Future Tech Jobs
Future Tech Jobs
In this role, you will analyze and optimize High Performance Computing (HPC) applications on NVIDIA's HPC servers and systems. You will work with a range of applications, from small benchmarks to large-scale distributed-memory systems, and provide insights to compiler and application engineering teams to improve performance.
In this role, you will analyze and optimize High Performance Computing (HPC) applications on NVIDIA's HPC servers and systems. You will work with a range of applications, from small benchmarks to large-scale distributed-memory systems, and provide insights to compiler and application engineering teams to drive performance improvements.
As a member of our team in NVIDIA's NVHPC compilers & tools group, you will analyze and run High Performance Computing (HPC) applications on HPC servers and systems to gain insight into the performance characteristics of these applications. The applications...
As a Research Advisor for the Human Frontier Collective, you will provide expert consultancy on model behavior, collaborate on high-impact research, and engage with executive clients. You will also contribute to technical content creation and co-author research papers, while becoming part of an interdisciplinary network of leading AI researchers.
As an HFC Fellow, you will collaborate with top researchers and domain experts to design, evaluate, and interpret advanced generative AI systems. You'll contribute to high-impact projects, co-author research papers, and join a global network of innovators in AI.
This role involves designing and developing the production lifecycle of full-stack AI applications for international government partners, ensuring system reliability, real-time inference observability, and high-security software integration. The AI Applications Ops Lead will also manage global compliance, lead incident response, and translate technical metrics into insights for senior officials.
This role involves designing and developing the production lifecycle of full-stack AI applications for international government partners, ensuring system reliability, real-time inference observability, and high-security software integration. You will lead incident response, manage global compliance, and translate technical metrics into insights for senior officials.
This role involves shipping complete features weekly, working closely with AI agents to architect solutions, and collaborating with a fast-moving team of 4-5 people. You'll engage directly with users to understand their needs and deliver functional solutions quickly, with a focus on rapid iteration and customer satisfaction.
This role involves leading a team of forward-deployed engineers to deliver high-impact GenAI solutions for enterprise customers. Responsibilities include mentoring the team, working closely with customers to understand and solve complex challenges, and shaping the product roadmap based on customer feedback. The role is unique in its customer-first approach and strategic influence on the company's core product development.
This role involves working directly with end clients to deploy an AI and knowledge graph platform, leading technical delivery from scoping to production rollout. You will design and build AI-driven workflows, integrate knowledge graph data, and collaborate with both technical and non-technical stakeholders.
This role involves leading client engagements in AI projects from discovery to delivery, working closely with both clients and technical teams. Responsibilities include running workshops, gathering requirements, defining milestones, and ensuring successful project outcomes. The role offers exposure to cutting-edge AI technologies and international projects.
This role involves designing and building scalable data platforms, establishing robust data engineering foundations, and ensuring data environments are AI-ready. You will work closely with senior stakeholders, advise on best practices, and operate across varied data maturity levels and technology stacks within different businesses.
This role involves designing, building, and operating cloud-native AI platform infrastructure across AWS and Databricks. Responsibilities include deploying and scaling containerised services, managing CI/CD pipelines, and implementing observability and security measures for AI workloads.
This role involves designing and delivering sophisticated market intelligence models to identify untapped revenue opportunities in global education markets. You will work closely with commercial and product stakeholders to build scalable data pipelines and propensity models, translating complex analytical findings into actionable business recommendations.
This role involves leading the design, development, and delivery of cloud-based platforms and data pipelines, providing technical leadership, and driving CI/CD and Infrastructure as Code best practices. The Manager will also support production systems, resolve complex issues, and mentor engineers.
