identifying and addressing bottlenecks in material generation workflows.
- Lead incident response and troubleshooting efforts, ensuring rapid resolution of critical issues in production environments.
- Set a high bar for quality, documentation, and thoughtful use of AI-assisted engineering throughout the organization.
Required Qualifications
- Demonstrable experience in Python or Java backend engineering
- Demonstrable experience in software architecture and integration patterns
- Demonstrable experience in AI-assisted engineering with rigorous review
- Demonstrable experience in React or Angular awareness
- Demonstrable experience in quality, test, and documentation standards
- Demonstrable experience in scientific workflow partnership
- Demonstrable experience in technical leadership without line authority
- Demonstrable experience designing and implementing scalable APIs and integration patterns
- Demonstrable experience with cloud platforms and microservices architecture
- Strong communication skills and the ability to influence across technical and non-technical stakeholders
- Fluent English, written and spoken
- Experience in agriculture, life sciences, scientific computing, or a regulated enterprise environment
- Experience building platforms, products, or services used by multiple internal teams
- Experience working in distributed, international engineering organizations
- Experience with CI/CD pipelines, Dev Ops practices, and infrastructure automation
- Experience mentoring and developing engineering talent at multiple career levels
- Experience optimizing system performance and managing scientific data workflows at scale
- Extensive benefits package including a generous pension scheme, bonus scheme,…
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