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 collaborate with Data Scientists, Simulation Engineers, and customers to solve complex engineering and physics challenges. You will design, build, and test reliable, scalable ML data pipelines, manipulate 3D point cloud and mesh data, and ensure the successful deployment of AI models in real-world applications.
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 customers. You will mentor team members, travel to customer sites, and influence product direction by driving reliable and scalable ML systems.
Lead the backend development of a scalable AI-driven automation platform, designing microservices, APIs, and event-driven workflows. Collaborate closely with AI and product teams to build agentic systems that execute real-world operational tasks. Shape technical architecture and engineering standards in a high-growth startup environment.
This role involves leading end-to-end development of a production-grade mobile application, shaping technical strategy, and driving innovation with AI-powered features. The engineer will work directly with founders to define the product roadmap and lay the foundation for a future engineering team. It offers a unique chance to evolve from a hands-on developer into Head of Engineering while leveraging cutting-edge AI tools and cloud technologies.
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.
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 leading test engineering for advanced electro-mechanical systems used in underwater robotics. The engineer will define test strategies, develop automated test solutions using LabView and scripting languages, and oversee testing across development and production lifecycles. They will manage test facilities, conduct failure analysis, and ensure rigorous validation of complex multi-disciplinary systems.
This role involves designing, developing, and deploying Camunda-based process and decision automation solutions for public-sector clients. You will work closely with solution architects, business analysts, and designers to translate workflows into maintainable code, optimize performance, and mentor junior engineers.
As an AI Engineer, you will work on developing an AI-powered platform for healthcare, focusing on building AI agents, generating clinical notes, and integrating AI features into core workflows. You'll collaborate closely with the Head of AI to shape the future of the AI function and contribute to both day-to-day operations and research-focused projects.
The Principal Engineer role in the AI Productivity Lab involves leading the design and implementation of AI-driven solutions to enhance employee productivity and process automation. You will work closely with the Head of the Lab and business stakeholders to embed AI agents into team workflows, develop reusable capabilities, and mentor engineers.
This role involves leading a small engineering team within the Chem-Bio (CB) team at the AI Security Institute. Responsibilities include setting technical direction, managing engineers, designing and building reliable systems, and working closely with researchers to translate their needs into well-engineered solutions. The role also involves hiring, shaping engineering culture, and coordinating with other teams across the organization.
The Cloud & Platform Engineering Lead will ensure the reliability, scalability, and security of Moorepay's cloud-native platform. Key responsibilities include defining cloud architectures, driving CI/CD and observability, and leading a high-performing engineering team. The role focuses on technical leadership, cost optimization, and stakeholder engagement to support the company's digital transformation and AI-driven innovation.
Lead the creation and development of a new engineering team focused on building scalable Python-based platforms, APIs, and data integrations that power enterprise AI initiatives. You'll establish engineering practices, drive technical strategy in collaboration with data and architecture teams, and support the delivery of high-performance, data-intensive systems. This role emphasizes foundational platform development rather than direct AI/ML modeling.
