Allen Control Systems
Manufacturing Engineer - 2nd Shift
About this role
Allen Control Systems, a defense startup developing autonomous targeting systems, seeks a Manufacturing Engineer to design and optimize production processes for robotic systems on a 2nd shift schedule. The role focuses on process optimization, equipment integration, quality control, and continuous improvement in a fast-paced engineering environment.
What you'll do
- Design and optimize manufacturing processes including workflow layouts, assembly methods, and automation integration
- Perform root cause analysis and implement corrective/preventive actions using 8D and Fishbone methodologies
- Conduct process capability studies, FMEA, and Gauge R&R validation
- Manage CNC machines, test fixtures, and automated assembly line setup and maintenance
- Track KPIs such as OEE, throughput, and scrap rates; support lean and Six Sigma initiatives
- Evaluate vendor performance and develop incoming material protocols
What they're looking for
- CAD/CAM and process simulation software
- Statistical process control and data analysis (Minitab, SPC)
- Root cause analysis methodologies
- Lean manufacturing and Six Sigma
- Equipment integration and metrology
- Design for Manufacturability (DFM) principles
- Quality standards (ISO 9001, AS9100)
- Project management and problem-solving
Benefits
- Competitive salary
- Equity package
- Health, dental, and vision insurance
- Paid time off
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Allen Control Systems
Allen Control Systems builds autonomous defense systems and robotics platforms, developing real-time simulations, control software, and integrated hardware solutions. The company is hiring software engineers, systems integrators, field operations specialists, and quality engineers to support the development and deployment of next-generation autonomous defense technology.
View all jobs at Allen Control SystemsLikely interview questions
- Can you walk us through a specific manufacturing process you designed or optimized? What tools or methodologies did you use to identify bottlenecks and improve cycle time or yield?
- Describe your experience with root cause analysis. Walk us through an example where you used 8D or Fishbone diagrams to solve a production problem—what was the issue and how did you implement the fix?