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. This role involves collaborating with cross-functional teams to push the boundaries of accelerated computing for AI.
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 to advance the field of ML systems are key aspects of this role.
As a Staff Product Designer for Faculty AI's Frontier platform, you will lead the design of an AI-native Decision Intelligence system, focusing on complex simulations and human-AI collaboration. You will establish design coherence, pioneer new interaction models, and mentor the team to achieve high-quality, scalable design solutions.
Design and build full-stack AI-powered applications, working closely with data scientists and product managers to turn machine learning models into scalable, production-grade systems. Focus on creating robust, maintainable architectures that balance rapid iteration with long-term reliability in a regulated environment.
This role involves leading the end-to-end design of AI-native, human-centred products for high-stakes defence applications. You'll conduct user research, develop accessible and intuitive interfaces, and evolve design systems in close collaboration with machine learning and engineering teams. The work focuses on delivering ethical, reliable AI solutions that support national security and global stability.
The role involves designing and managing data-driven trading models for global macroeconomic assets, primarily using futures and foreign exchange. Responsibilities include developing systematic trading strategies, applying advanced quantitative methods, and collaborating in a research-driven environment to enhance alpha models and portfolio construction techniques.
This role involves building and deploying machine learning models in secure, data-rich environments, contributing to national-level outcomes. You will work with large datasets, develop AI-driven capabilities, and collaborate with a multidisciplinary team to support mission-critical systems.
The role involves maintaining strict confidentiality, working with various data types (text, speech, image, video), and delivering high-quality labelled data using in-house tools. You will be part of a diverse team focused on improving Alexa's performance through dialogue evaluation and data annotation.
This role involves optimizing ad matching for Amazon’s programmatic advertisement products, working with large datasets and machine learning models to deliver relevant ads at scale. You will collaborate with scientists and product teams to prototype, test, and integrate solutions into Amazon's high-traffic systems.
This role involves leading functional safety activities for Wayve’s autonomous driving systems, working with internal and external teams to build safety concepts, conduct risk assessments, and define test specifications. The position requires a deep understanding of ISO 26262 and experience in vehicle-level testing and safety case development.
As a Product Feature Owner for ADAS, you will take end-to-end responsibility for specific advanced driver assistance systems, ensuring they meet OEM requirements and are delivered to spec. You will collaborate closely with OEMs, product teams, and engineering teams to define feature scope, set performance targets, and ensure compliance with industry standards.
This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc....
The OpportunityLuminance is the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World' and Inc. 5000's ‘Fastest Growing Companies in...
As a Tech Recruiter at Databricks, you will drive recruitment in the EMEA region, focusing on identifying and engaging top talent. You will develop full-cycle hiring strategies, build engaged talent pipelines, and use data to inform workforce planning and enhance the interview experience.
This role involves building and running functional and performance models of processor and accelerator microarchitectures using C++ and SystemC, directly influencing early-stage chip design decisions. You'll explore architectural trade-offs like cache sizing, memory bandwidth, and pipeline structure, translating findings into actionable guidance for hardware and software teams. The position sits at the intersection of hardware architecture, software systems, and ML inference, with close collaboration across RTL, verification, and physical design teams to shape silicon before RTL is written.
