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 distributed teams and upstream open-source communities to enhance the GNU Toolchain and influence next-generation CPU microarchitecture. Work at the forefront of compiler innovation in a systems software context.
The Automation Engineer will work across business teams to identify inefficiencies and build automation solutions by combining low-code platforms with custom code in Python or JavaScript. The role involves integrating AI models via APIs into workflows, designing end-to-end pipelines, and translating non-technical requirements into robust, maintainable systems. This position operates at the intersection of engineering and operations, with a focus on clean, hand-written code and production-grade integrations.
This role involves building and evolving backend services for AI-driven products used by global media organizations. You will focus on scalability, performance, and reliability, working closely with Product and Data Science teams to enhance the platform's core systems.
About the TeamOpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing together world-class scientists, engineers, and business leaders to translate frontier research into real-world impact.Within OpenAI, the Go-to-Market organization helps...
This role involves conducting manual quality audits on data workflows produced by Data Associates, validating automated quality systems, and identifying root causes of issues. The auditor will coach local teams, document findings, and collaborate with managers to refine quality processes. It plays a key part in ensuring high-quality data for AI training within a structured global network.
This role involves conducting manual quality audits on data workflows produced by Data Associates, validating automated quality systems, and identifying root causes of issues. The auditor will coach team members, report findings, and work with managers to improve QA processes. It plays a key role in ensuring high-quality data for AI training within a structured, compliance-driven environment.
Design, build, and operate scalable, reliable infrastructure supporting AI systems like ChatGPT and the OpenAI API. Focus on performance, observability, security, and automation while collaborating with research, product, and engineering teams. Improve developer experience and system resilience at global scale.
This role involves developing end-to-end machine learning systems integrated with advanced electronics for defence and security applications. You'll work across diverse domains such as computer vision and generative models, building functional prototypes and demonstrators. The role emphasizes innovation, rapid iteration across projects, and close collaboration in a technically driven, low-management environment.
This role involves managing the full lifecycle of data center infrastructure, from rack installation to decommissioning, while leading technical teams in a high-performance environment. The manager will drive operational excellence by implementing automation, leveraging Generative AI for workflow improvements, and adopting emerging technologies like liquid cooling and AI accelerators. Collaboration with internal teams and external vendors is essential to maintain safety, reliability, and continuous innovation across global data centers.
As an Applied Scientist in the Alexa International Tech team, you will develop cutting-edge generative AI and speech synthesis technologies to enhance Alexa's natural and culturally relevant communication across multiple languages. Your work will involve designing and conducting experiments, prototyping new approaches, and collaborating with engineering teams to deploy these models at scale.
This role involves hands-on collaboration with major European telecom operators to build AI-driven prototypes and proof-of-concepts directly in customer environments. The focus is on accelerating cloud and AI adoption through co-development, using AI-augmented tools, infrastructure-as-code, and agentic AI systems. The position blends technical leadership, strategic advisory, and engineering execution to drive tangible business outcomes.
Design and deliver integrations between CrowdStrike Falcon Platform and technology partners across Europe, providing technical leadership in joint go-to-market initiatives. Support partners through solution design, proof-of-value execution, and integration validation while promoting best practices in security and cloud operations. Drive adoption by enabling partner teams with training, tooling, and scalable automation, with a focus on AI-enhanced workflows and operational efficiency.
Lead the development of next-generation AI systems for cybersecurity, focusing on large language models and deep learning applied to real-time threat detection. Design and implement production-grade AI solutions at massive scale, mentor research teams, and shape technical strategy. Work in a research-driven environment that bridges cutting-edge AI innovation with practical deployment across a global security platform.
This role involves leading AI research strategy and developing production-grade generative AI systems to enhance cybersecurity at scale. The candidate will drive innovation in reasoning, summarisation, and interactivity using LLMs and deep learning, while mentoring teams and shaping technical direction. Work is focused on integrating cutting-edge AI into real-world security applications within a high-performance, research-driven environment.
This role involves designing and implementing cloud platform features for CrowdStrike’s AISOAR platform, focusing on marketplace integrations, search, and discoverability. The engineer will work with distributed systems at scale, using AI-driven approaches to enhance cybersecurity solutions, while ensuring high availability, operational excellence, and integration with customer workflows. The position requires deep technical expertise in cloud-native technologies and a strong focus on security and innovation.
