Future Tech Jobs
Future Tech Jobs
Design and optimize compiler software for NVIDIA's Grace CPUs, focusing on performance-critical AI and HPC workloads. Collaborate with global teams and upstream open-source communities to enhance the GNU Toolchain. Contribute to next-generation CPU architecture development and compiler infrastructure improvements.
Design and build enterprise-grade identity, access control, and observability systems for a high-fidelity AI simulation platform. You'll create fine-grained permission models, secure multi-tenant authentication flows, and deep telemetry infrastructure to support both human and AI agent workflows across regulated industries. Work closely with data scientists and simulation engineers to enable secure, scalable collaboration in advanced engineering domains.
Develop and optimize the ML compiler stack for novel AI accelerator hardware, working closely with cross-functional teams in a full-stack co-design environment. Define core compiler architecture including IR, lowering strategies, and optimization passes to enable high-performance execution of large language models. This role is central to shaping the foundational technology of a ground-up AI execution engine.
Design and develop a high-performance machine learning compiler stack for novel AI accelerator hardware. Work closely with hardware, runtime, and ML teams in a full-stack co-design environment to optimise execution of large language models. Define core compiler architecture including IR, optimisations, and lowering strategies from the ground up.
Develop pre-silicon software models for AI accelerator hardware to support architecture design, performance evaluation, and early software development. Work closely with hardware, software, and ML teams in a collaborative co-design environment. Models will inform product design and enable verification prior to fabrication.
Develop and optimize the ML runtime stack for AI accelerators, integrating with open-source frameworks like PyTorch, vLLM, and SGLang. Work closely with hardware and ML teams in a co-design environment to deliver high-performance inference solutions. Build low-level systems in Rust while contributing to the full software stack for next-generation AI hardware.
Develop pre-silicon software models of AI accelerator hardware to support architecture design, performance analysis, and early software development. Work collaboratively across hardware, software, and machine learning teams using a co-design methodology. Contribute to the development of high-performance computing solutions for large language models.
Develop and optimize the ML runtime stack for AI accelerators, integrating with open-source frameworks like PyTorch and vLLM. Work closely with hardware and software teams in a co-design environment to enable high-performance inference. Build low-level systems in Rust and contribute to cutting-edge AI infrastructure.
This role involves designing, building, and deploying advanced machine learning models to solve complex operational challenges in real-world environments. You will work closely with a high-calibre founding team, industrial data, and customer environments to take machine learning systems from early validation through to scalable deployment.
This role involves deploying and scaling machine learning models for high-fidelity engineering simulations, working directly with customers to integrate AI into production environments. The Principal ML Engineer will lead technical architecture, build robust data and inference pipelines using Python, PyTorch, and Kubeflow, and mentor teams across global customer sites. The position bridges advanced physics-based challenges with practical AI solutions in industries like aerospace, energy, and semiconductors.
As a Senior CFD Engineer, you will work closely with Data Scientists and Machine Learning Engineers to deliver high-fidelity simulations and address complex engineering challenges. Your role involves building multi-physics models, automating simulation pipelines, and collaborating with customers to integrate AI-driven solutions, while traveling globally to support on-site projects.
This role involves building and deploying AI-driven simulation applications that solve complex engineering problems across industries like aerospace, energy, and semiconductors. You'll work closely with customers, data scientists, and ML engineers to design end-to-end tools that integrate physics AI models into real-world engineering workflows. The position emphasizes rapid prototyping, full-stack development, and translating cross-industry challenges into scalable software solutions.
Develop and optimize machine learning and computer vision algorithms for real-world perception and intelligence systems. Work on end-to-end development, from data analysis and model experimentation to deployment and workflow automation. Collaborate across teams, mentor colleagues, and contribute to best practices in a technically advanced engineering environment.
This role involves designing and maintaining large-scale continuous integration infrastructure to support rapid, reliable code deployment across multiple cloud environments. The engineer will build intelligent test selection systems, improve CI reliability through flake detection and automation, and enhance developer productivity with scalable tooling. The position operates within a high-impact research and product environment focused on safe and steerable AI systems.
This role involves providing hands-on IT support across a primarily macOS environment, resolving technical issues in hardware, software, networking, and accounts. The engineer will triage tickets, automate repetitive tasks using Bash or Python, improve onboarding at scale, and collaborate with IT Engineering and Security teams. Emphasis is placed on problem ownership, process improvement, and using automation—including AI tools like Claude—to enhance efficiency and employee experience.
