Future Tech Jobs
Future Tech Jobs
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.
In this role, you will analyze and optimize High Performance Computing (HPC) applications on NVIDIA's HPC servers and systems. You will work with a range of applications, from small benchmarks to large-scale distributed-memory systems, identifying performance bottlenecks and providing insights to compiler and application engineering teams.
In this role, you will analyze and optimize High Performance Computing (HPC) applications on NVIDIA's HPC servers and systems. You will work with a range of applications, from small benchmarks to large-scale distributed-memory systems, and provide insights to compiler and application engineering teams to improve performance.
In this role, you will analyze and optimize High Performance Computing (HPC) applications on NVIDIA's HPC servers and systems. You will work with a range of applications, from small benchmarks to large-scale distributed-memory systems, and provide insights to compiler and application engineering teams to improve performance.
In this role, you will analyze and optimize High Performance Computing (HPC) applications on NVIDIA's HPC servers and systems. You will work with a range of applications, from small benchmarks to large-scale distributed-memory systems, and collaborate with compiler and application engineering teams to identify and implement performance improvements.
The role involves working on enterprise-level data pipelines using modern technologies like Python, SQL, dbt, Azure Functions, and Azure DevOps. You will help drive improvements to the data platform and contribute to the company's growth and technical direction.
As a Droid at Nscale, you will tackle high-impact, undefined problems across various functions, working closely with senior leaders to drive strategic and operational initiatives. Your role will involve breaking down complex challenges, owning project delivery, and fostering cross-functional alignment to support the company's rapid growth and innovation.
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.
The Data Architect role involves leading the design and delivery of modern Azure-based data solutions, working closely with clients to define and implement scalable, cloud-native data platforms. Responsibilities include shaping end-to-end data architectures, designing cloud data platforms, and engaging with stakeholders to present solutions and promote best practices.
The Data Architect role involves leading the design and delivery of modern Azure-based data solutions, working closely with clients to define and implement scalable, cloud-native data platforms. Responsibilities include shaping end-to-end data architectures, designing cloud data platforms, and engaging with stakeholders to present solutions and best practices.
Lead and mentor a core data team while overseeing PowerApps and SharePoint workstreams, shaping data strategy and driving complex data projects in a forward-thinking global organisation. Operate in a hybrid environment with a focus on modern data platforms including Azure, Databricks, and Microsoft Fabric. Collaborate across disciplines to ensure robust data governance, architecture, and delivery using cutting-edge cloud technologies.
This role involves designing and deploying production-grade AI systems using both traditional machine learning and generative AI techniques, with a focus on Retrieval-Augmented Generation (RAG), agentic workflows, and LLM-powered applications. The engineer will own the full AI lifecycle—from design and development to deployment and optimisation—within cloud-native environments. Collaboration with cross-functional teams ensures technical solutions align with business needs while advancing MLOps and governance practices.
This role involves hands-on technical delivery of red team engagements, including attack path design, threat scenario planning, and phishing campaigns. You'll work closely with a Technical Director to develop your skills in offensive security, focusing on real-world attacker simulations across enterprise and hybrid environments.
This role involves designing and building robust data pipelines, working with structured and unstructured data, and developing data models to support analytics. You will collaborate with a diverse team to deliver scalable, cloud-based data platforms and ensure data quality and performance.
