Drive supplier development for electronic assemblies (PCBA/SMT): audit processes, resolve manufacturing defects, perform root-cause analysis and corrective actions, enforce IPC/J-STD standards, support NPI, monitor supplier performance, and mitigate supply chain risk with frequent supplier travel.
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.
Job Description:
We are seeking a highly skilled and motivated Supplier Development Engineer to join Shield AI, focusing on electrical components/PCBA. The ideal candidate will have a strong background in supplier development, quality engineering, production process improvement, and supply chain management within the aerospace industry. This role is critical in enhancing supplier performance by solving supplier challenges that impact quality/on-time delivery/scaling, supporting the onboarding of suppliers to new designs, and delivering on our mission to deliver affordable and autonomous mass at scale.
What You'll Do:
- Process Improvement: Audit and embed into core supplier processes to understand improvement opportunities to cost, lead-times, and quality
- Identify and resolve manufacturing defects, process inefficiencies, and quality issues in SMT assembly, such as solder paste application, component placement, reflow soldering, and automated optical inspection (AOI)
- Conduct root cause analysis and implement corrective actions for production failures, utilizing tools like PFMEA
- Ensure adherence to industry standards (IPC-A-610, J-STD-001)
- Quality Assurance: Conduct on-site audits to root cause supplier quality issues or performance challenges
- Supplier Development: Assess and improve supplier capabilities, ensuring alignment with engineering and operational priorities.
- Engineering Technical Support: Provide technical guidance to suppliers on part specifications, manufacturing processes and standards, and quality measures
- Supplier Performance Monitoring: Track and analyze supplier performance metrics, including delivery, quality, and cost. Implement corrective actions and continuous improvement plans as necessary.
- Risk Management: Identify and mitigate risks within the supply chain to ensure uninterrupted production and delivery of components
- New Product Introduction (NPI): Support the introduction of new products by ensuring suppliers meet all quality and delivery requirements during the development phase
Required Qualifications:
- Hands on experience with SMT (Surface Mount Technology) and PCBA
- Knowledge of industry standards (IPC-A-610, J-STD-001)
- ability to analyze PCBA drawing and critical features on electronic assemblies
- Ability to travel to domestic and international suppliers ~50%+ of time
Preferred Qualifications:
- M.S. degree in Electrical Engineering, Aerospace Engineering, or equivalent.
- Problem solving skills including root cause investigation and failure analysis
- Leadership experience on a cross-functional project team (e.g., engineering, supply chain, production)
#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
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 NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
