Future Tech Jobs
Future Tech Jobs
As an Applied AI Researcher, you will develop and adapt deep learning methods for world reconstruction, novel view synthesis, and neural rendering. You will work with a team of researchers to prototype solutions, improve scene realism, and build robust technology for autonomous systems and intelligent machines.
As an Applied AI Researcher, you will develop and adapt deep learning methods for world reconstruction, novel view synthesis, and neural rendering. You will work closely with a team of researchers and developers to turn cutting-edge research into robust technology, focusing on improving the realism and controllability of generated scenes.
This role involves defining the system architecture for deploying Wayve AI Driver in robotaxi platforms, translating use cases into product and integration requirements, and working closely with internal and external partners to ensure a coherent and deployable system. The System Architect will also identify where deployment-specific requirements should influence Wayve’s product architecture and technical roadmap.
This role involves leading the design and implementation of complex defence technology solutions across a portfolio of innovation and experimentation programmes. The Solutions Architect will act as a trusted technical advisor to senior stakeholders in defence and government, translating operational challenges into deliverable systems leveraging AI, autonomous systems, cloud, cyber, and multi-domain integration. It combines strategic architecture, customer engagement, and technical leadership to transition emerging technologies into operational use.
In this role, you will design and develop autonomous AI systems that support clinical and operational decision-making in healthcare. You will work closely with product and engineering teams to translate requirements into scalable, safe, and reliable AI-driven solutions, focusing on real-world applications and responsible AI practices.
This role involves leading the design, delivery, and scaling of enterprise-grade AI engineering strategies and capabilities, focusing on agentic AI systems, cloud-native architectures, and responsible AI deployment. The AI Engineering Manager will combine hands-on technical work with team leadership, ensuring high performance, security, and governance in AI projects.
The System Test Engineer role at Wayve involves developing and automating system functionality tests across hardware and software boundaries. You will lead root cause investigations, optimize CI/CD test workflows, and integrate third-party verification tools to ensure high-quality and reliable testing processes.
This role involves designing, developing, and maintaining end-to-end AI solutions, including front-end interfaces, back-end services, and data pipelines. The AI Engineer will work closely with data scientists, engineers, and business stakeholders to deliver scalable, secure, and impactful AI systems, with a focus on Generative AI, Agentic AI, and machine learning.
This role involves leading the design and development of reliable, multi-step agentic systems and long-horizon reasoning frameworks for national security and public policy. You will conduct applied research to solve unique challenges in sovereign AI, focusing on system reliability, safety, and performance in high-stakes environments.
As a Senior Software Engineer in the Backend team, you will design and maintain large-scale distributed systems, lead technical initiatives, and integrate AI tools like Claude Code, Gemini, and GitHub Copilot into your workflow. You will work closely with business and product partners to translate requirements into engineering solutions, ensuring high-quality standards and continuous process improvements.
Design and develop large-scale, cloud-based backend systems for automated in-store order fulfilment using Java/Scala and distributed systems. Drive technical initiatives, integrate AI tools into development workflows, and support production systems with a focus on resilience, scalability, and continuous improvement. Collaborate with product teams and mentor engineers in an agile environment.
This role involves designing, building, and integrating AI applications into end-to-end workflows, embedding agentic AI into customer and operational processes, and collaborating with cross-functional teams to deliver robust, production-ready solutions. The focus is on turning emerging AI capabilities into practical, high-value implementations while ensuring reliability, resilience, and safety.
This role involves defining and developing end-to-end software architecture for advanced vehicle automation and robotic systems, with a focus on safety-critical real-time software. You will lead the design of computer vision, sensor integration, digital twin, and simulation systems while establishing robust CI/CD pipelines. Close collaboration with cross-functional engineering teams ensures seamless embedding of software into physical hardware within a high-integrity R&D environment.
This role involves researching and developing methods to ensure the reliability of AI system evaluations and monitoring, particularly as models become more complex and less transparent. You will work on projects like creating chain-of-thought monitorability benchmarks and collaborating with leading AI labs and government officials to inform policy and safety practices.
Design and build software to manage large-scale GPU infrastructure supporting ChatGPT inference, including automation, observability, and capacity planning. Develop internal platforms and AI-powered agents to improve fleet efficiency and reduce manual operations across thousands of GPUs. Collaborate with research and engineering teams to enhance reliability and utilization of compute resources.
