Muon Space

Space Systems

CameraSystemsEngineer

$165–225k ~AI est. Mountain View, California, United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Camera Systems Engineer at Muon Space. Skills: Camera systems, Infrared instruments, Electro-optical systems. Own development of camera subsystems. Generate technical specifications”

Industry & Context.

Space Systems
Problems you'll solve

Root cause analysis; Data analysis

Eligibility Requirements

Access to export controlled information

What They're Looking For.

Must Have

5+ years experience, B.S., M.S., or Ph.D. in engineering, Software skills in Python or C++, Experience with root cause analysis, Experience performing data analysis, Experience with imaging systems, Experience with infrared remote sensing instruments, Experience with precision optical and mechanical metrology equipment

Nice to Have

Experience with development of camera subsystems, Exposure to design and analysis of optical components, Experience with risk management, Experience working in cleanroom environments

What You'll Do.

Own development of camera subsystems

Generate technical specifications

Generate interface control documents

Perform trade studies

Manage vendor technical performance

Characterize subsystem performance

Perform subsystem testing

Analyze failure modes

Define camera test requirements

Define pass/fail criteria

Define test strategies

Define camera environmental qualification parameters

Define radiation testing parameters

Define thermal ESS parameters

Support subsystem testing

Support instrument-level testing

Support environmental testing

Support system characterization

Contribute to continuous improvement

Enhance efficiency in instrument development

Enhance effectiveness in instrument development

How You'll Work.

Team & Collaboration

Hardware engineering teams; Test engineering teams; Instrument systems engineers; Spacecraft systems engineers; Data scientists; AI&T teams; Production teams; Program managers

Communication Scope

Presentations; Technical communication

Process & Methodology

Program management

Full Job Description

About the role Muon seeks a Camera Systems Engineer to join our team in Mountain View, CA developing infrared remote sensing instruments. The ideal candidate is a self-motivated engineer with a versatile skill set who is comfortable working across many layers of technical depth. The person in this role will fully own the delivery of infrared camera subsystems to multiple concurrent programs. Previous experience with development of camera subsystems for integration into complex electro-optical systems in fast-paced and small-team environments is preferred. This position is hybrid and requires working on-site in our Mountain View, CA office three days per week. Responsibilities Own development of visible and thermal infrared camera subsystems including generation of technical specifications and interface control documents (ICDs), trade studies, vendor technical management, performance characterization and testing, and failure mode and root cause analysis. Define camera test requirements, pass/fail criteria, and test strategies, partnering closely with the hardware and test engineering teams to ensure infrastructure meets subsystem needs. Define parameters for camera environmental qualification campaigns, including radiation testing and thermal environmental stress screening (ESS), reviewing test data and acting as the technical authority on camera subsystem health. Support subsystem and instrument-level testing, including environmental (vibration, thermal-vacuum (TVAC) testing and system characterization/V& V. Contribute to the continuous improvement of best practices, processes, tools, and methodologies to enhance efficiency and effectiveness in instrument development. Collaborate and communicate effectively with instrument and spacecraft systems engineers, data scientists, AI&T and production teams, and program managers. Qualifications B.S., M.S., or Ph. D. in an engineering field, or equivalent experience. 5+ years of experience working in a multi-disciplinary envi

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