The Account Executive will own and grow enterprise accounts within the Life Sciences and Pharmaceutical sectors by identifying and converting net-new business opportunities. They will lead complex, multi-stakeholder sales cycles while partnering with technical teams to deliver AI and data infrastructure solutions.
The Technical Support Engineer provides first-level support for storage solutions by troubleshooting hardware, software, and networking issues. They are responsible for managing customer cases from intake to resolution, including log analysis, documentation, and cross-team collaboration.
Design, develop, and debug LustreFS features and fixes, while investigating customer and scale-related issues across client, metadata, object storage, network, and backend layers. Improve performance, reliability, observability, and serviceability through testing, reviews, documentation, and AI-assisted engineering workflows.
The Client Director will drive revenue growth for AI infrastructure solutions across the Middle East by developing strategic account plans and managing the full enterprise sales cycle. They will collaborate with engineering teams and channel partners to deliver complex high-performance computing and data storage solutions to enterprise and research clients.
You will design and implement infrastructure solutions, including storage systems, file servers, and middleware for high-profile clients. The role involves collaborating with sales and presales teams to deliver large-scale projects for universities and major corporations.
You will provide advanced technical support to resolve complex system-level issues for customers while collaborating with engineering teams. The role involves maintaining high customer satisfaction, documenting technical resolutions, and mentoring team members on support protocols.
The Client Director will drive revenue growth for AI infrastructure solutions across the DACH region by developing strategic account plans and managing the full enterprise sales cycle. They will collaborate with internal engineering teams and channel partners to design and present complex high-performance data storage and GPU computing solutions to senior technical and executive stakeholders.
Provide advanced technical support for high-performance storage solutions and act as a senior escalation point for complex customer issues. Collaborate with global engineering teams to resolve incidents, improve product quality, and ensure seamless support coverage across time zones.
The Senior Designated Support Engineer will provide high-level technical support for DDN's critical customers, focusing on resolving complex Lustre file system issues. The role involves direct customer interaction, creating test plans for upgrades, and collaborating with engineering teams to enhance product quality.
Provide advanced technical support for high-performance storage solutions and act as a senior escalation point for complex customer issues. Collaborate with global engineering and support teams to ensure seamless case handoffs and improve product quality through root cause analysis.
The role focuses on identifying and accelerating strategic AI infrastructure opportunities through NVIDIA and the broader AI ecosystem across EMEA. It involves building executive relationships with cloud providers, AI-native companies, and partners to drive pipeline growth.
The Value Engineering Manager translates technical AI and data infrastructure capabilities into measurable business outcomes for enterprise customers across EMEA. This includes leading value discovery workshops and building ROI and TCO models to justify investments.
Architect high-performance storage solutions for AI, ML, and HPC workloads across various strategic industries. Act as a trusted technical advisor by translating customer requirements into scalable architectures and conducting POCs.
Deploy and customize DDN AI solutions, including NVIDIA AI Enterprise services and vector databases, for strategic customers. Drive operational efficiency through automation, tooling, and the optimization of AI/ML and HPC workloads.
Architect high-performance storage solutions for AI, HPC, and data analytics across various industries. Act as a technical advisor throughout the sales cycle by conducting POCs, benchmarks, and designing system architectures.
Lead the design and implementation of end-to-end security architecture for distributed storage platforms, including S3 and POSIX-compliant systems. Collaborate with engineering teams to embed security into the data path, control plane, and multi-tenant isolation mechanisms.
Design and manage scalable infrastructure using Infrastructure-as-Code and Kubernetes for both cloud and on-premises environments. Develop self-service deployment environments and optimize build acceleration workflows using tools like Nexus and JFrog Artifactory.
Define and lead the long-term security architecture strategy for next-generation distributed storage platforms, including S3 and POSIX-compliant systems. Establish secure-by-design principles across the data path and control plane while driving platform-wide encryption and IAM frameworks.
Maintain and improve an S3 compliant high-performance file system using C/C++. Responsibilities include full application development from design to deployment, system-level troubleshooting, and mentoring junior developers.
Design, build, and optimize features across the NFS and storage stack to improve performance and scalability. Diagnose bottlenecks across file systems, networking, and I/O paths while developing Python automation for observability and testing.
Lead the design and implementation of high-performance data movement pipelines and storage architectures for AI inference. Optimize I/O paths between GPU memory and distributed storage to enable ultra-low-latency AI workloads.
Lead and grow a geographically distributed engineering team responsible for the KV Cache Platform to accelerate large-scale LLM inference. Define the technical vision and execution strategy while partnering with NVIDIA and other stakeholders to deliver scalable AI infrastructure.
Design, build, and maintain end-to-end Salesforce CPQ solutions, including product catalogs, pricing models, and complex bundles. Own the full delivery lifecycle from discovery and design to deployment and production support for the Quote-to-Cash stack.
Lead the implementation of new features and architectural improvements across core Lustre subsystems to enhance scalability and performance. Own the full development lifecycle from design and coding to performance tuning and upstreaming patches to the open-source community.
