Future Tech Jobs
Future Tech Jobs
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. This role involves collaborating with cross-functional teams to push the boundaries of accelerated computing for AI.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. This role involves collaborating with cross-functional teams to push the boundaries of accelerated computing for AI.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. Collaboration with cross-functional teams and conducting original research are key aspects of this role.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. Collaboration with cross-functional teams and conducting original research are key aspects of this role.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, compiler development, and benchmarking. You'll collaborate with cross-functional teams to enhance NVIDIA's AI capabilities and contribute to industry benchmarks.
This role involves serving as a technical advisor and champion for the developer ecosystem at major cloud service providers (CSPs) in Europe. You will engage with developer communities, accelerate workloads with NVIDIA technologies, and foster co-innovation and adoption strategies. The position requires deep technical expertise in AI, cloud, and high-performance computing, along with strong commercial and communication skills.
This role involves serving as a technical advisor and champion for the developer ecosystem at major cloud service providers (CSPs) in Europe. You will create strong relationships with developer communities, accelerate critical workloads by integrating NVIDIA technologies, and guide partners through onboarding and integration. The role also includes mapping the developer ecosystem, collaborating with cross-functional teams, and delivering workshops and bootcamps.
This role involves serving as a technical advisor and champion for the developer ecosystem at major cloud service providers (CSPs) in Europe. You will foster the adoption of NVIDIA’s AI and computing platforms by creating strong relationships with developer communities, accelerating critical workloads, and guiding partners through onboarding and integration. Collaboration with internal and external teams to drive developer engagement and optimize partner adoption strategies is key.
This role involves serving as a technical advisor and champion for the developer ecosystem at major CSPs like AWS, GCP, and Microsoft in Europe. Responsibilities include fostering the adoption of NVIDIA’s AI and computing platforms, creating strong relationships with developer communities, and guiding partners through onboarding and integration. The role also involves collaborating with internal teams to drive developer engagement and optimize partner adoption strategies.
This role involves serving as a technical advisor and champion for the developer ecosystem at major CSPs like AWS, GCP, and Microsoft, driving the adoption of NVIDIA’s AI and computing technologies. Responsibilities include creating strong relationships with developer communities, accelerating critical workloads, and guiding partners through onboarding and integration with NVIDIA’s programs.
This role involves delivering technical customer projects on the Databricks platform, focusing on data engineering, cloud integration, and AI solutions for emerging enterprises and digital-native clients in EMEA. You'll design data architectures, support migrations from legacy systems, and provide hands-on implementation guidance while collaborating with cross-functional teams. The position requires strong technical expertise in Spark, cloud ecosystems, and MLOps, with occasional client travel.
This role involves designing, building, and maintaining event-driven integrations and backend services across enterprise and SaaS systems. You will work with modern cloud-native and streaming technologies, focusing on scalable integration patterns, data pipelines, and observability, while contributing to architecture and engineering standards.
Design and optimize compiler technology for NVIDIA's Grace CPU architecture, focusing on performance-critical AI and HPC workloads. Collaborate with global teams and upstream open-source communities to enhance the GNU toolchain and influence next-generation CPU microarchitecture development.
This role involves developing core modules within an engineering design platform and integrating them into a cloud compute environment. You will work on automating complex engineering processes and solving first-of-their-kind challenges in a fast-paced, innovative environment.
This role involves designing and supporting secure integrations between AWS data sources, Databricks workspaces, and downstream data platforms. You will configure and validate Unity Catalog objects, develop Terraform/IaC for AWS and Databricks, and troubleshoot various issues across these platforms.
