UAV Concept Engineer

Introduction:

Saab 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 has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across eight sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training.

The Role:

Blue Bear is a leading autonomy and unmanned systems company.

We are seeking a UAV Concept Engineer to strengthen our early-stage design capability: turning requirements and CONOPS into sized, analysed and testable air vehicle concepts through rapid, iterative trade studies. This role is central to our conceptual design loop, by early exploring design trade space and rapidly iterating through geometry, aerodynamics, weights, propulsion, mission and stability.

A defining part of this role is closing the loop between analysis and reality. You will synthesise data from bench and flight testing, flight logs, telemetry and measured performance and feed it back to correct and improve our conceptual models, sizing methods and surrogates, so each design iteration is grounded in real evidence.

Working as part of the Concepts team, you will bring a proactive, collaborative approach and a passion for fast iteration, sound engineering judgement and building tools and methods that make the whole team faster.

Key Responsibilities:

• Perform aircraft conceptual sizing and constraint analysis (wing loading vs thrust/power-to-weight, weight closure, mission/energy sizing) to define feasible design points for new UAV concepts.
• Develop and morph parametric air vehicle geometry and Outer Mould Line and drive it through the analysis loop, regenerating a concept from a defined parameter set.
• Produce the core conceptual outputs each iteration: drag polars, lift curves, weight breakdowns, mission energy/endurance, static margin, trim and control authority.
• Run trade studies and design-space exploration to make optimisation and sensitivity studies fast enough to explore many designs.
• Synthesise flight-test and bench-test data (flight logs, telemetry, measured aero/propulsion performance) and use it to validate, calibrate and improve conceptual models and sizing methods.
• Select and shape propulsion system concepts and integrate them into mission and energy-network performance analysis.
• Maintain, improve and where appropriate build the concept-design toolchain and automation that underpins rapid iteration (geometry, aero, mission, surrogate and data-processing tools).
• Capture and communicate design risk, where the design is immature or sensitive and feed it into the programme risk register.