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Manufacturing Engineer (R3006)

Introduction to Shield AI

Founded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems. In pursuit of this mission, Shield AI is building the world’s best AI pilot. Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova). The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI’s products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies. 


Job Description:

The Manufacturing Engineer will play a key role in the development and optimization of manufacturing processes for aerospace components. This position focuses on improving efficiency, ensuring high-quality production standards, and solving complex manufacturing challenges in a fast-paced startup environment. The engineer will work closely with cross-functional teams, including design, production, and quality, to streamline operations, reduce costs, and ensure timely delivery of products. This role is critical to supporting the scaling of manufacturing as the company grows.


What You'll Do:
  • Develop, implement, and optimize manufacturing processes for aerospace components.
  • Identify areas for efficiency improvements and cost reductions in production.
  • Collaborate with design and production teams to ensure manufacturability of new products.
  • Troubleshoot and resolve manufacturing issues to minimize downtime and improve quality.
  • Drive continuous improvement initiatives to enhance production performance and ensure scalability.


Required Qualifications:
  • Bachelor's degree in Manufacturing Engineering, Mechanical Engineering, or a related field.
  • 3+ years of experience in manufacturing engineering, preferably in aerospace or a related industry.
  • Experience with combustion engines
  • Strong knowledge of manufacturing processes, materials, and quality control techniques.
  • Excellent problem-solving skills and the ability to troubleshoot complex production issues.
  • Experience with lean manufacturing principles and continuous improvement methodologies.


Preferred Qualifications
  • Experience with composite materials and advanced manufacturing techniques.
  • Proficiency in CAD software and manufacturing simulation tools.
  • Familiarity with ERP/MES systems and data analysis for process optimization.


$145,710 - $231,761 a year

#LI-JM1

#LF  


Total package details for U.S. based positions:

- Regular employee positions: Salary within range listed above + Bonus + Benefits + Equity

- Temporary employee positions: Hourly within range listed above + temporary benefits package (applicable after 60 days

of employment)

- Interns/Military Fellows/Part-time not eligible for bonus, benefits or equity


Total package details for International based positions (where applicable):

- International premium, hardship differential, cost of living differential, living quarters allowance, foreign service transfer

allowance, equity, international benefits, visa assistance, and relocation assistance.


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.


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. 

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CEO of Shield AI
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Ryan Tseng
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Average salary estimate

$188735.5 / YEARLY (est.)
min
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$145710K
$231761K

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What You Should Know About Manufacturing Engineer (R3006), Shield AI

Have you ever dreamed of being at the forefront of defense technology? As a Manufacturing Engineer at Shield AI, located in the vibrant Dallas Metro Area, you will be part of a dynamic team striving to create the world’s best AI pilot. Shield AI is on a mission to protect service members and civilians with intelligent systems and is renowned for its groundbreaking work in aerospace technology. In this role, your expertise will be vital as you develop and optimize manufacturing processes for various aerospace components. You will work alongside talented individuals from design, production, and quality backgrounds to tackle complex manufacturing challenges head-on. Think of it as solving puzzles in a fast-paced startup environment where your innovative ideas can truly shine. You will identify areas where efficiency can be improved and costs reduced, ensuring that production not only meets but exceeds high-quality standards. Whether you’re troubleshooting issues to minimize downtime or driving continuous improvement initiatives, you’ll play a key role in the scaling of manufacturing as Shield AI grows. With competitive compensation, a supportive environment, and opportunities to make a real impact, your journey in aerospace starts here at Shield AI. Join us, and let’s build the future together.

Frequently Asked Questions (FAQs) for Manufacturing Engineer (R3006) Role at Shield AI
What does a Manufacturing Engineer do at Shield AI?

At Shield AI, a Manufacturing Engineer is crucial for developing and optimizing manufacturing processes for aerospace components. This role involves collaborating with cross-functional teams to ensure efficiency and quality in production, troubleshooting manufacturing issues, and driving continuous improvement initiatives.

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What qualifications are required for the Manufacturing Engineer position at Shield AI?

To be considered for the Manufacturing Engineer position at Shield AI, candidates should have a Bachelor’s degree in Manufacturing Engineering, Mechanical Engineering, or a related field, along with over three years of experience in manufacturing engineering, especially in aerospace.

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What is the salary range for the Manufacturing Engineer role at Shield AI?

The salary for a Manufacturing Engineer at Shield AI varies from $145,710 to $231,761 per year, based on factors like experience, skill set, and specific work location, ensuring competitive compensation in the industry.

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What are the preferred qualifications for the Manufacturing Engineer position at Shield AI?

Preferred qualifications for the Manufacturing Engineer role at Shield AI include experience with composite materials and advanced manufacturing techniques, proficiency in CAD software, and familiarity with ERP/MES systems for process optimization.

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How does Shield AI support employee development for Manufacturing Engineers?

Shield AI is committed to the growth of its Manufacturing Engineers through continuous learning opportunities and hands-on experience. Employees can engage in training programs, workshops, and mentorship initiatives to enhance their skills and advance their careers.

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What does the work environment look like for Manufacturing Engineers at Shield AI?

The work environment for Manufacturing Engineers at Shield AI is dynamic and collaborative, focusing on innovation and problem-solving in a fast-paced aerospace setting. Engineers work closely with design and production teams in a supportive atmosphere that encourages creativity and efficiency.

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What benefits does Shield AI offer to Manufacturing Engineers?

Manufacturing Engineers at Shield AI enjoy a comprehensive benefits package that includes competitive salary, bonuses, equity options, and a range of benefits such as health insurance, retirement plans, and potential relocation assistance depending on position.

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Common Interview Questions for Manufacturing Engineer (R3006)
Can you describe your experience with manufacturing processes relevant to aerospace?

When answering this question, candidates should highlight specific manufacturing techniques they have mastered, discuss relevant projects they've worked on, and outline how they can apply that experience to enhance production quality and efficiency at Shield AI.

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How do you approach problem-solving in complex manufacturing situations?

In responding to this question, candidates should demonstrate their systematic approach to problem-solving, emphasizing analytical thinking, collaboration with team members, and practical examples of how they resolved issues in previous roles.

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What role do continuous improvement methodologies play in your engineering practices?

Candidates should discuss their familiarity with lean manufacturing principles and continuous improvement initiatives, providing examples of how they have successfully implemented these practices to optimize production processes in their previous positions.

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Describe a time you collaborated successfully with cross-functional teams.

To effectively answer this question, candidates should focus on a specific project where teamwork was key, detailing their contribution and how collaboration led to achieving production goals or overcoming challenges.

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How do you ensure quality control in manufacturing processes?

Candidates should explain the quality control techniques they are familiar with, emphasizing their attention to detail and examples of how they have implemented control measures to maintain high production standards.

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What experience do you have with CAD software and manufacturing simulation tools?

In answering this, candidates should highlight their proficiency with specific CAD software, explaining how they have utilized these tools in designing parts or analyzing manufacturing processes during their career.

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How do you handle unexpected manufacturing challenges?

Candidates should provide an example demonstrating their ability to adapt quickly, their critical thinking skills, and how their proactive measures have minimized disruptions in production.

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What improvements would you suggest for our current manufacturing processes?

While preparing for this question, candidates should do their research on Shield AI’s processes and be ready to share insightful, constructive feedback based on their previous engineering experience, articulating specific ideas for enhancements.

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How familiar are you with ERP/MES systems?

Candidates should indicate their experience with relevant ERP/MES systems, discussing how they've used data analysis in these platforms for process optimization and effective production management.

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Why do you want to work as a Manufacturing Engineer at Shield AI?

An effective answer should convey a genuine enthusiasm for working at Shield AI, tying personal values with the company’s mission, and expressing interest in contributing to innovative defense technologies that protect service members and civilians.

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Our mission is to protect service members and civilians with intelligent systems.

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Full-time, on-site
DATE POSTED
November 26, 2024

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