Software Engineer

Job Title: Software Engineer

Location: Redmond, WA - Onsite 5 days/week

Duration: Long Term

Work Authorization: USC, GC, GC-EAD, H4-EAD (No H1B and OPT)

Job Summary


We are seeking a highly skilled Software Engineer to work on hardware integration and automation projects in the consumer electronics domain. The ideal candidate will have strong programming skills in C++ and Python , experience interfacing with hardware components and firmware, and the ability to develop scalable, reusable systems for data collection and hardware automation.

Key Responsibilities

• Develop software to integrate hardware components (e.g., cameras, motion stages, manufacturing robots) and enable automated data collection.
• Build scalable and reusable systems for easy software updates and hardware swaps.
• Interface with firmware and hardware, writing software that directly communicates with devices.
• Set up and maintain data collection software and hardware abstractions.
• Debug C++ and Python code, analyze errors, and collaborate with research engineers and scientists.
• Design and execute experiments to validate product quality and investigate HW/SW issues.
• Create and implement automation procedures for experiments.
• Perform device calibration using proprietary equipment.
• Commission and operate complex measurement and test equipment.
• Document processes and techniques in collaboration with the core team.

Required Qualifications

• Bachelor's degree in Computer Science , Electrical Engineering , or related field.
• Strong programming skills in C++ and Python .
• Experience interfacing with hardware components and firmware.
• Strong testing and debugging skills.
• Ability to gather and analyze requirements from stakeholders.
• Excellent problem-solving, analytical, and attention-to-detail skills.
• Strong verbal and written communication skills.
• Ability to work collaboratively in cross-functional teams.

Preferred Qualifications

• Experience with real-time data pipelines (e.g., high-resolution image transfers from cameras).
• Experience with Raspberry Pi or similar hardware.
• Statistical data analysis and visualization skills.
• Experience in robot control or mechatronics (e.g., controlling linear motion stages, robot arms).
• Knowledge of camera optics .