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...
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...
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...
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 Data Scientist in Delivery, you will work closely with Simulation Engineers, Machine Learning Engineers, and customers to solve complex engineering and physics challenges. Your responsibilities include pre-processing and analyzing data, developing deep learning models, and designing scalable data pipelines. You will also travel to customer sites globally to collaborate on-site and ensure the practical application of AI models.
As a Data Scientist in Delivery, you will work closely with Simulation Engineers, Machine Learning Engineers, and customers to solve complex engineering and physics challenges. Your responsibilities include pre-processing and analyzing data, developing deep learning models, and designing scalable data pipelines. You will also travel to customer sites to collaborate on-site and ensure the practical application of AI models.
You will develop pre-silicon models of AI acceleration hardware, enabling early software development and informing architecture, performance, and product design. You'll work closely with hardware, software, and ML engineers in a collaborative co-design environment.
You will develop pre-silicon models of AI acceleration hardware, enabling early software development and collaborating with hardware, software, and ML engineers. The role involves architectural definition, performance evaluation, and product design verification.
This role involves leading data and AI initiatives to drive business performance, working closely with various teams to deliver insights and improve decision-making through analytics and emerging technologies. The Lead Data & AI Analyst will focus on developing reporting, dashboards, and performance insights while exploring AI applications to enhance efficiency and customer experience.
As a Senior Data Scientist, you will lead the delivery of advanced data science capabilities, working on innovative projects to help customers unlock value from complex datasets. You will mentor colleagues, shape the future of the data science team, and collaborate closely with project leads and customers to develop and implement cutting-edge solutions.
The AI Architect will drive the design and delivery of enterprise-grade AI solutions, working at both strategic and hands-on levels. Responsibilities include defining the AI architecture strategy, designing scalable and secure AI/ML solutions, and leading the implementation of data pipelines and model training environments. The role involves close collaboration with data, engineering, and business teams to ensure alignment with governance and regulatory requirements.
As an Algorithm Developer at MBDA, you will work on advanced weapon systems, developing and testing mathematical algorithms using tools like Matlab/Simulink and Python. You will collaborate with cross-functional teams to ensure the algorithms meet technical specifications and contribute to the team's innovative approach to algorithm development.
This role involves building and maintaining a full-stack application using Next.js, React, and TypeScript, while working closely with AI engineers to integrate and optimize LLMs and AI APIs. You'll also manage cloud infrastructure on GCP and contribute to the platform's technical direction.
As a Lead Data Scientist, you will design, develop, and deploy advanced AI systems, particularly focusing on Generative AI and Large Language Models (LLMs). You will work with complex datasets, emerging technologies, and collaborate with engineering and technical leadership to create scalable, production-ready solutions in a highly secure environment.
As an Applied AI Engineer, you will work directly with enterprise clients to build advanced AI solutions, ranging from cybersecurity to journalism and genomics. Your role involves gathering business requirements, translating them into technical solutions, and optimizing AI models to meet client needs. You will collaborate with cross-functional teams, write production code, and leverage the Scale Generative Platform (SGP) to develop cutting-edge AI agents.
