Senior Real-Time Test Automation Engineer - Embedded

Johns Hopkins Applied Physics Lab; Laurel (MD); On-site; USD 100,000 - 245,000; Full time

Benefits offered by this job

Generous benefits

Education assistance

Unparalleled retirement contributions

Healthy work/life balance

Job summary

The Johns Hopkins Applied Physics Lab in Laurel, Maryland, is looking for a Senior Test Automation Software Engineer. This role involves developing and automating test infrastructure solutions for real-time aerospace software for prestigious clients like NASA.

The ideal candidate should have a B.S. in a related field and expertise in C++, Python, and Continuous Integration systems, along with more than 5 years of experience in embedded systems and test development. Join a team dedicated to innovation and professional growth.

Qualifications

• 5 years of experience developing software for embedded systems, test development, and devops.
• Proficient with design and development of test automation systems including infrastructure.

Responsibilities

• Develop and automate test infrastructure solutions for real-time aerospace software.
• Design, develop, and test emulations of aerospace systems.
• Mentor APL staff and collaborate with spacecraft engineers.

Skills

C++

C

Python

Continuous Integration/Continuous Delivery

Containerization/Virtualization

Test Automation Systems

Source Code Management (SCM)

Education

B.S. in Software Engineering, Computer Science, Electrical or Computer Engineering

Job description

The Johns Hopkins Applied Physics Lab in Laurel, Maryland, is looking for a Senior Test Automation Software Engineer. This role involves developing and automating test infrastructure solutions for real-time aerospace software for prestigious clients like NASA.

The ideal candidate should have a B.S. in a related field and expertise in C++, Python, and Continuous Integration systems, along with more than 5 years of experience in embedded systems and test development. Join a team dedicated to innovation and professional growth.