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Experience with the development of measurement systems including with computer programming for data acquisition (e.g., using Python, Matlab, or LabVIEW) is also desired. Job Description The Quantum Information and Integrated Nanosystems Group seeks an engineering assistant to aid in the development of next-generation photonic integrated circuit (PIC) devices and systems, especially those for trapped-ion based quantum computing and sensing.
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Experience with modeling and simulation design using tools such as MATLAB, Simulink, or similar software. Proficiency in one or more of the following areas: RF circuit design and troubleshooting, software defined radios (SDRs), digital signal processing (DSP), electromagnetic propagation, or types of RF and Microwave antennas.
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Experience with 3-phase motor controller design, Matlab, EtherCAT, BiSS-C, boost circuits, SBCs,thermal management, resonant circuits, TI c2000 family, SEMI S9; F47 and KCs, are a valued plus. Experience in digital and analog circuit design, Ethernet/EtherCAT, power electronics design and motion control for electromechanical systems.
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JavaGit/Jira/BitBucketDigital Signal Processing Matlab/SimulinkWorking knowledge of VHDL FPGA Design ExperienceExperience creating reusable Verification IP. Experience leading small to medium teams with accountability for cost, schedule, and qualityExperience driving process.
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U.S. citizenship is required as only U.S. citizens are eligible for a security clearance Qualifications We Value: Deriving system of equations for mechanical and electrical systems Classical Control Theory: PID, Nyquist, Bode, Root Locus Modern Control Theory: Full-State Feedback, State Estimation Digital Control Familiarity with electric motors (primarily BLDC type) Software Skills Matlab/Simulink C/C.
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Should be competent with at least one numerically focused programming environment such as Python or Matlab using the native linear algebra, image processing, and machine learning libraries. Onto Innovation is a leader in process control, combining global scale with an expanded portfolio of leading-edge technologies that include: 3D metrology spanning the chip from nanometer-scale transistors to micron-level die-interconnects; macro defect inspection of wafers and packages; metal interconnect composition; factory analytics; and lithography for advanced semiconductor packaging.
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Must have excellent verbal and written communication skills, with the ability to work in a high functioning design team Preferred Skills: Knowledge of MATLAB, Perl, TCL, System C, System Verilog.
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7+ years work experience in model-based design using Simulink, Simulink RT, and MATLAB developing complex electromechanical test systems including pre-processing, solves, post processing, and model validation in an R&D environment.
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Proficiency with statistical tools and software such as Minitab and MATLAB. Bachelor’s degree in Mechanical Engineering, Robotics, Mechatronics, Advanced Manufacturing Engineering, or a related field.
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System modeling and analysis experience using MATLAB, Simulink, or other comparable tools. Expertise in one or more of the following areas: low-noise electronics, analog-digital conversion, methods of synchronous detection, analog and digital signal processing, phase-locked loops, motor control and drive circuits.
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Nice to have experience developing test applications and/or firmware with MATLAB Simulink. This role is suited for an R&D engineer with experience in developing, building, and testing complex electro-mechanical medical devices, design transfer, and process validation with broad knowledge of electrical, mechatronics, firmware, software, and systems engineering, including design verification testing, and transfer to manufacturing within a regulated medical device development environment.
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Strong competency in a computing environment such MATLAB, Python, Mathematica, or similar is required. The candidate is expected to have deep fundamental knowledge and experience with optics, electromagnetics, materials, devices, thermodynamics, statistical mechanics, and/or acoustics.
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PREFERRED: expertise and a relevant track record in optimization, process systems engineering, techno-economic assessment (cash flow analysis) and life cycle assessment (GREET or other LCA software); experience using commercial process modeling software (e.g., Aspen Plus), programming languages (e.g., Python, Julia, and MATLAB), and optimization packages (e.g., JuMP and Pyomo.
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Proficiency in mathematical modeling using differential equations and programming as demonstrated by hands-on experience in a variety of computational tools such as MATLAB, Julia and R (MATLAB preferred.
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Very proficient in using MATLAB for DSP signal analysis. You would identify the most promising candidates, conduct a highly-competent, mission-relevant trade study using MATLAB, and report your recommendations to our sponsors and collaborators.
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