HPC Lead

Company Description

Syngenta 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.

Syngenta 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.

We are looking for a HPC Lead to manage high-performance computing infrastructure for R&D scientists, including clusters, GPUs, storage and notebook environments. 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. Give scientists dependable access to the compute capacity needed to advance complex research.

• Lead and apply deep expertise in HPC cluster management to deliver durable, scalable outcomes.
• Lead and apply deep expertise in NVIDIA GPU architecture and provisioning to deliver durable, scalable outcomes.
• Lead and apply deep expertise in MPI, storage and job scheduling to deliver durable, scalable outcomes.
• Lead and apply deep expertise in modern orchestration and Kubernetes-native HPC to deliver durable, scalable outcomes.
• Lead and apply deep expertise in HPC vendor and investment strategy to deliver durable, scalable outcomes.
• Lead and apply deep expertise in scientific-computing workload fluency to deliver durable, scalable outcomes.
• Collaborate across engineering, product and scientific teams to translate complex needs into practical solutions.
• Set a high bar for quality, documentation and thoughtful use of AI-assisted engineering.
• Monitor system performance, identify bottlenecks, and implement optimization strategies to maximize computational efficiency and resource utilization.
• Establish and enforce security protocols, compliance standards, and disaster recovery procedures to ensure system reliability and data protection.
• Manage HPC infrastructure budgets, evaluate vendor solutions, and make strategic procurement decisions that balance cost, performance and organizational needs.
• Lead, mentor and develop engineering team members, fostering a culture of continuous learning and technical excellence.
• Create comprehensive documentation, training materials and best practices guides to enable scientists and engineers to effectively utilize HPC resources.

• Demonstrable experience in HPC cluster management
• Demonstrable experience in NVIDIA GPU architecture and provisioning
• Demonstrable experience in MPI, storage and job scheduling
• Demonstrable experience in modern orchestration and Kubernetes-native HPC
• Demonstrable experience in HPC vendor and investment strategy
• Demonstrable experience in scientific-computing workload fluency
• Demonstrable experience in AI-assisted engineering for automation
• Proven experience leading and mentoring engineering teams to drive technical excellence
• Strong background in infrastructure-as-code and configuration management tools
• Experience with HPC performance monitoring, profiling and optimization techniques
• Knowledge of security protocols, compliance standards and disaster recovery procedures for high-performance computing environments
• 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 organisations
• Familiarity with popular scientific computing frameworks and libraries (e.g., Tensor Flow, PyTorch, HPC libraries)
• Background in budget management and strategic procurement for technology infrastructure

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