Software Engineer I

About the Role

The Hardware In the Loop (HWIL) Department in Tucson, AZ is responsible for designing, building, and integrating state-of-the-art testing environments. This role involves working with weapon system designers to understand requirements, design solutions, integrate, and deploy systems to support tactical software development, testing, and delivery for missiles. This position is 100% on-site at the Tucson, AZ campus.

Key Responsibilities

• Work on a multi-disciplined team to support systems integration.
• Support troubleshooting and failure data analyses, including root cause and corrective action processes.
• Perform advanced use of lab or field test equipment.
• Work in a lab environment integrating software, firmware, and hardware in support of complex systems.

Requirements & Tech Stack

• U.S. citizenship is required.
• Active and transferable U.S. government issued security clearance is required prior to the start date.
• Ability to obtain an INTERIM U.S. government issued security clearance is required prior to the start date.
• Security Clearance Type: DoD Clearance: Secret

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related Science, Technology, Engineering, or Mathematics (STEM) major obtained by the start date.
• Experience with systems requirements, systems integration, systems test, systems software, and/or systems hardware. Experience may be obtained through on-the-job experience, research, coursework, or projects.
• Experience troubleshooting systems using test equipment such as oscilloscopes, logic analyzers, network analyzers, and/or spectrum analyzers.
• Experience using telemetry data collection equipment to capture real-time data and/or real-time monitoring.
• Experience with electrical schematics, interface control documentation, and communications protocols.
• Experience with reading and integrating software routines with hardware/electronics; C/C++/C# preferred.
• Experience with instrumentation and collection of large data sets, including the application of scripting or automation to data collection and analysis.