Future Tech Jobs
Future Tech Jobs
We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible...
As a Senior HPC DevOps Engineer, you will design, implement, and maintain large-scale HPC and AI clusters, focusing on state-of-the-art monitoring, logging, and alerting systems. You will work closely with HPC, OS, GPU compute, and systems specialists to architect and develop performance platforms, streamline CI/CD pipelines, and automate complex networking and deployment processes.
This role involves leading large-scale training of video foundation models for Wayve's Gaia system, which functions as a predictive world model for autonomous driving. The engineer will drive architectural innovation, improve synthetic scenario generation, and collaborate across research and engineering teams to enhance model capabilities. It is a senior technical leadership position focused on advancing the core AI infrastructure behind embodied driving intelligence.
This role involves developing embedded software platforms that interface with automotive hardware and Wayve’s AI driving models. The engineer will create abstractions and APIs to enable consistent deployment of autonomous vehicle software across different platforms, working on systems like Linux and QNX while minimizing platform-specific code. The position emphasizes performance, reliability, and close collaboration with hardware and software teams to advance scalable, production-ready AV technology.
This role involves designing and building end-to-end AI-native applications using cutting-edge technologies like Large Language Models, agentic AI, and multimodal frameworks. The engineer will develop production-ready AI solutions, including RAG architectures, vector search, and agent orchestration, while working across full-stack environments with Python, TypeScript, and modern front-ends. The position is embedded in a financial services context, focusing on delivering scalable, enterprise-grade AI systems that solve real business problems.
This role involves designing, developing, and deploying Camunda-based process and decision automation solutions, integrating Java-based microservices, and collaborating with solution architects and business analysts. You will play a key part in defining technical standards, optimizing performance, and mentoring less-experienced engineers.
This role involves leading the development of physics-informed predictive maintenance systems for high-value industrial equipment. You will work directly with major industrial customers to build pipelines that fuse periodic inspection imagery with equipment operating history and physics-based inputs to predict remaining component life, helping operators reduce costly unplanned interventions and optimize asset availability.
As a Principal Machine Learning Engineer, you will lead the design and implementation of large-scale AI systems, providing technical direction and solving complex challenges across multiple projects. You will work closely with business units to ensure solutions are robust, scalable, and aligned with industry standards, while fostering team growth and influencing company strategy.
This role involves leading research strategy and innovation in generative AI for cybersecurity, focusing on large language models and deep learning. You'll architect and implement production-grade AI systems at massive scale, mentor technical teams, and drive thought leadership through publications and cross-functional collaboration. The position uniquely combines cutting-edge AI research with real-world impact on breach prevention using proprietary data and advanced GPU infrastructure.
This role involves leading research strategy and innovation in generative AI for cybersecurity, focusing on large language models and deep learning. The Data Scientist will architect and implement production-grade AI systems at massive scale, mentor technical teams, and drive responsible AI adoption. Work includes developing novel reasoning, summarization, and interactive AI capabilities using proprietary data and advanced GPU infrastructure.
As a Platform Engineer, you will architect and maintain the infrastructure that enables the deployment of world-class AI solutions. You will work closely with the Applied AI team to build and refine data science, MLOps, and deployment tooling, ensuring high performance and seamless integration into diverse client environments.
As a Delivery Manager in Faculty's National Security and AI Safety team, you will lead the delivery of high-stakes AI projects for critical government partners. Your role involves strategic planning, project management, and building strong relationships with clients and multidisciplinary teams to ensure the successful implementation of AI solutions that address complex national security challenges.
Our MissionAt Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice,...
Discover your future at CitiWorking at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow...
As a Senior Machine Learning Engineer, you will lead the deployment of AI models and engineering surrogates into customer production environments, working closely with Data Scientists, Simulation Engineers, and customers. You will mentor team members, travel to customer sites, and influence product direction by driving reliable and scalable ML systems.
