Future Tech Jobs
Future Tech Jobs
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work...
We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible...
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...
As a Platform Engineer, you will architect and maintain the infrastructure that enables the deployment of world-class AI solutions. You will work closely with the Applied AI team to build and refine data science, MLOps, and deployment tooling, ensuring high performance and seamless integration into diverse client environments.
This role involves building and deploying applications that leverage AI-driven physics models to solve complex engineering problems for customers across various industries. You will work closely with cross-functional teams, including data scientists and machine learning engineers, to develop and refine tools that optimize and automate engineering processes. Travel to customer sites globally is a key part of the role, allowing for on-site collaboration and solution-building.
About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries....
The Data Engineer will focus on building and optimizing an Azure-based data platform, developing high-performing pipelines in Azure Data Factory, and supporting the adoption of Microsoft Fabric. This role involves close collaboration with BI Analysts and other teams to ensure data quality and reliability, and to drive smarter decision-making through data.
As a Solutions Engineer, you will partner with Account Executives to deliver customized demos and pilots, scope customer technical requirements, and develop actionable project plans. You will work closely with the delivery team to implement solutions and drive strategic initiatives to improve the efficiency of the Solution Engineering team.
As a Senior Data Science Engineer, you will design and deliver production-grade Python solutions, build reusable data science modules, and contribute to research and implementation of new approaches. You will work closely with a global team to translate stakeholder requirements into robust, production-ready solutions and mentor junior team members.
Forward Deployed AI EngineerThe opportunityWe are looking for a Forward Deployed AI Engineer to serve as the critical bridge between Latent Labs’ frontier generative models and the customers who rely on them. You will work directly with pharmaceutical and biotech...
Lead the design and delivery of AI solutions across engineering projects, shaping the organization's AI strategy and embedding responsible practices into development workflows. Collaborate with senior leadership, engineering teams, and external partners to scale AI adoption in a modern, low-legacy technology environment. Help set technical standards and mentor teams on AI integration within a collaborative, delivery-focused culture.
This role involves designing and delivering scalable data platforms, building and optimizing data pipelines, and defining data governance standards. You will work closely with cross-functional teams to deliver end-to-end data solutions and support AI and machine learning workflows.
This Data Engineer role involves designing and building scalable data pipelines on AWS, supporting cloud migration, and improving data quality. You'll work closely with analysts and data scientists to enable advanced analytics and machine learning, contributing to a modern, high-impact data architecture.
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, ensuring data quality and performance.
The role involves working with a multidisciplinary team to study high-impact societal risks caused by advanced AI deployment. Responsibilities include designing and implementing experiments, building data pipelines, and evaluating AI models to inform mitigation strategies.
