UTC Aerospace Systems is one of the world’s largest suppliers of technologically advanced aerospace and defense products. We design, manufacture and service systems and components and provide integrated solutions for commercial, regional, business and military aircraft, helicopters and other platforms. We are also a major supplier to international space programs.

In 2012, UTC Aerospace Systems was formed by combining two industry leaders, Hamilton Sundstrand and Goodrich, creating an organization with key  positions on a wide range of aircraft flying today and substantial content on various UAVs, satellites and ground and naval vehicles.

We are seeking a Control Systems Engineer with experience in nonlinear electromechanical control systems with floating-point and fixed-point/integer arithmetic discrete-time algorithm development. Design, analysis and simulation of feedback-control systems using frequency-domain, time-domain, and state-space methods with Matlab and Simulink. Must have a detailed understanding of discrete Fourier transforms and their application to system design and analysis. Will be able to model control of multivariable nonlinear systems with noise characteristics using mathematical representations and be able to design digital filters using state-variable methods. Additional skills include failure analysis, superposition of effects, phase-plane analysis and limit cycles.

Responsibilities include Control Systems design activity, working in a lab environment to validate and debug control systems, interfacing with customers in teleconferences or travel, and contributing to the Engineering development process.

Qualifications:

MS in Electrical Engineering and 15 years' experience or PhD and 10 years experience.

Electro-mechanical actuation systems evaluation and optimization

Analog and digitial servo loop evaluation, tuning and testing

z-Transforms and z-Domain/discrete-time filter implementation using VHDL code and floating-point arithmetic

Test data analysis and dissemination including calculating frequency response from raw data and the limitations that apply to this type of analysis.

Brushless DC motor drives and controls

Use of Matlab, and Pspice for simulation and analysis

Use of dymanic signal analyzers

Must be a US Citizen or Green Card holder and willing to relocate to Albuquerque, NM (relocation assistance available)