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Location: Edinburgh – Hybrid (3 Days On-Site)
Contract Type: Full-time, Permanent
Salary: £80,000 - £90,000

About the Role

We 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.

Key Responsibilities

* Lead and mentor a high-performing team of software engineers, providing technical direction and career development support.

* Own and evolve system performance tooling, frameworks, and processes to reduce latency and improve system behaviour.

* Drive software upgrades and implement changes to base frameworks for enhanced performance.

* Develop code generation tools for performance inspection, alerting, and diagnostics.

* Conduct compute benchmarking and performance studies to inform design decisions.

* Define and maintain the technical roadmap, aligning priorities with stakeholders and internal teams.

* Ensure fault-tolerant software solutions with robust diagnostic capabilities for rapid issue resolution.

* Communicate effectively with leadership and cross-functional teams to manage expectations and remove delivery roadblocks.

What We’re Looking For:

* Proven leadership experience managing software development teams, ideally in complex or embedded systems environments.

* Strong hands-on programming experience in C++ or Rust.

* Expertise in Linux profiling tools (e.g., perf, valgrind, pprof, strace, ftrace).

* Technical leadership in profiling, diagnostics, and tuning system performance.

* Excellent communication and collaboration skills.

* Ability to translate business objectives into a clear technical vision and roadmap.

* Degree in Computer Science, Electrical Engineering, or equivalent experience.

Nice to Have:

* Experience with QNX or similar real-time operating systems.

* Familiarity with middleware frameworks (e.g., ROS2, DDS, Apex.ai).

* Background in robotics, autonomous systems, or edge computing.

* Automotive software development experience (e.g., DriveOS)