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Salary: USD 115,000 - 150,000 / annual
Astranis builds advanced satellites for high orbits, serving large enterprises, sovereign governments, and the US military. With five satellites on orbit and a backlog exceeding $1 billion in commercial contracts, the company is expanding its manufacturing capabilities in Northern California.
As a Production Quality Engineer, you will play a key role in ensuring high-reliability satellite hardware meets rigorous spaceflight standards. You'll work closely with engineering and production teams to solve complex quality challenges, lead root cause investigations, and maintain the quality systems that govern how Astranis designs, builds, and tests hardware.
Key responsibilities include:
- Perform quality functions such as nonconformance resolution, first article inspection, root cause analysis, corrective actions, containments, and statistical process control
- Collaborate with design engineering teams to develop standards for part drawings, including identification of key characteristics, dimensioning, GD&T, and first article inspection plans for electro-mechanical assemblies
- Write and maintain quality management system (QMS) documentation to govern design, build, and test processes
- Perform process validation for new manufacturing processes in collaboration with production engineering
- Monitor key quality metrics such as product yield and in-process inspection results to identify trends and improvement areas
- Participate in quality reviews and audits to ensure adherence to process requirements and design intent
- Support process improvements that enhance manufacturability, reduce defects, or streamline production flow
- Contribute to the definition and enforcement of factory standards such as ESD handling and cleanliness requirements
You'll bring a Bachelor's degree in a science or engineering discipline, 3+ years of experience in quality or manufacturing engineering, and hands-on expertise with inspection techniques and GD&T principles. Basic proficiency in Python or SQL for data analysis is required. Experience with root cause analysis tools (5 Whys, Fishbone, Pareto) and strong cross-functional communication skills are essential for success in this dynamic, fast-paced environment.
Bonus qualifications include CAD/PLM/ERP experience (Solidworks, Altium, Arena), hands-on process qualification for electronics and mechanical assemblies, design documentation review, advanced SQL and Python skills, and familiarity with PFMEA, design of experiments, and statistical process control.