Future Tech Jobs
Future Tech Jobs
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 drive performance improvements.
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 drive performance improvements.
This role involves developing and applying machine learning interatomic potentials (MLIPs) to model atomistic systems in materials science, using state-of-the-art frameworks and benchmark datasets. The Research Scientist will design and run experiments on large-scale chemistry and materials datasets, iterate on model architectures, and integrate models into production-ready pipelines. Work is conducted on high-performance computing infrastructure, with opportunities to publish research and mentor team members as the company scales.
This role involves developing and scaling AI-driven physical foundation models for engineering simulation, bridging research and production. You'll work closely with scientists and engineers to transform prototypes into robust, distributed systems using high-performance computing and machine learning frameworks. The position emphasizes technical ownership, cross-functional collaboration, and real-world impact across advanced industries.
Develop and apply machine learning models to link DNA sequence and regulatory elements to molecular and cellular phenotypes, supporting target discovery and disease mechanism elucidation. Work within an interdisciplinary team to integrate genomic, transcriptomic, and epigenomic data, validate hypotheses, and translate computational insights into therapeutic impact. Focus on sequence-to-function modelling, including variant effect prediction and non-coding variant interpretation.
This role involves developing and implementing computational workflows for multi-omics data analysis, designing statistical models, and collaborating with ML modellers and experimental teams to drive transformative insights in drug discovery. The position is embedded within the Single Cell and Spatial Omics team, focusing on advanced data analysis and hypothesis validation.
This role involves collaborating with researchers and engineers to advance the capabilities and safety of large language models through reinforcement learning. Responsibilities include developing core RL infrastructure, designing novel training environments, and optimizing performance across the stack.
Fellows will engage in full-time, 4-month research projects aligned with Anthropic's AI safety and security priorities. They will receive mentorship, access to shared workspaces, and a weekly stipend, with the goal of producing public outputs like research papers.
This role involves developing and integrating the ML runtime stack for Fractile's AI accelerators, focusing on high-performance inference systems. You'll work closely with hardware and software teams to co-design solutions, integrating with open-source frameworks like PyTorch, vLLM, and SGLang. The position emphasizes Rust-based runtime development and deep collaboration across disciplines to optimize AI hardware performance.
This role involves developing and optimizing the runtime stack for AI accelerators, focusing on integrating with open-source ML frameworks like PyTorch and vLLM. The engineer will work closely with hardware and software teams using a co-design approach to enable high-performance inference for large language models. Key responsibilities include building a high-performance runtime in Rust and supporting inference server integrations.
In this role, you will develop core modules for an engineering design platform, integrate them into a cloud compute environment, and streamline complex engineering processes through high-quality automation. You will work in a fast-paced, innovative environment with a focus on solving unique challenges and pushing the boundaries of high-performance component design.
This role involves developing responsive front-end interfaces and cloud applications for fans, customers, and partners within a football technology environment. You'll work alongside experienced cloud architects to build and optimise user journeys using modern front-end frameworks, with a focus on learning and growth. The position supports digital innovation at the intersection of sports, AI, and user experience.
In this role, you will work on developing and scaling cloud-based computer vision services for Ring's smart home products, collaborating with cross-functional teams to enhance customer experiences and drive innovation. You'll tackle complex technical challenges, design new features, and ensure the reliability and performance of global-scale cloud services.
This role involves designing and enhancing real-time market data infrastructure, building scalable platforms for quantitative research, and developing simulation and backtesting environments. Engineers will also create research tooling, optimize performance-critical systems, and contribute to the architecture of next-generation trading and research infrastructure.
Design and develop embedded software platforms that interface with automotive hardware and autonomous driving systems, creating abstractions and APIs to enable consistent deployment across varied target platforms. Work across Linux and QNX systems, integrating core AV functions like inference, control, and localisation while minimising platform-specific customisation through robust middleware and hardware abstraction layers.
