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...
As a Machine Learning Engineer, you will work closely with Data Scientists, Simulation Engineers, and customers to understand and solve complex engineering and physics challenges. You will design, build, and test reliable and scalable ML data pipelines, manipulate 3D point cloud and mesh data, and create reusable libraries and tools. The role involves significant customer interaction and on-site collaboration, requiring strong problem-solving and communication skills.
As a Senior Machine Learning Engineer, you will lead the deployment of AI models and engineering surrogates to customer production environments, working closely with Data Scientists, Simulation Engineers, and customers. You will drive technical decisions, mentor team members, and travel to customer sites to build solutions on-site, ensuring practical and impactful outcomes.
This role involves leading the technical direction of an in-vehicle web experience that enhances trust in autonomous vehicles. Responsibilities include architecture, real-time visualisation, and working with operators and engineers to ensure robustness and performance.
As a Senior PLC Engineer, you will lead the development and maintenance of PLC software libraries, design and prototype control systems for innovative machinery, and ensure seamless integration and performance in live warehouse environments. You will collaborate with cross-functional teams and external partners, optimizing machinery operation and providing essential support for global operational sites.
As a Senior AI Engineer, you will design, build, and deploy AI-driven solutions that automate processes and reduce manual effort. You'll collaborate with development, QA, and IT teams to deliver impactful solutions, identify opportunities for AI application, and champion responsible AI practices.
This role involves building and improving AI features using Python, creating proof of concepts, and integrating AI with the front end. The focus is on practical, real-world applications of AI, particularly in a regulated financial services environment, with an emphasis on security, testing, and DevOps practices.
As a Platform Engineer, you will play a crucial role in developing and scaling our hybrid cloud infrastructure, working closely with the Machine Learning and Data Science teams. Your responsibilities will include designing and managing Kubernetes clusters, enhancing CI/CD pipelines, and ensuring robust monitoring and security measures.
As a Machine Learning Engineer, you will design and build autonomous AI agents using LLMs and advanced reasoning frameworks. You will specialize in RAG pipelines, fine-tune models, and ensure robust and trustworthy AI systems in the insurance and fintech domain.
As a Research Engineer, you will work at the intersection of research and engineering, developing and deploying ML and computational systems. You will collaborate with interdisciplinary teams to solve complex data and software engineering challenges, improve research workflows, and optimize high-performance compute environments.
This role involves designing and developing AI-enabled applications and services, building scalable ML solutions on GCP, and supporting the technical direction of AI initiatives. You will mentor other AI engineers, collaborate with digital products and business stakeholders, and contribute to architecture and proof-of-concept projects.
This role involves designing and developing cloud and AI solutions on Azure, with a focus on building secure, scalable foundations for critical banking services. You will work in a dynamic team, driving automation through Infrastructure-as-Code and CI/CD pipelines, and collaborating across infrastructure and application teams to enhance platform stability and cost efficiency.
This role involves building and improving AI features using Python, creating proof of concepts, and integrating AI into a customer-facing product that helps users complete financial journeys. The focus is on practical AI application, security, and collaboration with a growing fintech company.
This role involves working as a full-stack AI Engineer, owning the entire lifecycle of AI projects from architecture to product delivery. You will identify new opportunities, scope AI builds, and ship production AI systems, while providing technical leadership and collaborating closely with C-level executives.
