HPC Lead

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. What You'll Do - 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. **What You Bring** - 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 **Bonus Points** - 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., TensorFlow, PyTorch, HPC libraries) - Background in budget management and strategic procurement for technology infrastructure