F-22 Pilot Training Lead Software Engineer–Simulation
BoeingAbout the role
Company:
The Boeing CompanyThe Boeing Company is currently seeking a F-22 Pilot Training Lead Software Engineer to join the Vehicle Simulation Team located in Berkeley, MO. This position will focus on supporting the Boeing Global Services business organization.
The F-22 Vehicle Simulation Team within BGS Software Engineering is responsible for developing products directly employed in the training of our nation’s fighter pilots:
• F-22 Pilot Training Avionics Simulation (PTAS)
• F-22 Advanced Simulation Toolset (FAST) supporting the Boeing Virtual Warfare Center (VWC)
These simulations support the employment and training of next generation avionics and sensor systems for the F-22 Raptor.
This is an exciting opportunity that will allow you to help design and plan the long-term roadmap of the Vehicle Simulation team as a Technical Architect and Lead Software Engineer. In this role you will interact with users to refine requirements and timelines; work with management and other stakeholders to assess prioritization of feature enhancements; facilitate technical design and peer code reviews; set and refine coding standards; provide mentoring to the software teams; and tackle complex coding tasks.
F-22 Vehicle Simulation Software Engineers test their changes daily in several different simulation environments including the desktop-based Development Test Environment (DTE) and Full Mission Trainer (FMT) cockpit used in conjunction with the Constant Resolution Visual System (CRVS) driving 360 degrees of immersive, visual environment.
Position Responsibilities:
We work in a casual but professional environment with multi-disciplined teams of engineers that take pride in developing, integrating, testing and delivering innovative solutions. There is long-term potential for career growth into technical leadership or management positions and we value the curiosity, tenacity and imagination our engineers bring to our teams each day.
To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.
Basic Qualifications (Required Skills/ Experience):
- 14 years of experience developing in C/C++ for real-time embedded systems
- 14 years of experience with Windows OS and Linux/Red Hat OS
- 14 years of experience in using Software Development tools such as Git, Bitbucket, MS Visual Studio
Preferred Qualifications (Desired Skills/Experience):
- Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science
- Experience with VersionOne/Agility, GNAT Pro, GLStudio
- Experience developing in Ada, Fortran, OpenGL, Python, and Qt.
- Experience with incorporating Lean methodologies and Agile planning and scheduling processes.
- Knowledge of cloud architecture, including the different types of clouds (public, private, and hybrid), the different cloud platforms and the various components involved (computing, storage, and networking). Ability to automate and script skills. Knowledge of containerization technologies which includes understanding how to manage containers, deploy applications in a containerized environment, and troubleshoot issues. Knowledge of understanding of networking concepts, including IP addressing, subnetting, routing, and security (focus on security best practices and technologies).
- Knowledge of how to derive and allocate requirements (e.g., system, sub-system, software) and show traceability throughout the product lifecycle.
- Knowledge and ability to design, develop, integrate, apply, and test software models, simulations, framework environments, tools, and applications with higher order programming languages, assembly, and auto-code. Ability to perform Application Programming Interface (API) design, implementation, and testing. Knowledge of real-time software architecture and design methodologies to synthesize models and simulation frameworks that meet real-time requirements; this includes knowledge of real-time target environments, its processor and network architecture, communication protocols, and electrical interfaces.
- Knowledge of software architecture and design methodologies. Ability to synthesize software architectures and designs that meet requirements, characteristics and constraints.
- Knowledge of build and execution environments that include hosts, processors, operating sys
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