Shield AI
Staff Engineer, Electromechanical Systems Advance Manufacturing (R5184)
Be an Early Applicant
Leads manufacturing engineering for electromechanical aerospace and defense assemblies, including actuators, motors, hydraulics, pneumatics, pumps, and motion-control systems. Develops processes, tooling, work instructions, inspection methods, and production controls; leads DFM/DFA, root-cause investigations, corrective actions, supplier qualification, process validation, and production readiness. Partners across design, quality, supply chain, production, and test engineering to improve manufacturability, reliability, and integration, while mentoring junior engineers.
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.
We are seeking a Staff Electromechanical Systems Advance Manufacturing Engineer to support the manufacturing and integration of complex motion-control and mechanically actuated systems across advanced aerospace and defense platforms. This role focuses on electromechanical assemblies involving actuators, hydraulics, pneumatics, motors, pumps, and integrated mechanical/electrical subsystems.
The ideal candidate thrives in fast-paced production environments and has experience developing robust manufacturing processes for highly integrated systems.
What you'll do:
- Lead manufacturing engineering efforts for electromechanical subsystems and assemblies
- Develop and optimize manufacturing processes, tooling, work instructions, and production flows for:
- Actuators
- Motors and drives
- Hydraulic systems
- Pneumatic systems
- Pumps and fluid systems
- Powertrain components
- Motion-control assemblies
- Partner with design engineering to improve manufacturability, reliability, testability, and producibility
- Drive root cause investigations and corrective actions for electromechanical manufacturing issues
- Develop work instructions, quality standards, and inspection methods
- Support supplier qualification, process validation, and production readiness reviews
- Lead DFM/DFA reviews and transition new products into manufacturing
- Support system integration, validation, and troubleshooting activities
- Define manufacturing standards, process controls, and acceptance criteria
- Support failure analysis and reliability improvement initiatives
- Collaborate with production, quality, supply chain, and test engineering teams
- Mentor junior manufacturing engineers
Tools & skills:
- MES & QMS systems
- 3DEXPERIENCE / Teamcenter (PLM) systems
- Supplier manufacturing processes
- 5S/visual management
- Standard Operating Procedures (SOPs)
Required qualifications:
- 7+ years of manufacturing engineering experience in experience in electromechanical systems
- Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, Mechatronics, or related field
- Experience in prototype manufacturing in a startup or rapid-growth environment.
- Experience with:
- Actuators and motion systems
- Hydraulics and pneumatics
- Mechanical/electrical integration
- Precision mechanical assemblies
- Demonstrated ability to work in a fast-paced, high-pressure environment and adapt to changing priorities.
- Knowledge of manufacturing process development and production scaling
- Strong understanding of DFM/DFA principles
- Experience with root cause analysis and corrective action methodologies
Preferred qualifications:
- Aerospace, defense, robotics, or automotive industry experience
- Experience with servo systems and motor control assemblies
- Knowledge of GD&T and mechanical inspection methods
- Familiarity with lean manufacturing and production optimization
- Experience with ERP/MES systems and manufacturing data analysis
- Strong project management skills, including experience managing multiple priorities and deadlines
- Knowledge of quality standards, such as AS9100 or ISO 9001
- Proficiency in CAD software
#LI-JM1
#LD
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.
Similar Jobs at Shield AI
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Leads the design, modeling, simulation, testing, validation, and integration of fluid and thermal systems for autonomous aircraft and ground platforms. The role applies first-principles engineering, develops system and custom models, manages suppliers, supports component sourcing, and mentors engineers. It requires deep expertise in heat transfer, fluid dynamics, thermodynamics, thermal management, testing, CAD, and aerospace or defense system development.
Top Skills:
3D CadAmesimExcelMatlabMatlab SimscapePythonSiemens Nx
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Leads execution of an autonomous aircraft demonstration program across engineering, integration, flight test, manufacturing, and operations teams. Coordinates technical planning, subsystem integration, risk mitigation, readiness activities, technical reviews, testing, and executive reporting. Requires deep aerospace or unmanned systems experience and strong systems integration and program leadership skills.
Top Skills:
AerodynamicsAutonomy SoftwareAvionicsConfiguration ManagementFlight ControlsFlight TestingModel-Based Systems Engineering (Mbse)Requirements ManagementUnmanned Aircraft SystemsVehicle IntegrationVtol
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Supports system-level safety engineering for the X-BAT aircraft platform by deriving and validating safety requirements, conducting hazard analyses, maintaining hazard tracking systems, developing certification evidence, and verifying mitigations. Collaborates with systems engineering, cybersecurity, airworthiness, responsible engineers, and DoD representatives on safety documentation, design reviews, risk assessments, mishap investigations, and readiness reviews.
Top Skills:
Arp-4761CybersecurityFmeaFtaHazard Tracking SystemsMil-Std-882PhaRequirements ManagementSsaStanagStpa
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
