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Job Description
Location: Edinburgh – Hybrid (3 Days On-Site)\nContract Type: Full-time, Permanent\nSalary: £80,000 - £90,000\n\nAbout the Role\n\nWe are seeking an experienced Engineering Manager to lead a talented team within the System Performance function. This team plays a critical role in optimising the software that powers autonomous vehicles, ensuring high performance, reliability, and scalability. You will own performance tooling, frameworks, and metrics collection, driving improvements across on-vehicle systems and offline tooling to enhance overall efficiency.\n\nKey Responsibilities\n\n * Lead and mentor a high-performing team of software engineers, providing technical direction and career development support.\n\n * Own and evolve system performance tooling, frameworks, and processes to reduce latency and improve system behaviour.\n\n * Drive software upgrades and implement changes to base frameworks for enhanced performance.\n\n * Develop code tools for performance inspection, alerting, and diagnostics.\n\n * Conduct compute benchmarking and performance studies to inform design decisions.\n\n * Define and maintain the technical roadmap, aligning priorities with stakeholders and internal teams.\n\n * Ensure fault-tolerant software solutions with robust diagnostic capabilities for rapid issue resolution.\n\n * Communicate effectively with leadership and cross-functional teams to manage expectations and remove delivery roadblocks.\n\nWhat We’re Looking For:\n\n * Proven leadership experience managing software development teams, ideally in complex or embedded systems environments.\n\n * Strong hands-on programming experience in C++ or Rust.\n\n * Expertise in Linux profiling tools (e.g., perf, valgrind, pprof, strace, ftrace).\n\n * Technical leadership in profiling, diagnostics, and tuning system performance.\n\n * Excellent communication and collaboration skills.\n\n * Ability to translate business objectives into a clear technical vision and roadmap.\n\n * Degree in Computer Science, Electrical Engineering, or equivalent experience.\n\nNice to Have:\n\n * Experience with QNX or similar real-time operating systems.\n\n * Familiarity with middleware frameworks (e.g., ROS2, DDS, Apex.ai).\n\n * Background in robotics, autonomous systems, or edge computing.\n\n * Automotive software development experience (e.g., DriveOS)
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