Design, analyze, integrate, test, and support mechanical systems for aerospace platforms across the full product lifecycle. Responsibilities include avionics packaging, harnessing, connector selection, structural design, CAD, engineering calculations, prototyping, production support, troubleshooting, and field operations. Collaborate with Manufacturing, Supply Chain, Quality, Program Management, and external suppliers to deliver reliable, buildable, and mission-ready hardware.
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Help design and deliver the mechanical systems that power advanced aerospace blue-sky platforms from concept to real-world operation. In this role, you will own hardware development across the full product lifecycle—working hands-on in CAD, analysis, and testing—while collaborating with cross-functional teams to build reliable, high-performance systems. Operating in a fast-paced environment, you’ll turn complex challenges into practical solutions and play a key role in bringing mission-ready technology to life.
- Directly contribute to the design, analysis, and integration of mechanical systems and subsystems, including avionics packaging, harnessing and connector selection, and structures.
- Own mechanical engineering deliverables across the product lifecycle - from early concept and prototyping through test, production, and field support - with a bias toward execution and delivery.
- Partner closely with Engineering functions, Manufacturing, Supply Chain, and Quality to ensure designs are buildable, testable, and reliable in real-world environments.
- Provide hands-on technical support during testing, demos, and field operations; rapidly troubleshoot and implement design fixes under tight timelines.
Required qualifications:
- Bachelor’s degree in Mechanical Engineering, or closely related field from an accredited institution.
- 5-6 years of hands-on mechanical design experience in aerospace, ground support equipment, or related ruggedized hardware systems.
- Proficiency in 3D CAD software (SolidWorks, NX, CATIA, or similar) with demonstrated ability to create detailed drawings, assemblies, and GD&T-compliant documentation
- Strong foundation in structural design, material selection, and manufacturing processes.
- Experience performing engineering calculations (stress, thermal, tolerance stack-up, fatigue, FEA as applicable) to validate design integrity
- Cross-functional collaboration experience with Manufacturing, Quality, Supply Chain, and Program Management.
Preferred qualifications:
- Root cause analysis and structured problem-solving capability to resolve mechanical failures.
- Familiarity with industry standards (ASME, ISO, ASTM, or industry-specific regulatory requirements).
- Familiarity with MIL-STD requirements and environmental qualification testing.
- Familiarity to power distribution, hydraulics, or aerospace support systems.
- Experience working with external suppliers or contract manufacturers.
#LI-AD7
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
###
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
Shield AI London, England Office
Shield AI London Office
4 More London Place, London, England, United Kingdom, SE1 2AF
Similar Jobs at Shield AI
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Develop state estimation and navigation algorithms for autonomous systems operating in GPS-denied environments. Build production-grade C++ software for embedded Linux robotic platforms, create modeling and simulation tools, and implement comprehensive testing and validation. Collaborate on roadmap planning and agile execution while improving benchmarking and performance-analysis pipelines. The role requires professional C++ expertise, state estimation algorithm experience, sensor-fusion familiarity, and the ability to deploy reliable autonomy software.
Top Skills:
Automated TestingBarometersC++CamerasCeresCi PipelinesEkfEmbedded LinuxGpsGraph-Based OptimizationGtsamImuLaser AltimetersMagnetometersMatlabOpenvinsParticle FiltersPythonSlamUkfVio
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Develop deep learning and 3D computer vision models for state estimation, visual navigation, localization, depth, correspondence, and pose estimation. Own data preparation, training, evaluation, benchmarking, and reproducible workflows. Integrate learned measurements into VIO and terrain-relative navigation systems, optimize models for onboard compute, and collaborate with deployment, software, systems, and flight-test teams to deliver production-ready Hivemind SDK components.
Top Skills:
3D Computer VisionDeep LearningDiffusion ModelsEmbedded Compute PlatformsFlow MatchingGpu ComputingModel QuantizationMulti-View GeometryOnnxPythonPyTorchSensor Data PipelinesSlamStructure From Motion (Sfm)TensorrtVisual-Inertial Odometry (Vio)
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Leads Shield AI’s Enterprise Data delivery organization, managing data engineering, analytics engineering, domain enablement, and governance teams. Translates enterprise data strategy into sequenced roadmaps, manages priorities, capacity, dependencies, risks, and stakeholder expectations, and ensures production-ready, governed data products. Partners with architecture, platform engineering, security, and business leaders on technical tradeoffs, data quality, lineage, reliability, and investment priorities. Also owns hiring, coaching, performance development, delivery metrics, and continuous improvement of the data operating model.
Top Skills:
DatabricksDatabricks SqlDatabricks WorkflowsDelta LakeLakehouse ArchitectureUnity Catalog
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
