Future Tech Jobs
Future Tech Jobs
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has...
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has...
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...
Design and build full-stack applications that integrate AI-driven physics simulation models into real-world engineering workflows. Collaborate with data scientists and customers to develop, prototype, and deploy production-grade tools using Python, FastAPI, and cloud infrastructure. Work across industries such as aerospace, energy, and semiconductors, with opportunities for international travel to support on-site customer deployments and iterate on solutions based on direct user feedback.
Develop and scale AI-driven physical foundation models for engineering simulation, bridging research and production. Translate scientific prototypes into robust, distributed ML systems using high-performance computing and cloud infrastructure. Collaborate closely with researchers, engineers, and customers to solve real-world physics and engineering challenges.
Develop and optimize the ML runtime stack for AI accelerators, integrating with open-source frameworks like PyTorch, vLLM, and SGLang. Work closely with hardware and ML teams in a co-design environment to deliver high-performance inference solutions. Build low-level systems in Rust while contributing to the full software stack for next-generation AI hardware.
Develop and optimize the ML runtime stack for AI accelerators, integrating with open-source frameworks like PyTorch and vLLM. Work closely with hardware and software teams in a co-design environment to enable high-performance inference. Build low-level systems in Rust and contribute to cutting-edge AI infrastructure.
Design and build an AI-agent platform for automated scientific discovery, integrating AI models, biological data, and laboratory automation into robust, reusable workflows. Develop agentic systems for hypothesis generation, experimental planning, and human-AI collaboration within a research-driven environment. Contribute to open-source software, publications, and the technical strategy of a new AI for Biology programme.
Develop an AI-driven platform for engineering enzymes that degrade PFAS 'forever chemicals', combining machine learning with experimental validation in a collaboration between academia and industry. The role involves designing, producing, and testing novel enzymes to support environmental remediation and sustainable water purification solutions.
Leads the development and application of data science, risk modelling, and asset analytics across a regional electricity network to inform investment decisions and regulatory reporting. Champions innovation in capital programme optimisation and digital transformation while building a high-performing analytics team. Works closely with internal stakeholders and regulators to enhance asset management strategies using advanced analytics and mathematical modelling.
The role involves using advanced data science techniques to solve complex business problems in a retail environment. The Senior Data Scientist will develop predictive models, apply machine learning, and collaborate with stakeholders across domains such as pricing, supply chain, and marketing. Emphasis is placed on prototyping solutions, algorithm design, and communicating insights to both technical and non-technical audiences.
Designs and governs software architecture and CI/CD pipelines for autonomous military systems, integrating robotics, computer vision, sensor fusion, and simulation platforms. Ensures scalable, maintainable, and safety-compliant software frameworks in a defence R&D environment, supporting real-world field trials with military users.
This role involves driving digital transformation by identifying automation opportunities, building internal software tools, and implementing AI solutions to improve business efficiency. The candidate will work closely with management to develop data-driven insights, streamline processes, and prototype innovative technologies. It's a hands-on position offering direct impact on how the organisation adopts emerging tech like AI and low-code platforms.
This role involves building scalable data platforms to support AI systems, with a focus on data ingestion, transformation, and integration for advanced analytics and LLM-powered applications. You'll work with JSON, DataFrames, and REST APIs to prepare complex datasets for retrieval-augmented generation, semantic search, and scenario modelling. The position requires strong Python and data engineering skills within an AI-driven enterprise environment.
This role involves building and optimizing advanced AI agents for enterprise clients using Scale's Generative Platform. You'll work directly with customers to translate business needs into technical solutions, leveraging cutting-edge models and multimodal AI capabilities. The position requires hands-on development, debugging in production environments, and iterating on ML systems using data-driven experimentation.
