The Software Engineer will work on the complete development lifecycle of flight safety and navigation systems, from concept and algorithm design to system integration and testing. You will collaborate with a multidisciplinary team to deliver high-performance solutions, maintain high-quality code, and produce comprehensive documentation.
This role involves leading and developing a team of embedded software engineers responsible for the development and delivery of complex embedded software and HMI solutions. The manager will provide technical leadership, define engineering standards, and work closely with cross-functional teams to ensure successful product delivery.
Develop and test control systems for robotic ground and aerial vehicles using C++ and Python. Integrate sensors and actuators, support simulation and validation, and collaborate with cross-functional engineering teams. Focus on building robust software for real-world autonomous platforms.
This role involves designing, developing, and maintaining software and control systems for automated machinery. Responsibilities include working with VB.NET, producing system specifications, integrating software with hardware, and supporting international installations.
This role involves leading software projects from requirements gathering to deployment, working closely with development teams, product specialists, and customers. Responsibilities include project planning, stakeholder coordination, risk management, and ensuring high-quality delivery in a fast-paced environment focused on logistics and warehouse automation.
As a Software Architect, you will design and govern the software architecture and CI/CD pipelines for a fast-growing robotics defence technology business. Your responsibilities include setting up unit testing, verification, and validation processes, integrating control systems, computer vision, and simulation, and ensuring the software meets safety-critical standards.
Develop and deploy software for industrial robotic systems using a modern ROS 2 Jazzy stack, with responsibilities spanning feature development, debugging, and integration on physical hardware. Work closely with robotics and controls engineers in a collaborative environment, contributing to modular, testable components and improving engineering processes. The role involves hands-on work with real-world automation challenges and deployment onto physical robots.
Develop and deploy software for industrial robotic systems using a modern ROS 2 Jazzy stack, working across simulation and real hardware. Collaborate with robotics and controls engineers to deliver modular, testable components and resolve complex system issues in manufacturing environments. Contribute to tooling and processes while ensuring robust integration with physical systems.
Software EngineerSalary to £60k + benefitsHybrid role - 3 days a week (Tues, Wed, Thurs) on-site in Witney, Oxfordshire,CompanyPioneering safeguards for embodied-AI, this company is building the trust layer for autonomy and physical AI. They aim to be the global...
IntroductionSaab UK is part of Scandinavia's largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence...
This role involves ensuring the software and AI components of humanoid robots are designed for easy diagnosis, repair, and maintenance in the field. The engineer will develop diagnostic tooling, validate service procedures, and define remote-diagnostics content using platforms like Digital Shadow. It's a hands-on position bridging R&D and field services, with a focus on firmware, bootloader resilience, and over-the-air update recovery.
This role focuses on developing robust software systems to measure and evaluate control quality in humanoid robots, transforming subjective assessments into reliable, automated metrics. You'll build test infrastructure, CI integration, and fleet-wide performance dashboards using real robot data and simulation. The position emphasizes data pipelines, reproducible evaluation, and close collaboration with control engineers to ensure performance consistency across hardware and software releases.
Develop and maintain high-performance simulation systems for Wayve’s embodied AI driving stack, integrating complex components across C++ and Python. Focus on realism, reproducibility, and scalability in open-loop and closed-loop workflows. Collaborate with cross-functional teams to debug discrepancies between on-road and simulated behaviour and improve system observability and performance.
Design and build scalable Python libraries and tools that support ML engineers and researchers in training and evaluating models for autonomous driving systems. Work closely with ML teams to develop reliable, observable, and reusable abstractions for data pipelines, distributed training, and model evaluation across large GPU clusters. Contribute to the evolution of a high-impact AI platform enabling mapless, hardware-agnostic automated driving.
Design and govern software architecture and CI/CD pipelines for safety-critical autonomous and robotic systems, integrating control, computer vision, sensor fusion, and simulation platforms. Support system integration and field trials with military users while ensuring scalability and compliance readiness. Work in a hybrid setup with flexible hours and strong technical ownership.
