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 measurable performance improvements and develop reference implementations.
This role involves driving performance and scalability of the NVIDIA DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator, DCGM, and NIM. The engineer will diagnose complex distributed systems issues, build automated testing and monitoring tools, and contribute to open-source communities to optimize AI infrastructure at scale.
This role involves leading the technical direction and delivery of complex multi-physics simulations, working closely with Data Scientists, Machine Learning Engineers, and customers. Responsibilities include building and validating complex models, integrating experimental data, and optimizing simulation workflows. The role also involves mentoring junior colleagues and traveling globally to support customer projects.
As a Senior Simulation Engineer - Electromagnetics Specialist, you will work closely with Data Scientists, Machine Learning Engineers, and customers to deliver high-fidelity simulations. Your responsibilities include setting up and interpreting electromagnetic models, collaborating on AI-driven tools, and solving complex engineering challenges across various industries.
As a Senior Security Engineer, you will play a crucial role in architecting and managing the security of Isomorphic Labs' AI-based platform and HPC infrastructure. You will work closely with DevOps, SRE, and other teams to ensure robust security practices, including threat modeling, incident response, and compliance automation.
The Red Team TechOps Engineer will support Red Team activities by maintaining and managing the technology stack, ensuring infrastructure compliance, and proactively identifying improvements. The role involves administering Windows and Linux systems, scripting in Python and Bash, and working with cloud services like AWS and Azure.
Lead the development and deployment of machine learning models from problem definition through to production, working with real-world operational data. Focus on rigorous experimentation, statistical reasoning, and integration within secure, regulated environments. Collaborate across technical and non-technical stakeholders to deliver impactful, well-engineered solutions.
As a Senior Platform Engineer, you will be responsible for designing and maintaining the cloud infrastructure and CI/CD pipelines that support our AI-driven products. Your role involves implementing robust monitoring and operational controls for AI/ML systems, ensuring high performance, security, and compliance with industry standards.
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...
The Forward Deployed Engineer role involves working closely with client engineering teams to design, build, and deliver production-ready implementations of Thought Machine's Vault products. This hands-on, generalist engineering role spans backend development, systems integration, infrastructure, and technical consulting, with a focus on client success and continuous product improvement.
Fractile is building silicon, systems, and software which will redefine the frontier of AI: running the world’s most advanced models at radically higher speed and lower cost. We have an exceptional team across hardware and software capable of bringing about...
This role involves hands-on development and deployment of LLM-based applications into production environments. The Senior AI/ML Engineer will bridge the gap between advanced AI/ML and production-grade software, working in a newly formed R&D team to influence how AI capabilities are embedded into existing and new products. The role offers opportunities for leadership and growth within a fast-growing, market-leading company.
This role involves designing, building, and deploying production-grade generative AI systems, implementing RAG pipelines, and developing agentic workflows. You will work closely with platform, product, and delivery teams to ensure AI systems are accurate, reliable, and scalable, while providing technical leadership and mentoring to other engineers.
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 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.
