Future Tech Jobs
Future Tech Jobs
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/AI clusters, managing job schedules, and developing CI/CD pipelines. You will work with the latest GPU and AI technologies, collaborate with researchers and developers, and support R&D activities.
This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job/workload schedules, and developing CI/CD pipelines. You will work with the latest GPU and AI technologies, collaborate with researchers and developers, and support R&D activities.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, compiler development, and benchmarking. Collaborate with cross-functional teams to push the boundaries of accelerated computing for AI, contributing to open-source projects and industry benchmarks.
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 building and maintaining data architectures, pipelines, and AI systems to support scalable machine learning and GenAI solutions at Barclays. The engineer will collaborate with data scientists, implement MLOps practices, and ensure solutions are secure, reliable, and aligned with enterprise governance. Work includes processing large-scale data, deploying models, and contributing to responsible AI adoption across the business.
This role involves building and maintaining the infrastructure that supports AI deployment, focusing on data pipelines, system integrations, and production-grade reliability. The engineer will take AI prototypes from concept to scalable, robust systems integrated with CRMs, ERPs, and SaaS platforms. Emphasis is on automation, data integrity, and seamless communication between AI agents and enterprise systems.
This role involves designing, building, and maintaining data solutions using Microsoft Fabric, developing and optimizing data pipelines, and supporting Power BI reporting. You will collaborate with business stakeholders to ensure data quality, performance, and governance.
This role involves architecting and automating a customer trust and assurance program for Nscale’s global AI infrastructure. Responsibilities include managing customer security reviews, leading external audits, and translating complex technical controls into clear explanations for customers and auditors.
This role involves managing and maintaining enterprise network infrastructure across on-premises and multi-cloud environments (AWS/GCP), with responsibilities including network administration, security enforcement, incident resolution, and on-call support. The engineer will also assist with systems administration tasks and contribute to network design and documentation. The position operates under a hybrid work model with 3 days per week on-site in Oxford.
This role involves building scalable cloud-native infrastructure using AWS CDK and TypeScript, developing Node.js Lambda functions, and working with IoT Core and large-scale device ecosystems. You will also work with various AWS services like API Gateway, SQL databases, DynamoDB, Timestream, SQS, S3, CloudFront, VPCs, and security tools.
