Senior Automation Engineer, Hardware Subsystems (Python)

PSI Quantum; Milpitas (CA); Presencial; USD 201.000 - 237.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health coverage

401(k) with company match

Equity grants

Descripción de la vacante

PsiQuantum seeks a senior automation engineer to design and maintain high-level Python control software for photonic, optical, electronic, and electro-optic subsystems, including large laser systems. You will translate real hardware workflows into reusable automation routines within the System Automation framework.

Work with design leads and end users to understand workflows, constraints, and failure modes, then deliver robust APIs, examples, and tests to accelerate bring-up, calibration,

Formación

• BS/MS/PhD in Computer Science, Computer Engineering, Electrical Engineering or Physics or related technical discipline.
• Strong Python software engineering skills, including readable, tested, maintainable code.
• Experience building APIs, automation workflows, instrument-control or hardware-control software.

Responsabilidades

• Design subsystem control abstractions to simplify hardware operation within the System Automation framework.
• Develop reusable Python APIs, functions, and automation routines implementing subsystem functionality and workflows.
• Own code quality: readability, testing, documentation, maintainability, and alignment with framework patterns.

Conocimientos

Python

APIs

Automation

Hardware-control

Cross-functional communication

Educación

B.S./M.S./Ph.D. in Computer Science/Computer Engineering/Electrical Engineering/Physics

Descripción del empleo

PsiQuantum seeks a senior automation engineer to design and maintain high-level Python control software for photonic, optical, electronic, and electro-optic subsystems, including large laser systems. You will translate real hardware workflows into reusable automation routines within the System Automation framework.

Work with design leads and end users to understand workflows, constraints, and failure modes, then deliver robust APIs, examples, and tests to accelerate bring-up, calibration,