The posting
ASRC Federal Advanced Research LLC (AFAR) is seeking a Software/Computer Engineer to join our Weather Observations Systems Subteam team that supports the Federal Aviation Administration (FAA). This is a full-time on-site position at the Mike Monroney Aeronautical Center (MMAC) in Oklahoma City, OK.
The FAA's Weather Observation Systems Subteam provides critical engineering, lifecycle management, and technical support for a comprehensive network of ground-based aviation weather sensors and information display platforms. By managing diverse equipment—ranging from the Automated Weather Observing System (AWOS) and wind shear detectors such as the Low Level Windshear Alert System (LLWAS) to specialized terminal data displays (ACE-IDS)—the team ensures that air traffic controllers and pilots have the accurate, real-time meteorological data essential for safe flight operations.
Citizenship/Permanent Residency Requirement
All candidates must have the following to pass the Federal Background Investigation and obtain the FAA Public Trust security clearance.
Be a US Citizen. Has resided in the US for three (3) consecutive years. RealID Driver’s License/ID or current US Passport.
Relocation Requirement
Candidate must reside or be willing to relocate within a commutable distance to the Mike Monroney Aeronautical Center (MMAC) in Oklahoma City, OK.
Education & Experience Requirement
All non-US Degrees must have a US Equivalency Certificate provided by the candidate at the time of application.
A Bachelors (ABET) degree in Engineering or related IT field, such as Physics, Aerospace, Chemistry, Computer Science, or Mathematics. Experience with NAS facilities, systems, and equipment is desired. 6 - 9 years of related work experience.
Required Skills
Proficient in programming languages and scripts used in model and tool development (C, C++, Python). Familiarity with HW system design, schematics, and interconnects. Strong organizational skills; able to manage high-volume concurrent tasks using agile tracking tools and workflow templates. Experience with source control such as Git. Familiarity with VLANs, VPNs, NAT, ACLs, and network segmentation. Knowledge of network monitoring and diagnostic tools. Strong understanding of the OSI model, TCP/IP communications, subnetting, routing, and switching. Ability to:
Work independently, as well as on a team, in an agile environment. Research, troubleshoot and problem solve quickly. Learn on the job/willing to self-teach. Communicate effectively through verbal and written communication with high organization.
Preferred Skills
Proven ability to track and coordinate implementation tasks and approval processes across multiple external agencies, including the FAA and NWS. Experience gathering site requirements and drafting formal Requests for Change (RC) for technical configuration alterations such as instrumentation, communication setups, and processing unit relocations. Ability to manage a high volume of concurrent site issues by developing and utilizing organizational aids. Capability to pull historical system observations from online sources to support internal system reliability studies.
Essential Daily Job Duties
Respond to and evaluate requests from airport sites to alter ASOS configurations, including instrumentation, communications, and processing unit locations. Gather necessary site and technical information to draft comprehensive, review-ready Requests for Change. Track and coordinate the approval and implementation process for Requests for Change across multiple agencies. Develop and maintain tracking aids such as Kanban boards, standardized templates, and communication shortcuts to efficiently manage high volumes of site requests. Minimize downtime by streamlining request management processes. Monitor current field setups to identify potential siting standard violations. Coordinate with relevant teams to address siting standard violations. Ensure all changes and site requests comply with established standards and procedures.
Work Environment
Standard flexible work schedule. Travel is < 10%. Cubicle environment.



