Design, build, and run mechanical test systems to validate structural performance and durability. Integrate and calibrate sensors, automate data collection and analysis with Python, lead CAD design in Siemens NX, perform FEA, collaborate with cross-functional teams, and deliver test reports and design feedback while supporting lab safety and continuous improvement.
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.
Do you enjoy working in a dynamic lab environment and being part of a design team that will impact the safety of service members and civilians? If so, we want your help designing the next generation aircraft at Shield AI. The Mechanical Test team’s mission is to inform Shield AI hardware design by quantifying product performance and experience with custom measurement tools, and specialized analysis.
We are seeking a highly skilled and detail-oriented Staff Mechanical Test Engineer to support the development, testing, and validation of advanced mechanical systems. The ideal candidate will have strong hands-on experience with hydraulic systems, various sensor technologies (e.g., force, pressure, strain, displacement), be proficient in python for test automation and data analysis, and demonstrate expert level proficiency in CAD tools such as NX.
What you'll do:
- Develop and execute test plans to validate mechanical performance, structural integrity, and environmental durability from start to finish.
- Design, build, and operate test fixtures and systems involving hydraulic actuation, mechanical linkages, and sensor instrumentation.
- Integrate and calibrate a range of sensors (e.g., load cells, pressure transducers, strain gauges, accelerometers) into test setups for accurate data collection.
- Create and maintain python scripts to provide automation, signal processing, and result visualization.
- Analyze test data, troubleshoot system behaviors, and generate detailed technical reports with design feedback.
- Collaborate with cross-functional teams including mechanical design, systems, and electrical engineering to define test requirements, run test campaigns and deliver high quality results.
- Lead CAD design of custom test equipment, prototypes, fixtures, and components, ensuring manufacturability and safety.
- Perform Finite Element Analysis to simulate mechanical performance, validate design assumptions, and correlate analytical results with test data.
- Work with metallic/composite materials in the design, fabrication, and testing of mechanical components, with consideration for their unique properties such as anisotropy, delamination risk, and layup configuration.
- Support lab safety protocols, equipment maintenance, and continuous improvement of test capabilities.
Required qualifications:
- Bachelor’s or Master’s degree in Mechanical Engineering or related field.
- 7-9 years of experience in mechanical testing or product development environments.
- Strong working knowledge of hydraulic systems and their control/measurement.
- Experience with sensor selection, integration, and calibration in test environments.
- Proficiency in Python for scripting, test automation, and data analysis.
- Advanced CAD skills in Siemens NX with experience designing test hardware and prototypes.
- Excellent problem-solving skills and the ability to work independently and in team settings.
Preferred qualifications:
- Hands-on experience performing MIL-STD testing (e.g., MIL-STD-810, MIL-STD-461) including vibration, shock, thermal, and EMI/EMC testing.
- Subject Matter Expert in aerospace structures and dynamics test environments.
#LI-MS1
#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
Support implementation and monitoring of FAR/DFARS/CAS compliance controls, assist policy and control documentation, participate in internal reviews and audit readiness, prepare government filings, produce compliance reports and dashboards, monitor regulatory updates, and collaborate with cross-functional teams.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead technical strategy and implementation of V-BAT fleet data analysis pipelines and tooling. Transform raw flight, simulation, and production data into metrics, dashboards, and reports; perform fleet-wide studies, anomaly investigations, and root-cause analysis; partner with cross-functional teams and mentor engineers on analysis best practices.
Top Skills:
Cloud StorageData CatalogingData LakeDatabasesJupyterMatlabPythonTelemetry SystemsTime-Series Databases
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead deployment of an AI-native digital factory: define digital architecture, deploy MES and integrations, enable AI-driven manufacturing (predictive maintenance, automated root-cause analysis, intelligent work instructions), digitize manufacturing knowledge, and drive automation and factory transformation across production, quality, maintenance, and supply chain.
Top Skills:
Advanced AnalyticsAIAutomation PlatformsDigital TwinErpFactory AutomationIndustrial ControlsMachine LearningMachine VisionManufacturing Execution SystemMesPlcsPlmPredictive MaintenanceQmsSensors
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
