San Fransisco, California, United States
$110-130k
Full Time
a month ago
Job description
Astranis is on a mission to bridge the digital divide by connecting the four billion people worldwide who currently lack internet access. We're doing this by building the next generation of smaller, more cost-effective spacecraft to bring the world online.
As a team, we’ve launched two satellites into orbit, signed ten commercial deals worth over $1 billion in revenue, raised over $500 million from top global investors, and recruited a team of over 300 world-class engineers. We all work out of our (legendary) San Francisco office, which was once used to build ships during the World Wars.
Our satellites, which operate from geostationary orbit (GEO), weigh only 400 kg and utilize a proprietary software-defined radio payload. Each satellite can connect over two million people, and we’re very excited for the impact we’ll soon have in the Philippines, Peru, Mexico, and more!
Backed by substantial funding and a passionate, collaborative team, we offer a rewarding work environment where you'll learn and make a significant impact, no matter where you are in your career.
Apply and join us on our journey towards global connectivity!
Production Quality Engineer
As a Production Quality Engineer, you will be tasked with the unique challenge to create a quality management system and robust processes to implement it. As Astranis scales up production of its satellites, we need to build new business processes, systems, and controls to ensure our hardware meets the highest level of quality and reliability. The ideal candidate has extensive quality engineering experience working on high-reliability products, is self-driven and autonomous, and has a demonstrated track record of solving hard problems in a dynamic environment.
Role
- Perform and support quality functions such as nonconformance resolution, first article inspection, root cause analysis, corrective actions, containments, statistical process control, etc.
- Write and maintain quality management system (QMS) command media documents to govern how we design, build, and test hardware.
- Work with design engineering teams to develop standards for part drawings, including identification of key characteristics, dimensioning and GD&T, and first article inspection plans.
- Develop a process validation framework for qualifying new manufacturing processes, and work with production engineering teams to implement.
- Create metrics and tools to monitor the success of products and processes in production, including product yield and statistical process control (SPC).
- Create a system for tracking calibrated metrology in the factory.
- Conduct regular build quality reviews to ensure that design intent is achieved and well-communicated.
- Define electrostatic discharge (ESD) and cleanliness requirements and control processes in the factory.
- Assist production and engineering leadership teams by identifying opportunities for risk reduction and removal of complexity in designs and processes to improve manufacturability.
Requirements
- Bachelor’s of Science in Mechanical Engineering, Electrical Engineering, or equivalent technical degree.
- 2+ years in a manufacturing or quality engineering role
Bonus
- Familiarity with implementing QMS standards such as AS9100 and ISO9001.
- Hands-on experience qualifying and maintaining manufacturing processes for electronics and/or mechanical assemblies.
- Experience reviewing design documentation and implementing first-article inspection plans.
- Strong SQL and Python skills, and demonstrated ability to manage large data sets and create useful tools/dashboards/reports for others.
- Demonstrated application of process validation and control methods such as PFMEA, design of experiments (DOE), and statistical process control (SPC).
- Ability to use common CAD, PLM, and ERP systems such as Solidworks, Altium, and Arena.
- Excellent communication skills, written and verbal. Ability to produce executive-level reports and presentations to efficiently convey information about large data sets.
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