Principal Systems Engineer - Algorithms Integration Lead

RTX•Tucson, AZ

2d•Onsite

About The Position

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Processing, Guidance & Control (PG&C) Center is responsible for algorithm development including Guidance, Navigation, and Control; radio frequency (RF) and electro-optical/infrared (EO-IR) Signal Processing (SP); and missile-and-sensor-level Modeling and Simulation for Raytheon's broad portfolio of projects, programs, and products. In the SP Department, we design, integrate, and optimize sensor control, detection processing, tracking, and classification algorithms to meet mission objectives. We support new business initiatives and help develop & execute technology roadmaps. The Signal Processing Department within PG&C is seeking a Principal Systems Engineer - Algorithms Integration Lead for an Advanced Technology program. This is an onsite position located in Tucson, AZ.

Requirements

Typically requires a Bachelor’s degree in Engineering, Science, Physics, Mathematics (STEM) and a minimum of 8 years of prior relevant experience
Experience with EO/IR Signal Processing algorithm development and/or EO/IR analysis (background filtering, temporal filtering, thresholding/segmentation, tracking)
Experience supporting hardware activities leading to test events, such as calibration and acceptance testing for sensors and devices and ensuring that the selected hardware supports test objectives
Experience programming in C/C++, Python, and/or MATLAB
Experience with Windriver/VxWorks development and real-time debugging on hardware
Active and transferable Top Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start.
U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Nice To Haves

Strong knowledge of Real-Time Operating Systems
Knowledge of Network Programming (TCP/IP, UDP)
Familiarity with Rate Monotonic Analysis (RMA) and asynchronous process timing/benchmarking
Knowledge and understanding of guidance, navigation, and control fundamentals (Kalman filters, open/closed loop guidance, Direction Cosine Matrices)

Responsibilities

Lead a multi-disciplinary team of 8–10 engineers across software, systems integration & test, simulation, and algorithms
Work with the Signal Processing (SP) and Guidance, Navigation, and Control (GNC) teams to define algorithm integration and test strategies across multiple hardware test platforms.
Lead a team responsible for running integration tests and analyzing results to verify algorithm functionality and performance
Design and oversee the development of test builds used to validate algorithm implementation and overall system performance
Partner with Software Configuration Management (SCM) and other stakeholders to develop and improve software build and release processes
Partner with Systems Engineering to write and release software requirements
Design and develop the ground test software platform based on requirements from internal and external teams
Lead the design, implementation, and testing of device drivers that enable SP and GNC algorithms to communicate with hardware peripherals (e.g., cameras, IMUs, and other sensors)
Meet regularly with the SP and GNC development teams to ensure embedded software supports algorithm performance goals
Perform timing and performance analysis across algorithms, embedded software, and device drivers to ensure the system meets performance requirements
Meet regularly with functional department leads to review team performance metrics