Systems Engineering

Modern smart devices, whether consumer, medical, or industrial, are complex systems that encompass diverse technologies. These devices typically require precision mechanics, electronics, sensors, high-power processors, firmware with complex digital signal processing (DSP), motion control, or machine learning algorithms. Each of these pieces requires a depth of expertise for delivery. 

Pulling diverse strands together

Many companies have someone that attempts to fulfill the role of a systems engineer in addition to their duties as a senior engineer in another discipline. At Simplexity, our deep experience in motion control systems highlighted our need for dedicated systems engineers. Systems-level tasks include requirements gathering and analysis, system architecture, cross-disciplinary system optimization, and product test and verification. Simplexity’s systems engineers pull these diverse strands together to achieve stellar results. 

By focusing on critical features of the design that cut across the traditional disciplinary lines, our systems experts catch the issues that tend to fall through the cracks with engineering teams organized in the traditional manner. Time and time again, an experienced systems engineer working with strong mechanical, electrical, firmware, and software engineers can achieve performance and cost optimizations that other teams simply cannot match. In fact, clients have repeatedly come to us to fix faulty designs that traditionally-organized engineering firms have created. We often discover that the overall system architecture wasn’t designed correctly, costing valuable time and schedule. 

Algorithm Engineering 

Smart devices are more than just electronics and code. An understanding of advanced mathematics is required to develop algorithms. Those data processing algorithms are expressed in the firmware and software code that truly gives a device its smarts. 

This wide range of algorithms includes extended Kalman filter-based sensor fusion algorithms, signal windowing for discrete Fourier transforms, sliding mode nonlinear controllers, and backpropagation learning for neural networks, just to name a few. 

Simplexity's Engineering Experience 

Simplexity’s engineering team is made up of engineers with advanced degrees from top universities in fields such as digital signal processing and feedback control systems. Our expertise also includes practical knowledge based on years of product development experience. 

This mix of knowledge and experience allows us to solve the most difficult problems for our customers, which is why product companies and engineering service providers have sought out Simplexity. We look forward to bringing the power of advanced algorithms to your product.