Embedded Systems Engineer - Research Associate (SDR/RF)

Pacific Northwest National Laboratory; Richland (WA); On-site; USD 3,788,000 - 4,928,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Pension plan

401(k) match

Vacation and leave

Job summary

Pacific Northwest National Laboratory (PNNL) seeks an electrical engineering intern to verify, test, and analyze embedded systems, power electronics, and software for RF sensing and SSR applications. You will use C/C++ and Python to automate tasks, collect data, and validate hardware in a research environment.

The role involves learning RF fundamentals, configuring SDR/RF systems, and working with data scientists on machine learning acceleration hardware. U.S.

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical field within the past 24 months or in the next 8 months.
• Basic scripting/software development experience in C/C++ and/or Python.
• Familiarity with Linux operating systems and command line interfaces.
• Basic electronic circuit theory and ability to read schematics.

Responsibilities

• Write software test utilities in C/C++ and Python.
• Configure SDR and RF systems for testing.
• Collect and analyze data.
• Read schematics, test circuits and develop small circuits to meet various system needs.
• Configure electronic systems for system validation and testing.
• Test electronic systems for performance verification.

Skills

C/C++

Python

Linux

Schematics reading

Education

Bachelor's degree in Electrical Engineering/Computer Engineering or related field

Tools

Git tools

Docker

VMware

Job description

Pacific Northwest National Laboratory (PNNL) seeks an electrical engineering intern to verify, test, and analyze embedded systems, power electronics, and software for RF sensing and SSR applications. You will use C/C++ and Python to automate tasks, collect data, and validate hardware in a research environment.

The role involves learning RF fundamentals, configuring SDR/RF systems, and working with data scientists on machine learning acceleration hardware. U.S.