Future Tech Jobs
Future Tech Jobs
This role involves optimizing GPU-accelerated applications for energy simulation and AI workflows, focusing on CUDA performance, memory management, and multi-GPU scaling. You will work closely with customers, partners, and internal teams to deliver significant performance improvements and develop reference implementations.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define...
This role involves working within a high-performing team to build and maintain proprietary trading and risk platforms. Responsibilities include designing and implementing end-to-end features, contributing to system architecture, and ensuring robust, scalable, and reliable applications. The role requires strong full-stack engineering skills, with a focus on modern JavaScript frameworks and backend languages.
This role involves designing and delivering high-performance trading systems, building real-time data pipelines, and integrating market data feeds. You will lead technical initiatives, mentor engineers, and partner with senior client stakeholders to shape data and platform architecture in the capital markets domain.
As a Full Stack Software Engineer, you will work in cross-functional teams to build and scale AI-powered systems for global clients. Your responsibilities will include developing reliable and scalable frontend and backend architectures, building data pipelines, and providing technical expertise to customers. This role offers the opportunity to take ownership of the entire stack and drive real-world transformation through advanced AI solutions.
As a Lead Software Engineer with a focus on Machine Learning, you will set the technical direction and oversee the delivery of complex AI projects. You will work on high-risk, ill-defined projects, design and develop production-grade ML systems, and mentor team members while driving innovation and reusable solutions across the organization.
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 into customer production environments, working closely with Data Scientists, Simulation Engineers, and clients. You will mentor team members, design scalable ML systems, and travel to customer sites to build solutions on-site, driving innovation and practical outcomes.
Lead the technical direction of large-scale AI/ML systems in high-risk, government-facing environments, designing production-grade architectures and guiding multi-disciplinary teams. Focus on scalable model deployment, CI/CD pipelines, and operationalising AI in cloud-native environments using Kubernetes and modern MLOps practices. Provide architectural leadership and mentorship while driving innovation in responsible, human-centric AI solutions.
This role involves creating client-facing web applications that visualize AI-driven insights, working closely with data scientists and engineers in cross-functional teams. The engineer will build interactive data visualizations using React, TypeScript, and modern web technologies, while also shaping frontend standards and mentoring others. The position emphasizes technical excellence, reusable component development, and deployment on cloud platforms, particularly within government and public sector projects.
This role involves applying theoretical knowledge and experimental skills to design and develop photonic integrated circuits and next-generation products. You will work on diverse technical challenges across industries like Defence, Healthcare, and Energy, collaborating with multidisciplinary teams and rapidly learning new technologies.
This role involves designing and developing advanced digital signal processing systems for US Government applications, focusing on wireless communications, sensors, audio, and image processing. You will work on cutting-edge projects, from proof-of-concept demonstrations to product development, and contribute to the team's growth and innovation.
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.As AI continues to shape...
This role involves providing service level issue support for Amazon's catalog systems, ensuring software packages are free from vulnerabilities, setting up metrics and alarms, and driving root cause resolutions. You will build tools to improve operational efficiency and work with cross-functional teams to solve complex problems.
This role involves developing analytical solutions and automated metrics to solve business problems within Amazon's supply chain, using rigorous data analysis and high-quality code. The engineer will work to understand business objectives, ensure data integrity, and deliver actionable insights that drive value. Emphasis is placed on root-cause analysis, pragmatic problem-solving, and continuous learning within a fast-paced, customer-obsessed environment.
