Future Tech Jobs
Future Tech Jobs
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work...
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work...
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.
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.
Design and develop high-performance software solutions for complex systems, focusing on C++ development and technical problem-solving. Work across the full development lifecycle, collaborating with engineering teams to improve product functionality and performance. Engage in code reviews, testing, and knowledge sharing within a supportive team environment.
This role involves managing the full lifecycle of data center infrastructure, from rack installation to decommissioning, while leading technical teams in a high-availability environment. The manager will drive operational excellence by leveraging generative AI and automation to improve workflows, support AI/ML and accelerated computing workloads, and ensure compliance with safety and performance standards. Close collaboration with internal teams and external vendors is required to maintain and scale both co-located and new data centers.
