Senior Hardware Reliability Engineer

The role

You will own the development and execution of reliability strategies for spacecraft. You will define requirements, build modeling techniques, and drive testing programs to mitigate risks.

What you will do

• Own development and maintenance of top-level reliability requirements, models, and allocations
• Define and drive HALT/HASS strategies, accelerated testing plans, and reliability growth programs
• Establish and evolve reliability modelling frameworks including Weibull analysis, Monte Carlo simulations, and PRA
• Integrate reliability analyses with program risk management
• Flow down reliability requirements to subsystems
• Lead root cause investigations on critical hardware failures
• Collaborate with design, systems, test, and manufacturing teams
• Mentor junior engineers on reliability methods and analysis techniques

Required qualifications

• B.S. degree in mechanical engineering, aerospace engineering, electrical engineering, materials science, or other related discipline
• 5+ years of experience in reliability engineering, hardware testing, failure analysis, or related fields in the space, automotive, semiconductor, or other high-reliability industries
• Must be a U.S. person as defined by 22 C.F.R. § 120.15 or otherwise eligible for a federally issued export control license

Nice to have

• M.S. or PhD in mechanical engineering, electrical engineering, chemical engineering, materials science, or other related discipline
• Experience developing and executing life testing methods, including accelerated life testing (ALT) and reliability growth programs
• Experience with thermal, vibration, and TVAC qualification and acceptance testing approaches
• Experience with EEE components, including semiconductor devices and packaging technologies, in high-reliability or space applications
• Experience building reliability prediction models (Weibull, Monte Carlo, reliability block diagrams) and performing system-level analyses (FTA, PRA)
• Strong foundation in statistical modeling and data analysis
• Interest in or exposure to machine learning techniques is a plus
• Proficiency in programming languages (such as Python or C++) for data analysis, statistical modeling, and reliability calculations
• Familiarity with derating practices, Design for Excellence (DFX), and requirements flow-down in complex hardware systems
• Experience with Physics of Failure (PoF) methodologies and identification of dominant failure mechanisms in electronic hardware and EEE components

Benefits

• Paid time off
• Medical/dental/vision coverage
• Life insurance
• Paid parental leave
• Many other perks

Before you apply

• Must be a U.S. person or otherwise eligible for a federally issued export control license

About the company

K2 is building the largest and highest-power satellites ever flown. They are mass-producing high-power satellite platforms for missions from LEO to deep space.