Embedded Hardware Design Engineer

Emerson•Round Rock, TX

About The Position

Emerson is hiring an Embedded Hardware Design Engineer in Austin, Texas, as part of Emerson Automation Solutions. The role contributes to process automation technologies by helping develop embedded hardware and firmware solutions for FPGA- and microprocessor-based systems. The engineer will work with a cross-functional team and contribute throughout the product development lifecycle, with opportunities to build technical expertise and use AI-assisted engineering tools. The position supports embedded hardware design and development, including component selection, schematic capture, PCB development, and FPGA integration. It also involves feasibility studies, simulation, engineering analysis, prototype evaluation, laboratory testing, debugging, validation, verification, documentation, and sustaining engineering. The engineer will collaborate with hardware, firmware, manufacturing, test, and quality teams to improve product quality, design reuse, and development efficiency, including through automation and structured engineering data.

Requirements

Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical field.
Knowledge of embedded hardware fundamentals, including circuit design, PCB layout, and communication protocols such as SPI, I2C, and UART.
Understanding of digital design concepts, FPGA development, and hardware description languages such as VHDL or Verilog.
Familiarity with C/C++ for testing, debugging, or embedded system development.
Experience using schematic capture and PCB design tools such as Altium, Eagle, OrCAD, or similar platforms.
Experience utilizing AI-assisted engineering, development, or coding tools.
Ability to collaborate effectively in a team environment and communicate technical information clearly.
Authorization to work in the United States without sponsorship now or in the future; individuals with temporary visas or who need sponsorship are not eligible.

Nice To Haves

Internship, co-op, academic project, research, or hands-on experience involving embedded systems or electronics development.
Exposure to high-speed digital design, signal integrity, and power integrity principles.
Experience with scripting or automation tools such as Python, TCL, MATLAB, or similar technologies.
Familiarity with simulation and analysis tools such as HyperLynx, Ansys, SIwave, or equivalent platforms.
Experience with FPGA development environments such as Vivado, Quartus, ModelSim, or Questa.
Familiarity with oscilloscopes, logic analyzers, signal generators, and other laboratory test equipment.
Experience using engineering data analysis, visualization, or reporting tools.
Exposure to automated testing, data acquisition, and hardware validation methodologies.
Familiarity with Azure DevOps, Git, Agile development practices, or related collaboration tools.
Experience applying AI-enabled methods to support hardware design, testing, validation, or process improvements.
Knowledge of industrial automation, networking, Distributed Control Systems (DCS), or functional safety concepts.

Responsibilities

Assist in designing and developing embedded hardware systems, including component selection, schematic capture, PCB development, and FPGA integration.
Support feasibility studies, simulations, engineering analyses, and prototype evaluations to assess performance, reliability, manufacturability, and cost.
Partner with hardware, firmware, manufacturing, test, and quality teams throughout the product lifecycle.
Participate in design reviews, troubleshooting, root-cause analysis, and corrective action implementation.
Perform laboratory testing, debugging, validation, and verification using standard test equipment and automated test systems.
Create and maintain schematics, bills of materials, test plans, reports, and engineering change records.
Support prototype bring-up, board-level debugging, product verification, and sustaining engineering activities.
Contribute to engineering data collection, analysis, and traceability efforts to improve product quality, design reuse, and development efficiency.
Develop and enhance automated testing, measurement, and reporting processes through scripting, data analysis, and AI-assisted engineering tools.
Help improve engineering workflows through automation, structured data, and emerging technologies.
Stay current with advancements in embedded systems, engineering automation, and AI-enabled product development practices.