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Davis Manufacturing

Mechanical Engineer Mid-Level

Design EngineeringConfirmed live in the last 24 hours
Full-timeArvada, CO, USA$70k - $95k /yr

About the Job

Requirements

  • A bachelor's degree in Mechanical Engineering (BSME) or a related field is required.
  • At least five years of relevant professional experience in manufacturing or mechanical engineering is required.
  • Advanced proficiency in SolidWorks, including complex assemblies, design intent, and drawing generation, is required.
  • An expert understanding of geometric dimensioning and tolerancing (ASME Y14.5), including the ability to interpret and produce detailed engineering drawings, is required.
  • A strong understanding of manufacturing processes, especially multi-axis machining and turning, is required.
  • Experience with AS9100 Quality Management Systems and related documentation requirements is required.
  • The candidate must be able to organize, plan, and execute projects independently based on objectives and data.
  • The candidate must have strong communication and organizational skills to work cross-functionally and present complex findings clearly.
  • The candidate must be analytical, data-driven, pragmatic, and results-oriented.
  • The candidate must be curious and self-motivated, with a hands-on approach to learning and problem-solving.
  • U.S. citizenship or permanent residency is required.

Responsibilities

  • Develop and maintain manufacturing documentation, including process plans, dimensional inspection plans, test procedures, and detailed work instructions.
  • Create and modify routings and travelers in the company’s material requirements planning system to ensure accurate process flow and traceability.
  • Lead engineering projects from initiation through completion by defining scope, objectives, and deliverables aligned with leadership goals; collecting and organizing production and quality data; performing analytical and statistical evaluations to identify trends and improvement opportunities; developing engineering documentation; and presenting data-driven recommendations.
  • Develop and refine concept designs and 3D models for production fixtures, test equipment, and automation systems using SolidWorks.
  • Perform engineering calculations and design validation to ensure mechanical integrity, repeatability, and manufacturability.
  • Generate detailed engineering drawings and bills of materials compliant with ASME Y14.5 standards.
  • Collaborate with manufacturing and inspection teams to support manufacture, assembly, and verification activities.
  • Manage documentation and design release processes, incorporating lessons learned and revision control.
  • Design and implement Excel-based or script-driven analytical tools to support manufacturing, engineering, and business decision-making.
  • Conduct data modeling and correlation analyses to understand key relationships.
  • Prepare reports, dashboards, and visualizations to communicate findings and enable data-driven decision-making.
  • Recommend and validate process adjustments or parameter optimizations to improve efficiency, consistency, and quality.
  • Identify inefficient, redundant, or high-variation processes in manufacturing, inspection, or support operations.
  • Develop controlled test plans or experiments using design of experiments (DOE) to evaluate alternative methods, tooling, or technologies.
  • Drive implementation of validated improvements through updated documentation, training, and production rollout.
  • Support continuous improvement and lean manufacturing initiatives by developing repeatable frameworks for data collection and performance tracking.

Desired Qualifications

  • Prior experience in aerospace or defense manufacturing is preferred.
  • Siemens NX computer-aided design/computer-aided manufacturing experience is preferred.
  • Familiarity with process optimization, lean manufacturing, or statistical analysis tools is preferred.
  • Experience with Python, Visual Basic for Applications, or Excel-based automation for data analysis and engineering calculations is preferred.
  • Prior experience with product data management or product lifecycle management systems and their associated methodology is preferred.

About the Company

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