Reliability Engineer (Python/MATLAB Data Analysis)

Reliability Engineer (Python/MATLAB Data Analysis)
We are seeking a Reliability Engineer with strong programming and data analysis capabilities to support hardware validation, modeling, and automation efforts. In this role, you will work closely with cross-functional hardware, reliability, and software teams to drive data-driven insights, automate test systems, and improve product durability through advanced statistical modeling. This position requires hands-on experience in reliability testing, coding in scientific computing environments, and a strong engineering foundation.
Responsibilities
Develop and execute reliability test plans; analyze results using Python and/or MATLAB
Automate testing procedures and build tools to detect failure patterns and performance degradation
Translate engineering models into robust and reusable code for hardware reliability evaluation
Collaborate with hardware, firmware, and quality teams to integrate test data into design cycles
Research failure mechanisms and model reliability trends across multiple product lines
Build internal tools and dashboards for test data visualization and reporting
Generate clear documentation and recommendations based on data insights
Required Skills & Experience
3+ years of experience in reliability engineering or hardware validation
Strong proficiency in MATLAB and/or Python (scientific and data processing libraries)
Experience with automation and scripting for reliability test environments
Understanding of embedded systems, hardware interfaces, and test instrumentation
Knowledge of statistical analysis and modeling of failure data
Strong problem-solving, communication, and collaboration skills
Background in Mechanical or Materials Engineering; MS/PhD preferred
Education
BS or higher in Mechanical Engineering, Materials Science, Electrical Engineering, or related field (MS/PhD preferred)
Type: Full-Time
Location: Remote (PST or CST time zones preferrable)
Pay Rate Range: $60-75/H (DOE)