Future Tech Jobs
Future Tech Jobs
As a Senior GPU Networking Architect, you will develop and optimize GPU communication kernels for large-scale AI systems, focusing on minimizing latency and maximizing efficiency. You will collaborate with hardware, software, and AI teams to co-design communication strategies and contribute to the evolution of GPU-aware programming models.
As a Senior GPU Networking Architect, you will focus on building and optimizing GPU communication kernels for large-scale AI systems. Your role involves deep collaboration with network software, hardware, and AI framework teams to co-design communication strategies that align with GPU execution patterns. You will leverage your expertise in GPU architecture and CUDA programming to improve kernel efficiency, minimize latency, and develop GPU-resident communication primitives.
Why Faculty?We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about...
Why Faculty?We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about...
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.As AI continues to shape...
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.As AI continues to shape...
This role involves designing and building scalable data pipelines, integrating data from multiple sources, and developing advanced analytics and AI solutions. You will work closely with analysts and stakeholders to translate requirements into robust, production-ready solutions, with a focus on data quality, reliability, and performance.
You will develop and optimize algorithms for NVIDIA's LPX inference and compiler stack, focusing on high-performance runtime and compiler components. This role involves working closely with hardware architects, benchmarking performance, and contributing to the company's software ecosystem, with opportunities to publish research.
You will develop and optimize algorithms for NVIDIA's LPX inference and compiler stack, working on high-performance runtime and compiler components. Your role involves benchmarking, profiling, and collaborating with hardware teams to influence future architectures and co-design features for improved performance and efficiency.
This role involves working with leading ISVs and M&E organizations to build AI platforms for video content creation and analysis. Responsibilities include driving NVIDIA technology adoption, leading PoCs, and designing scalable inference solutions for real-time and cloud deployments.
This role involves working with leading ISVs and M&E organizations to build AI platforms for video content creation and analysis. Responsibilities include driving technology adoption, leading PoCs, designing scalable inference solutions, and optimizing AI techniques across diverse environments.
This role involves working with leading ISVs and M&E organizations to build AI platforms for video content creation and analysis. Responsibilities include designing scalable inference solutions, leading PoCs, and optimizing AI techniques across diverse environments, from Edge devices to Cloud deployments.
This role involves working with leading ISVs and M&E organizations to build AI platforms for video content creation and analysis. Responsibilities include driving technology adoption, leading PoCs, and optimizing AI techniques across diverse environments, from Edge devices to Cloud deployments.
As a Solution Architect in NVIDIA’s EMEA Media & Entertainment team, you will work closely with leading ISVs and M&E organizations to build AI platforms that enhance video content creation and analysis. Your responsibilities include driving technology adoption, designing scalable inference solutions, and leading customer PoCs for complex use cases like video summarization and generative AI workflows.
Lead the engineering and product development of NVIDIA's interactive world-model platforms, including OmniDreams and FlashDreams, transforming cutting-edge research into robust, production-ready systems. Drive architecture, scalability, and developer experience while fostering an open ecosystem for researchers and developers in fields like autonomous vehicles, robotics, and simulation.
