Future Tech Jobs
Future Tech Jobs
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. Collaboration with cross-functional teams and conducting original research are key aspects of this role.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, compiler development, and benchmarking. You'll collaborate with cross-functional teams to enhance NVIDIA's AI capabilities and contribute to industry benchmarks.
This role involves designing, building, and maintaining robust cloud platforms and CI/CD pipelines on GCP. You will collaborate with cross-functional teams to deliver scalable, reliable solutions, contribute to system and architecture design, and continuously improve platform performance and security.
Senior Data Platform Engineer (Fixed Term Contract)When registering to this job board you will be redirected to the online application form. Please ensure that this is completed in full in order that your application can be reviewed.We’re looking for a...
This role involves designing, building, and maintaining event-driven integrations and backend services across enterprise and SaaS systems. You will work with modern cloud-native and streaming technologies, focusing on scalable integration patterns, data pipelines, and observability, while contributing to architecture and engineering standards.
Design and optimize compiler technology for NVIDIA's Grace CPU architecture, focusing on performance-critical AI and HPC workloads. Collaborate with global teams and upstream open-source communities to enhance the GNU toolchain and influence next-generation CPU microarchitecture development.
This role involves building and maintaining cloud-based infrastructure, automating CI/CD pipelines, and supporting Kubernetes and containerized applications. You will work closely with development and operations teams to enhance system reliability and security, with a focus on continuous improvement and operational ownership.
Design and build AI-powered applications using GenAI frameworks and full-stack technologies for enterprise clients. Develop proof-of-concepts and scale them into production-grade systems using cloud-native architectures. Work across the stack with a focus on LLMs, RAG, agents, and modern AI tooling in a collaborative consultancy environment.
Design and build AI-powered applications using GenAI frameworks like LangChain and RAG, scaling proof-of-concepts into production for enterprise clients. Work across full-stack Python and TypeScript systems, integrating LLMs with cloud-native infrastructure on AWS or Azure. Collaborate in a hybrid setup with focus on modern AI tooling, vector databases, and scalable microservices.
This role involves building and maintaining the infrastructure that supports AI deployment, focusing on data pipelines, system integrations, and production-grade reliability. The engineer will take AI prototypes from concept to scalable, robust systems integrated with CRMs, ERPs, and SaaS platforms. Emphasis is on automation, data integrity, and seamless communication between AI agents and enterprise systems.
This role involves maintaining and supporting enterprise middleware platforms, ensuring system stability, performance, and availability across production and non-production environments. The engineer will troubleshoot incidents, automate tasks using Shell or Python, support API integrations, and participate in on-call rotations. Work follows ITIL processes and involves close collaboration with infrastructure, application, and database teams.
This role involves designing and developing scalable Python applications, building cloud-native data processing pipelines, and managing workflows using tools like Airflow. You will work closely with DevOps, security, and infrastructure teams to ensure secure and reliable deployments in a hybrid working model with a focus on cloud and data engineering.
In this role, you will work on developing and optimizing compilers for NVIDIA's CPUs, particularly the Grace CPU, which is crucial for AI, HPC, and data center applications. You will collaborate with a distributed team to improve the GNU Toolchain, contribute to open source projects, and optimize compiler performance for next-generation CPU micro-architectures.
This role involves designing and optimizing compiler technology for NVIDIA's Grace CPUs, with a focus on performance-critical AI and HPC workloads. You'll contribute to the upstream GNU Toolchain, develop new compiler features and optimizations, and collaborate with open-source communities and pre-silicon teams. The position is central to advancing NVIDIA's data center and supercomputing technologies.
This role involves designing, building, and maintaining software systems that power retail operations, e-commerce, and business automation. You will work on a variety of projects, including API integrations, cloud applications, and AI-powered workflows, with a focus on improving business efficiency and customer experience.
