Future Tech Jobs
Future Tech Jobs
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.
As a Principal-level Product Manager, you will lead the vision and strategy for Synthesia's video creation and editing platform, including the Editor, Player, and public APIs. You will focus on unifying creation workflows, enhancing usability, and driving cross-functional collaboration to deliver high-impact product releases.
This role involves owning the product release process, from planning to execution, ensuring smooth communication and coordination between Product, Marketing, and GTM teams. Responsibilities include maintaining the product roadmap, defining release readiness processes, and creating scalable systems to enhance launch efficiency and impact.
As a Member of Technical Staff on the Applied ML team, you will work closely with customers to identify and solve their most pressing AI challenges using large language models. You'll lead projects from ideation to production, mentor engineers, and collaborate with product teams to develop innovative solutions.
This role involves developing better, fairer, and more secure Large Language Models (LLMs) by focusing on data generation, post-training algorithms, and evaluation methods. You will work closely with cross-functional teams to ensure the safety and ethical use of LLMs, with a significant emphasis on experimental design and data management.
As a Senior Data Scientist, you will lead high-impact AI projects, define data science approaches, design robust software architectures, and mentor junior colleagues. You will work on-site with defence clients 2-4 days per week, contributing to Faculty's reputation as a leader in practical, ethical AI solutions.
As a Senior Machine Learning Engineer, you will lead the development and deployment of cutting-edge AI systems for diverse clients, focusing on high-impact ML solutions. You will collaborate with cross-functional teams, define best practices, and mentor junior engineers while ensuring ethical and scalable deployment.
As a Solutions Architect, you will work closely with NVIDIA Cloud Partners and customers to design and implement advanced AI and HPC GPU infrastructure, focusing on datacentre power, cooling, and MEP requirements. You will collaborate with sales teams to secure business opportunities, guide customers through datacentre design, and provide technical expertise to ensure robust and scalable solutions.
This role involves collaborating with NVIDIA Cloud Partners and customers to design and implement advanced AI and HPC GPU infrastructure, focusing on datacentre power, cooling, and MEP systems. You will guide customers through the complexities of datacentre design, ensure robust and scalable solutions, and provide technical expertise throughout the project lifecycle.
This role involves designing, implementing, and maintaining large-scale HPC and AI clusters, working with the latest GPU and deep learning technologies. You will collaborate with researchers, developers, and customers to optimize system performance and develop new solutions.
This role involves designing, implementing, and maintaining large-scale HPC and AI clusters, including monitoring, logging, and alerting. You will work with the latest GPU and deep learning technologies, develop CI/CD pipelines, and collaborate with researchers and developers to improve workflows and create innovative solutions.
This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job/workload schedules, and developing CI/CD pipelines. You will work closely with HPC, OS, GPU compute, and systems specialists to architect and optimize performance platforms, and support R&D activities and POCs.
This role involves designing, implementing, and maintaining large-scale HPC and AI clusters, working with the latest GPU and deep learning technologies. You will collaborate with researchers, developers, and customers to optimize system performance, develop automation tools, and support R&D activities.
This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job schedules, developing CI/CD pipelines, and automating deployment and monitoring. You will work closely with HPC, OS, GPU compute, and systems specialists to architect and optimize performance platforms for AI and GPU computing.
