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...
This role involves working closely with top AAA game developers to optimize GPU performance and advance rendering technologies, particularly in path tracing and neural graphics. The engineer will develop and fine-tune AI models and rendering algorithms, collaborate with hardware and driver teams, and contribute to next-generation GPU architecture planning. They will also create technical demos, publish research, and present findings at industry conferences, driving innovation in AI and real-time graphics.
We are seeking an experienced and forward-thinking Senior Software Engineer to play a key role in driving a large-scale AI and intelligent automation agenda within a complex technology environment.This is not a traditional software engineering role. We are looking for...
This role involves designing and enhancing real-time market data infrastructure, building scalable platforms for quantitative research, and developing simulation and backtesting environments. Engineers will also create research tooling, optimize performance-critical systems, and contribute to the architecture of next-generation trading and research infrastructure.
This role involves building and deploying scalable AI-powered applications using modern software engineering practices and AI technologies such as LLMs, RAG, and AI agents. The engineer will work across the full product lifecycle, integrating AI tools into production systems, automating workflows, and collaborating with cross-functional teams to deliver high-impact solutions. Emphasis is placed on practical, reliable delivery grounded in disciplined engineering.
The role involves leading a new Data Replay & Recovery Team within CrowdStrike's Data Platform organization. Responsibilities include designing and maintaining a data platform that processes petabytes of data, developing new features, and ensuring business continuity and resiliency for downstream services. The team will work on large-scale distributed systems and collaborate with ML Platform and DevOps teams.
This role involves designing and securing AI systems, identifying risks, and embedding security controls. You will work on mission-critical programmes in government, healthcare, defence, and critical infrastructure, ensuring that AI capabilities are delivered securely and responsibly.
This role involves leading and scaling a high-impact intelligence program across Medtronic EurAsia, transforming market and customer insights into actionable intelligence. Responsibilities include driving the rollout of the program, integrating data from multiple sources, and ensuring high-quality, decision-ready insights.
This role involves leading and scaling a high-impact intelligence program across Medtronic EurAsia, transforming market and customer insights into actionable intelligence. Responsibilities include driving the rollout of intelligence cycles, integrating data from multiple sources, and ensuring high-quality standards and stakeholder engagement.
Thought Machine's mission is bold – to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What...
As a Full Stack Engineer at Thought Machine, you will work on end-to-end features across the stack, ensuring high standards of security, performance, and user experience. You will collaborate with cross-functional teams to deliver complex solutions for global financial institutions, taking ownership from design to implementation.
This role involves executing virtual and physical test and development plans for advanced transport systems, with a focus on electrified powertrains, hybrid systems, and sustainable mobility technologies. The engineer will collaborate across multidisciplinary teams to define instrumentation, analyse high-quality data, and contribute to research outputs such as reports and presentations. Work is conducted in a hybrid model with strong emphasis on on-site project delivery at a world-class R&D facility.
As a Research Scientist at PhysicsX, you will collaborate with machine learning and simulation engineers to develop AI-driven models for predicting physical system behaviors. Your role involves translating complex engineering challenges into mathematical formulations, building and optimizing machine learning models, and communicating results to both technical and non-technical stakeholders.
This role involves developing and applying machine learning interatomic potentials (MLIPs) to model atomistic systems, using state-of-the-art frameworks and large-scale datasets in chemistry and materials science. The Research Scientist will design and run experiments, advance AI-driven simulation models, and collaborate across disciplines to translate research into production-ready pipelines. Work spans high-performance computing environments with a focus on real-world engineering impact across industries like aerospace, energy, and semiconductors.
This role involves defining and executing a comprehensive data strategy to support drug discovery at a tech-driven biotech company. The individual will lead data governance, acquisition, and infrastructure initiatives, working across interdisciplinary teams to ensure high-quality, compliant, and FAIR-aligned data assets. The position emphasizes integration of diverse datasets—including omics, imaging, and clinical data—and building a scalable data foundation for machine learning and research.
