QA & Test Engineer – Runtime Assurance Systems Location: Oxford 2-3 days / week (on-site at HQ) Employment Type: Permanent – Full Time The role We are seeking an exceptional QA & Test Engineer to join the engineering team building cutting‑edge runtime assurance systems for AI and robotics applications. The role holder will play a vital part in developing and assuring safety‑critical embedded software components that underpin the safe and reliable operation of the company’s solutions. Key responsibilities Lead the design, development and implementation of embedded software for the runtime assurance platform across various hardware architectures and real‑time operating systems. Ensure compliance with industry standards, regulations and best practices for safety‑critical software development, such as DO‑178C, ISO 26262 and IEC 61508. Manage build configuration and CI/CD pipelines, using services such as Jenkins, CloudBuild or AWS CodePipeline. Integrate performance testing techniques across multiple types of simulation (e.g. Gazebo, rosbag‑based workflows). Collaborate with hardware engineers, systems architects and AI/ML specialists to integrate embedded software and test frameworks into the overall system. Participate in code reviews, performance optimisation and comprehensive testing (unit, integration and system level) to maintain high quality standards. Develop, implement and execute test strategies and verification activities for safety‑critical software, including static and dynamic code analysis using tools such as Rapita RVS, LDRA, VectorCAST or Polyspace. Define and maintain test cases, procedures and automation frameworks to ensure consistency and repeatability. Support compliance with safety standards (e.g. DO‑178C, ISO 26262, IEC 61508, DEF STAN 00‑55) through rigorous testing and documentation. Lead defect reporting, tracking and resolution through structured QA processes, and prepare and present test results, coverage metrics and assurance evidence for internal and external reviews. Contribute to continuous improvement of verification and validation processes, tools and best practices. Candidate profile Bachelor’s or Master’s degree in Computer Science, Electrical Engineering or a related field, or equivalent experience, with a strong focus on embedded systems QA and software development and/or testing. Hands‑on experience in embedded software testing and QA, with a proven track record in delivering safety‑critical systems. Solid understanding of software development methodologies such as Agile, Continuous Integration and Test‑Driven Development. Experience with one or more CI/CD pipeline services (e.g. Jenkins, CloudBuild, AWS CodePipeline). Experience with infrastructure and automation techniques (e.g. bash, Python) and source control tools such as Git. Experience with at least one automated test framework (e.g. pytest, GoogleTest/gtest). Experience developing and executing test strategies and verification activities for safety‑critical software, including static and dynamic analysis. Strong problem‑solving, analytical and debugging skills. Excellent communication and collaboration abilities, with the ability to work effectively in cross‑functional teams. Rewards and benefits Competitive compensation package, dependent on experience. Salary sacrifice pension scheme with a 5% matched company contribution. EV car scheme and cycle‑to‑work scheme. Additional benefits to be introduced as the company grows. Candidates will have the opportunity to join a team that is enabling a future in which AI is not only intelligent but also assured, safe and trustworthy. #J-18808-Ljbffr