Control Application and Systems Engineer

June 3

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Antares Capital LP

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Founded in 1996, Antares is an experienced and cycle-tested alternative asset manager and a leading provider of financing for PE-backed borrowers$1. .$1

cash flow lending • capital markets expertise • single source financing solutions

201 - 500

Description

• As the founding member of the Controls Engineering team, you will be Antares’ expert on control systems. You will work on designing and building the systems that operate, regulate, and report the telemetry of our microreactor. You will help develop and document our system architecture, requirements, control algorithms, and mechanisms. The ideal candidate will have a proven track record of full-stack sensor and control projects and will have at least a light background in robotics. Additionally, you will provide nuanced input into the system architecture trades and take a lead role in managing vendor relationships and our test program.

Requirements

• 5+ years experience working in an environment with hardware-software co-design including the following: • Handling, recording, and analysis of digital and analog telemetry from sensor and controls subsystems • Experience with ethernet, CAN, serial and 4-20 mA telemetry variants • Experience with logic analyzers, data acquisition modules, oscilloscopes and spectrum analyzers • Experience debugging impedance matching issues in the context of controls systems • Experience debugging and modeling EMI and radiation issues in the context of controls systems • Experience developing linear servo, field-oriented-control, and other similar actuation controls systems • Experience writing controls algorithms in an embedded C/C++ environment with strict timing requirements • Experience with ADC and DAC driver configuration in an embedded C/C++ environment • Constructing models of sensor and control system frontends in software and time-domain simulation environments • High level of experience with linear transfer function analysis • High level of experience converting continuous time domain, frequency domain and discrete-time models between one another • High level of experience constructing and conducting system identification exercises for components of a control system and synthesizing high-fidelity models for Monte Carlo simulation purposes • Understanding of nonlinear dynamics and how to identify them in analysis space as well as in field data • Ability to identify the feasibility of SISO, MISO, and MIMO control topologies for a given application • High level of experience separating, evaluating, and benchmarking (through simulation and field testing) cross-coupled dynamics between parallel control systems • Experience with Kalman filtering and sensor fusion • Experience with fault-tolerant architecture and design • Expertise in Python, and C++, particularly prototyping in Python followed by conversion to application and embedded C++ environments • Experience with matlab

Benefits

• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service