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Shield AI

a16z portfolio company

Staff Engineer, Advanced Manufacturing (R4968)

Location
Seattle, Washington
Work arrangement
On-site
Job type
Full-time
Compensation
USD 155,000–230,000

About the role

Posted Oct 5, 2026

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:
As the Staff Advance Manufacturing Engineer, you’ll take ownership of critical manufacturing processes across multiple programs, leading initiatives to increase throughput, reduce costs, and scale our operations. You’ll be instrumental in building out the infrastructure for a new production line supporting a next-generation jet, including selecting and deploying capital equipment, implementing hardware and software tools, and establishing robust production systems. Working across engineering, supply chain, and production, you’ll ensure smooth integration of new technologies and provide mentorship to other engineers. This role is ideal for someone who thrives on cross-functional impact, technical leadership, and factory-scale execution.

 

 

What you'll do:

  • Define the Bill of Process and manufacturing sequence for assigned subassemblies or cells. 
  • Map MBOM to operations, tooling needs, and process controls. 
  • Build ergonomic workstations (height/reach zones, shadow boards, calibrated torque tools, ESD controls, POU materials). 
  • Create visual, operator-ready Work Instructions with torque specs, PPE, inspection points, and MES revision control. 
  • Conduct time studies, compute takt/CT, identify bottlenecks, and lead kaizen improvements. 
  • Establish standardized work, visual controls, job aids, and layered audit systems; iterate with operators. 
  • Capture shop-floor lessons learned defects, build issues, tooling feedback and drive root cause and corrective action. 
  • Partner with Quality on in-process checks, error-proofing, and FAI readiness. 
  • Implement ECOs, validate process updates, and maintain work instructions accordingly. 
  • Tools & Skills: MES/QMS systems, torque analyzers, Minitab/Excel (SPC, capability, DOE), lean/5S, PFMEA, ergonomic assessment tools, Control Plans, Standard Operating Procedures. 

Required qualifications:

  • 7+ years of experience in manufacturing engineering, production systems, process development, or assembly engineering. 
  • Bachelor’s degree in Mechanical, Industrial, Mechatronics, or related STEM field. 
  • Experience in prototype manufacturing in a startup or rapid-growth environment. 
  • Strong understanding of manufacturing processes, including machining, composites, avionics and/or assembly. 
  • Demonstrated ability to work in a fast-paced, high-pressure environment and adapt to changing priorities. 

Preferred qualifications:

  • Knowledge of quality standards, such as AS9100 or ISO 9001. 
  • Proficiency in CAD software 
  • Familiarity with advanced manufacturing technologies, such as additive manufacturing or automation systems. 
  • Hands-on experience with manufacturing equipment and tooling design. 
  • Strong project management skills, including experience managing multiple priorities and deadlines. 
*Compensation for this role is based on the position’s work location. The salary range shown reflects the listed location and may vary if the position is based in a different geographic market. Actual compensation will also consider factors such as experience, skills, qualifications, and internal equity. 
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.
 
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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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At a glance

Location
Seattle, Washington
Workplace
On-site
Employment
Full-time
Team
Aircraft Operations Division
Compensation
USD 155,000–230,000
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The company

Shield AI

Shield AI

Shield AI's mission is to protect service members and innocent civilians with artificially intelligent systems. Our initial focus is on the last several miles of the battlefield where we lack capability to collect intelligence. This area is beyond the view of high altitude sensors, too dangerous for people, and too complex for robots to navigate. Consequently, service members are asked to make life altering decisions with limited information. Mistakes are made that cost lives and incur massive collateral damage. Such mistakes cause the United States to lose support of local populations and make conflict unwinnable. This problem is widely recognized throughout the DoD, including the most senior leadership. To address this problem, we are building swarms of small intelligent robots to collect the critical missing information. The systems will scour indoor and outdoor spaces in search of threats and innocent people. They will be deployed by people, trucks, ships, aircraft, and other robots. These robots will become more numerous in combat areas than soldiers. Synthesized information will be presented to service members who will be empowered to make decisions leading to intended outcomes without collateral damage. Conflict becomes less brutal.

Series G

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1,000–5,000 employees
AI
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