Staff Systems Engineer - Plasma-Based Sensing Platform

Activate; San Leandro (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

SirenOpt is seeking a Staff Systems Engineer to define, integrate, and validate our plasma-based sensing platform for deployment in advanced manufacturing environments. You will shape system-level behavior and ensure coherence across hardware, software, and experiments while building a scalable technical foundation for the company.

This role emphasizes documenting experiments, designs, interfaces, and decisions with traceability, and requires close collaboration with cross-functional teams to

Qualifications

• 7+ years of hands-on systems engineering experience.
• Experience developing automated metrology, inspection, or diagnostic systems.
• Proficiency with data analysis and modeling tools.

Responsibilities

• Define and own system-level architecture, integration, and validation.
• Guide decisions through experimentation, data analysis, and cross-disciplinary evaluation.
• Lead investigations to resolve complex performance issues with structured experiments.
• Document experiments, designs, interfaces, and decisions for traceability.
• Collaborate with mechanical, electrical, and software teams to ensure seamless integration.
• Support on-site installation and validation at customer sites as needed.

Skills

Cross-disciplinary collaboration

Data-driven analysis

Technical communication

Education

Bachelor's or higher in Engineering or Physics

MS in Engineering or Physics

PhD in Engineering or Physics

Tools

Python

MATLAB

C

LabVIEW

Job description

SirenOpt is seeking a Staff Systems Engineer to define, integrate, and validate our plasma-based sensing platform for deployment in advanced manufacturing environments. You will shape system-level behavior and ensure coherence across hardware, software, and experiments while building a scalable technical foundation for the company.

This role emphasizes documenting experiments, designs, interfaces, and decisions with traceability, and requires close collaboration with cross-functional teams to