Future Tech Jobs
Future Tech Jobs
We are looking to hire a senior CPU Compiler performance Engineer for an exciting and fun role at NVIDIA. We craft outstanding compilers that realise the potential of NVIDIA's CPUs designed for the world's largest AI and computing markets: https://www.nvidia.com/en-in/data-center/grace-cpu/....
We are looking to hire a senior CPU Compiler performance Engineer for an exciting and fun role at NVIDIA. We craft outstanding compilers that realise the potential of NVIDIA's CPUs designed for the world's largest AI and computing markets: https://www.nvidia.com/en-in/data-center/grace-cpu/....
This role involves leading the design of enterprise-scale AI, Generative AI, and intelligent automation solutions within a large organisation undergoing digital transformation. The architect will define end-to-end technical strategies, integrate cloud-native technologies, and ensure solutions meet security, scalability, and compliance standards. They will work closely with stakeholders to translate business needs into future-focused architectures and mentor other architects in emerging AI and automation practices.
Work on AI model optimisation and hardware-software co-design to integrate FPGA-based AI-ISP accelerators with NVIDIA's Holoscan Sensor Bridge for low-latency edge computing. Develop and evaluate full systems in object detection applications using PyTorch and GPU/FPGA technologies. Collaborate with academic and industrial teams to advance energy-efficient AI signal processing pipelines.
The Lead AI Researcher will lead the development and deployment of cutting-edge deep learning systems for high-stakes defence and national security applications. This founding role involves solving ambiguous, mission-critical problems from concept to production, designing advanced AI models, and establishing engineering standards and tooling for a world-class team. Day-to-day work includes close collaboration with leadership to translate operational needs into technical solutions, training and deploying frontier models, and building robust ML infrastructure in a rigorous, security-conscious environment.
Lead the development and execution of an enterprise-wide data and AI strategy, building and scaling a high-performing team across data engineering, analytics, and AI. Drive modernisation of data platforms on Azure and/or Snowflake, implement scalable data solutions, and deliver AI-driven automation that delivers measurable business impact. Work closely with executive stakeholders to embed data-driven decision-making across the organisation.
Leads a large, multi-stack engineering function across nine retail SaaS products, managing technical leads and driving engineering excellence, AI adoption, and scalable practices. Shapes technology strategy and organisational structure in a high-growth environment. Focuses on continuous improvement, innovation, and talent development across a diverse product portfolio.
Design and implement monitoring, logging, and alerting systems to enable rapid detection and recovery. Build dashboards that reflect real user-centric platform health. Improve deployment safety through better change management, validation, and rollback mechanisms.
Design and build custom full-stack software solutions using OpenAI's APIs to address complex customer challenges. Work on-site with client teams to develop and deploy scalable systems, iterating based on real-world feedback. Contribute to internal best practices and collaborate with research and product teams to improve platform offerings.
Design and implement resilient full-stack features using React, TypeScript, Java, and Spring Boot, with a focus on handling unstable network conditions through advanced client-side persistence and background sync. Integrate AI coding tools to improve development efficiency and code quality, while leading on testing, observability, and secure service-to-service communication. Mentor team members and drive architectural standards in a distributed, operationally intense environment.
This role involves leading the development of a Windows kernel-mode security sensor for CrowdStrike’s Falcon platform, focusing on low-level system internals and cross-platform features. You'll architect and implement core components that detect and prevent threats at the OS level, working across file systems, memory, networking, and process subsystems. The position requires deep expertise in C++ and Windows kernel development, with a strong emphasis on performance, security, and collaboration in a distributed engineering team.
This role involves leading the development of core components for CrowdStrike Falcon Host, focusing on Windows kernel-mode sensor technology to enhance endpoint security. You'll design and build next-generation anti-virus and detection capabilities, working across file systems, memory, networking, and process subsystems. The position requires deep expertise in low-level systems and cross-platform development, with ownership from concept through delivery in a distributed team environment.
This role involves working directly with clients on short to medium-term engagements to solve big data challenges using the Databricks platform. You'll design and implement data engineering and AI solutions, provide technical training, and support the deployment of scalable data architectures. The position requires hands-on coding, system integration, and close collaboration with both customer teams and Databricks engineers to ensure successful project delivery.
This role involves leading a team of ML engineers while maintaining hands-on technical contributions to production-grade machine learning systems. The engineer will shape ML best practices, guide solution design, mentor junior staff, and lead cross-functional teams through the full lifecycle of AI/ML projects—from discovery to deployment and continuous improvement. A strong emphasis is placed on technical leadership, code quality, and clear communication with non-technical stakeholders.
This role involves developing and running simulations for optical space-to-ground laser communication links, using meteorological data and network performance models to forecast availability and optimise system performance. The engineer will analyse large datasets, improve simulation efficiency, and support network architecture decisions including site selection. Work includes algorithm development, empirical data analysis, and creating technical reports to guide product and service improvements.
