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. Collaboration with cross-functional teams and conducting original research to advance the field of ML systems are key aspects of this role.
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 deep collaboration with cross-functional teams to push the boundaries of accelerated computing for AI.
As a Senior Software Engineer on the data engineering team, you will work on building and maintaining ultra-high-scale data platforms that process petabytes of data. Your responsibilities will include writing fault-tolerant Java code within Apache Spark, designing scalable data pipelines, and improving the efficiency and latency of high-performance services. You will also research and implement new ways to query data efficiently and provide insights into active threat trends.
This role involves leading the development and deployment of production-grade machine learning systems, with a focus on fine-tuning large language models and building scalable inference infrastructure. The engineer will own the full ML lifecycle, from data pipelines to deployment, while mentoring teams and integrating AI solutions into products. The position bridges research and engineering in a remote-first, technically driven environment.
The Product Manager will lead the development of AI solutions for enterprise clients, working closely with cross-functional teams to understand customer needs, define product requirements, and manage the end-to-end product lifecycle. The role involves collaborating with executives and driving the commercialization of AI applications across various industries.
About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries....
The Principal Engineer role involves leading the design and implementation of robust software solutions, mentoring junior and mid-level engineers, and contributing to strategic planning. The role also focuses on fostering technical excellence, cross-functional collaboration, and innovation within the organization.
This role involves ensuring high-quality software delivery through both manual and automated testing across web, API, and AI-driven features. The engineer will design test strategies, build automated test suites, and integrate testing into CI/CD pipelines, with a focus on cloud-native and AI-enhanced systems. Emphasis is placed on early quality integration, exploratory testing, and validating the reliability and safety of intelligent agent workflows.
As an Electrical Engineering Manager, you will lead a team of Electrical Designers to develop and maintain cutting-edge automation solutions for the Ocado Smart Platform. Your role involves managing the full lifecycle of electrical products, from initial design to field support, while fostering a culture of continuous improvement and technical excellence.
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.
This role involves leading global procurement for complex electro-mechanical systems within Ocado's technology operations. The Category Lead will design international sourcing strategies, manage key supplier relationships, and ensure supply chain resilience across quality, cost, and delivery metrics. The position requires close collaboration with engineering, manufacturing, and logistics teams to align capacity with demand while driving continuous improvement in a scaling global environment.
About the TeamTraining Runtime designs the core distributed runtime that powers everything from early research experiments to frontier-scale model runs. We work on building robust, scalable, high performance components to support our distributed training workloads. Our priorities are to maximize...
As a Specialist Platform Engineer, you will design, build, and maintain the foundational infrastructure and automation that product teams rely on. You will deploy and scale global cloud applications, optimize public cloud resources, and ensure infrastructure meets security and performance requirements.
In this role, you will design and develop autonomous AI systems that support clinical and operational decision-making in healthcare. You will work closely with product and engineering teams to translate requirements into scalable, safe, and reliable AI-driven solutions, focusing on real-world applications and responsible AI practices.
This role involves designing and operating a Kubernetes-based MLOps platform that supports the full machine learning model lifecycle, from experimentation to scalable inference. The engineer will enable data scientists and ML teams with robust, secure, and user-friendly tooling while ensuring platform reliability, security, and operational excellence in production environments. It combines deep technical delivery with cross-functional collaboration to build platforms that support both traditional ML and LLM workloads.
