Future Tech Jobs
Future Tech Jobs
Lead and grow a team of engineers building observability platforms for large-scale distributed systems, focusing on metrics and tracing infrastructure. Collaborate on architecture design, conduct technical reviews, and drive innovation through open-source tools and cloud-native technologies. Work in a hybrid environment with a focus on reliability, scalability, and DevOps practices.
Design and optimize GPU communication kernels for large-scale AI systems, focusing on low-level performance, memory efficiency, and integration with high-speed networking. Collaborate across hardware, software, and AI teams to co-develop GPU-aware communication primitives and programming models. Profile and tune end-to-end performance across compute, memory, and network boundaries to enable next-generation AI workloads.
Design and optimize GPU communication kernels for large-scale AI systems, focusing on collective and point-to-point operations. Work at the intersection of GPU architecture and networking, co-designing communication strategies with hardware and software teams. Develop low-level, GPU-resident primitives and tune performance across compute, memory, and network layers.
Design and optimize GPU communication kernels for large-scale AI systems, focusing on low-level performance tuning and co-design with hardware. Develop GPU-resident communication primitives and collaborate across teams to align networking strategies with GPU execution patterns. Work on foundational software enabling next-generation AI workloads with a focus on latency, efficiency, and scalability.
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.
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 top game developers to optimize GPU performance and advance rendering technologies such as path tracing and neural graphics. The engineer will develop and tune AI models and rendering algorithms, work closely with NVIDIA's architecture and driver teams, and create technical demonstrations using cutting-edge GPU technology. Responsibilities also include publishing research and presenting at conferences to drive AI and graphics innovation in gaming.
This role involves collaborating with top AAA game developers to optimize GPU performance and advance neural rendering and AI in games. The engineer will develop and tune cutting-edge algorithms, work closely with NVIDIA's architecture and driver teams, and contribute to next-generation GPU technologies. Activities include building technical demos, publishing whitepapers, and presenting at conferences.
This role involves collaborating with top game developers to optimize GPU performance and advance rendering technologies, with a focus on path tracing and neural graphics. The engineer will develop and tune AI models, work closely with NVIDIA's architecture and driver teams, and contribute to next-generation GPU innovations. Activities include building technical demos, profiling algorithms, and presenting research at conferences.
This role involves collaborating with top AAA game developers to optimize GPU performance and advance rendering technologies, particularly in path tracing and neural graphics. The engineer will develop and tune AI models, work closely with NVIDIA's architecture and driver teams, and contribute to next-generation GPU innovations. Responsibilities include creating technical demos, publishing research, and presenting at conferences.
This role involves collaborating with top game developers to optimize GPU performance and advance rendering technologies such as path tracing and neural graphics. The engineer will develop and optimize AI models and rendering algorithms, work closely with NVIDIA's architecture and driver teams, and create technical demonstrations and whitepapers. The position emphasizes innovation in AI-driven graphics and requires deep expertise in real-time rendering, GPU programming, and system-level optimization.
This role involves driving large-scale sales opportunities within the UK public sector by building executive-level relationships and positioning CrowdStrike’s AI-native cybersecurity platform as a strategic solution. The Regional Sales Manager will develop account strategies, lead virtual teams, and collaborate with internal stakeholders to close complex deals, typically valued at £1M or more. Success requires a consultative, quota-driven approach with a strong focus on expanding existing client relationships and identifying new business through proactive engagement.
Lead the development and deployment of generative AI systems at scale within a cybersecurity context, focusing on LLMs and deep learning to enhance threat detection and response. Drive research strategy, mentor technical teams, and translate cutting-edge AI into production-grade solutions operating at planetary scale. Contribute to technical standards and represent the company through publications and thought leadership.
