Future Tech Jobs
Future Tech Jobs
This role involves deep performance analysis and optimization of cloud and HPC CPU workloads on NVIDIA's CPU architecture. You'll collaborate with developers, researchers, and internal teams to enhance software stacks, create optimized reference code, and influence next-generation CPU design. The position requires strong expertise in low-level programming and performance tuning for enterprise-scale applications.
This role involves deep performance analysis and optimization of CPU workloads for NVIDIA's cloud and HPC platforms. You'll collaborate with developers, researchers, and internal teams to enhance software stacks and influence next-gen CPU architecture. The position emphasizes low-level code optimization, benchmarking, and direct contributions to frameworks and reference implementations.
Design and optimize GPU communication kernels for large-scale AI systems, focusing on low-level GPU architecture and performance tuning. Collaborate with hardware and AI teams to co-develop communication strategies and programming models that align with GPU execution patterns. Profile and improve end-to-end performance of GPU-resident data movement across distributed accelerators.
As a Developer Relations Manager, you will act as the technical point of contact for startups and developers building AI and LLM applications in the retail and media entertainment industries. You will evangelize NVIDIA’s AI technologies, build sample applications, and support developers in optimizing their models. This role involves significant engagement with the developer community, benchmarking performance, and shaping adoption strategies.
As a Developer Relations Manager, you will act as the technical point of contact for startups and developers building AI and generative AI applications in the retail and media entertainment industries. You will evangelize NVIDIA’s AI technologies, build sample applications, and support developers in optimizing their models using NVIDIA’s tools and platforms.
As a Developer Relations Manager, you will act as the technical point of contact for startups and developers building AI and generative AI applications in the retail and media entertainment industries. You will evangelize NVIDIA’s AI technologies, build sample applications, and support developers in optimizing their models using NVIDIA’s tools and platforms.
Serve as a technical liaison for developers and startups building LLM and generative AI applications in retail and media & entertainment. Develop sample applications, tutorials, and technical content while supporting integration with NVIDIA’s AI stack. Engage with the developer ecosystem through events, benchmarking, and feedback to shape product roadmaps.
This role involves engaging with startups and developers in the retail and media & entertainment sectors to drive adoption of NVIDIA's AI and generative AI technologies. The Developer Relations Manager will build technical content, support integration with NVIDIA’s Gen AI stack, and act as a bridge between developers and product teams. Key responsibilities include performance optimisation, evangelism at events, and gathering feedback to shape product roadmaps.
Serve as the technical liaison for startups and developers building LLM and multimodal AI applications in retail and media/entertainment. Develop and deliver sample applications, tutorials, and technical content to promote best practices in generative AI and agentic workflows. Collaborate with solution architects to optimize model performance using NVIDIA's tools like TensorRT-LLM, Triton Inference Server, and CUDA-accelerated pipelines, while gathering developer feedback to shape product roadmaps.
This role involves leading the design and implementation of security architectures for NVIDIA's next-generation networking products, combining hardware and software expertise. The individual will work hands-on with embedded systems, focusing on secure boot, hardware security primitives, and low-level firmware development across interfaces like PCIe, I2C, and USB. Collaboration with internal teams and external partners is key to addressing security threats and advancing trusted platform technologies.
Lead the design and implementation of secure embedded systems for next-generation NVIDIA Networking products, combining hardware and software security innovations. Collaborate across global teams and external partners to define security architecture, develop trusted platforms, and integrate hardware security primitives. Focus on low-level firmware, boot architecture, and secure I/O interfaces in high-performance computing environments.
Lead the design and implementation of secure embedded systems for next-generation NVIDIA Networking products, combining hardware and software security innovations. Drive architectural decisions across interfaces like PCIe, USB, and I3C while collaborating with cross-functional teams and external partners. Focus on trusted platform development, secure boot, and hardware-rooted security using technologies such as RISC-V and Root-of-Trust.
This role involves collaborating with leading UK academic research groups on high-impact projects in Generative AI, AI models, and large-scale systems. The individual will identify strategic research opportunities, promote NVIDIA’s software platforms like NeMo and CUDA X, and act as a liaison between academia and NVIDIA engineering teams. They will also support grant acquisition, mentor postgraduate students, and deliver outreach events to advance AI innovation.
This role involves collaborating with leading UK academic research groups on high-impact projects in Generative AI, AI models, and large-scale systems. The individual will identify strategic research opportunities, promote NVIDIA’s software platforms, and act as a liaison between academia and NVIDIA engineering teams. Responsibilities include mentoring postgraduate students, securing research funding, and delivering outreach events to advance AI innovation.
Lead the design and implementation of secure embedded systems for next-generation networking products, focusing on hardware-software co-design and security architecture. Work across teams and with external partners to integrate security-by-design principles into platforms using RISC-V, firmware, and low-level interfaces. Drive innovation in trusted computing through hands-on research, modeling, and development of secure boot and hardware security primitives.
