This role involves designing, building, and maintaining scalable data processing systems for CrowdStrike's Intelligence team. You will work on large-scale distributed systems, interact with analysts, and ensure smooth operations of the systems you develop.
This role involves building and maintaining large-scale data processing pipelines and systems for CrowdStrike's Intelligence team. Responsibilities include designing, prototyping, implementing, and deploying systems, as well as interacting with internal customers to gather requirements and provide training.
This role involves building and maintaining large-scale data processing pipelines and systems for CrowdStrike's Intelligence team. Responsibilities include designing, prototyping, implementing, and deploying systems that support intelligence analysts and researchers. The role requires deep expertise in scalable, distributed architectures and the ability to work independently in a remote, geographically distributed team.
This role involves acting as a technical expert and customer advocate for identity security solutions, focusing on machine, workload, and AI identities. The candidate will develop reference architectures, create technical content, and support sales teams in complex customer environments. They will also drive market education and feed insights back to product teams to shape future offerings.
This role involves guiding EMEA-based AI companies and enterprises in deploying and optimizing large-scale AI inference workloads on multi-node GPU clusters. The Senior Solutions Architect will design efficient inference pipelines for dense and sparse Mixture-of-Experts (MoE) models, optimize performance across quantization, speculative decoding, and memory management, and collaborate with NVIDIA product teams to drive technical innovation. The position also includes leading technical workshops and shaping reference architectures to advance scalable AI inference in high-performance computing environments.
This role involves guiding AI-native customers in deploying and optimizing large-scale inference workloads on multi-node GPU clusters, with a focus on architecting efficient pipelines for dense and sparse Mixture-of-Experts models. The Senior Solutions Architect will tackle challenges in quantization, speculative decoding, KV cache management, and interconnect-aware scheduling, while collaborating closely with NVIDIA product teams and leading technical communities across EMEA. Work centers on advancing high-performance AI inference systems at scale, particularly in memory-bound and distributed environments.
This role involves guiding EMEA AI customers in deploying and optimizing large-scale AI inference workloads on multi-node GPU clusters, with a focus on MoE models and advanced optimization techniques like speculative decoding and KV cache management. The Senior Solutions Architect will collaborate with NVIDIA’s product teams and lead technical engagement through workshops and reference architectures. The position sits at the intersection of AI and high-performance computing, tackling challenges in distributed inference and next-generation architectures.
This role involves guiding EMEA-based AI companies in deploying and optimizing large-scale AI inference workloads on multi-node GPU clusters. The Senior Solutions Architect will design efficient inference pipelines for dense and sparse Mixture-of-Experts (MoE) models, improve performance through quantization and speculative decoding, and collaborate with NVIDIA’s product teams. The position also includes leading technical workshops and shaping next-generation inference architectures at the intersection of AI and high-performance computing.
This role involves architecting and optimizing large-scale AI inference solutions on multi-node GPU clusters, focusing on performance, efficiency, and reliability for leading AI organizations. You will guide customers in deploying dense and sparse Mixture-of-Experts models, optimize inference pipelines using advanced techniques like speculative decoding and quantization, and collaborate with NVIDIA product teams to drive innovation. The position also includes leading technical engagement through workshops and developing reference architectures for the EMEA region.
Lead and develop a high-performing Corporate Sales Engineering team, driving technical excellence and strategic pre-sales support for enterprise clients. Guide complex sales cycles, design security solutions, and represent CrowdStrike in executive engagements. Focus on AI-driven innovation, team development, and scaling technical sales processes in a fast-paced cybersecurity environment.
This role involves leading technical partnerships with frontier AI labs to integrate NVIDIA's GPU and software stack into advanced AI workloads, from research to inference. The candidate will identify emerging technical requirements, optimize performance on NVIDIA platforms, and translate partner insights into product roadmap influence. It combines deep technical engagement with strategic collaboration across research, infrastructure, and product teams to drive joint innovation and scale AI systems.
This role involves building deep technical partnerships with leading AI research labs and model builders to integrate NVIDIA's GPU, systems, and software stack into cutting-edge AI workloads. The individual will identify performance bottlenecks, drive platform optimisation across training, post-training, and inference, and translate technical insights into product roadmap influence. It combines frontier AI research understanding with infrastructure expertise to shape both partner success and NVIDIA’s future platform development.
This role involves serving as a technical advisor and champion for the developer ecosystem in Healthcare and Lifesciences, accelerating workloads by integrating NVIDIA’s AI and computing platforms, and fostering co-innovation with partners. Responsibilities include technical enablement, ecosystem mapping, and cross-functional collaboration to drive adoption and solve real-world challenges.
This role involves architecting and optimizing large-scale AI inference solutions on multi-node GPU clusters, focusing on advanced techniques like Mixture-of-Experts (MoE) serving, quantization, speculative decoding, and interconnect-aware scheduling. The Senior Solutions Architect will work closely with leading AI companies and NVIDIA's product teams to drive performance, efficiency, and adoption of NVIDIA's inference stack. Responsibilities include technical leadership, customer engagement, and community building through workshops and reference architectures.
Lead the development of advanced AI safety evaluations to assess risks in critical domains like CBRN and cybersecurity. Conduct original research from concept to publication, shape methodological strategy, and collaborate with frontier labs and government stakeholders. Focus on rigorous, scientifically grounded approaches to red-teaming, robustness testing, and evaluation design.
