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 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.
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....
This role involves leading the design, development, and deployment of advanced AI solutions to enhance operational efficiency and support business growth. You will collaborate with senior stakeholders, guide technical direction, and mentor a team of engineers while ensuring systems are secure, scalable, and compliant.
This role involves working within an R&D team to develop cutting-edge solutions in national security using generative AI and machine learning. You will collaborate with industry partners, have end-to-end project exposure, and benefit from a collaborative, autonomous environment with strong career development opportunities.
This role involves supporting the development and deployment of AI and machine learning models, working with large datasets, and collaborating with software engineers and product teams. You'll contribute to backend development, API integrations, and research new AI frameworks, ensuring responsible and ethical AI development.
This role involves designing, building, and integrating AI applications into end-to-end workflows, embedding agentic AI into customer and operational processes, and collaborating with cross-functional teams to deliver robust, production-ready solutions. The focus is on turning emerging AI capabilities into practical, high-value implementations while ensuring reliability, resilience, and safety.
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.
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.
This role involves building and maintaining scalable data pipelines using Python and PySpark within a modern cloud-based environment on Azure, transitioning to a Databricks Lakehouse architecture. The engineer will collaborate with cross-functional teams including QA and machine learning, contribute to CI/CD and DevOps practices, and support the evolution of data engineering standards. It's an early-career position with strong emphasis on learning, growth, and exposure to advanced analytics and modern data platforms.
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 developing and deploying AI-augmented, multi-tenant business applications in the financial services sector. The developer will work closely with stakeholders to design and deliver custom software solutions, lead technical innovation, and stay ahead of emerging AI trends. The position emphasizes end-to-end ownership, collaboration, and advancing AI-driven engineering practices within a high-performing team.
