Senior Electro-Mechanical Test & Validation Engineer

Synstack Technologies; Sunnyvale (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Synstack Technologies is seeking an experienced electro-mechanical engineer to lead mechanical verification and validation across multiple systems. You will collaborate with researchers, architects, and product design teams to define tests, build fixtures, and analyze results.

You will own test plans, drive scalable infrastructure, and work on FMEA, tolerance analysis, and reliability efforts, coordinating with process and manufacturing teams. Strong Python and data-analysis skills are essential.

Qualifications

• Bachelor's degree in Mechanical Engineering or related field or equivalent experience.
• 8+ years in electro-mechanical engineering with verification/reliability testing.
• Experience authoring and executing mechanical validation plans with acceptance criteria.
• Hands-on with test fixtures, sensor selection, and calibration.

Responsibilities

• Define mechanical verification methodologies with researchers, architects and design teams.
• Perform verification of thermal, vibration, mechanical stress testing, etc.
• Define and track detailed test plans for modules and systems.
• Design and drive scalable test infrastructure and fixtures.
• Manage coverage metrics, bugs, and resolutions.
• Own execution and reporting of system-level verification and validation.

Skills

Python for test automation

DOE & statistics

V&V of electro-mechanical systems

GD&T & metrology

Data analysis with NumPy/pandas

Education

Bachelor's degree in Mechanical/Electro-Mechanical Engineering

Tools

CMM

DAQ hardware

3D scanning equipment

Sensor calibration equipment

Job description

Synstack Technologies is seeking an experienced electro-mechanical engineer to lead mechanical verification and validation across multiple systems. You will collaborate with researchers, architects, and product design teams to define tests, build fixtures, and analyze results.

You will own test plans, drive scalable infrastructure, and work on FMEA, tolerance analysis, and reliability efforts, coordinating with process and manufacturing teams. Strong Python and data-analysis skills are essential.