Embedded Hardware Design Engineer

Emerson•Round Rock, TX

About The Position

Emerson is seeking an Embedded Hardware Design Engineer in Austin, Texas, within 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 works with cross-functional teams and contributes across the product development lifecycle, with opportunities to develop technical expertise and use AI-assisted engineering tools. The position supports embedded hardware design, prototyping, testing, validation, documentation, and sustaining engineering. It also contributes to engineering automation, structured data practices, and AI-enabled workflows intended to improve efficiency, quality, and development speed.

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 with 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 needing current or future sponsorship, including those with the listed temporary visas, 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 with embedded hardware design and development, including component selection, schematic capture, PCB development, and FPGA integration.
  • Support feasibility studies, simulations, engineering analyses, and prototype evaluations addressing performance, reliability, manufacturability, and cost.
  • Collaborate 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.
  • 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 using 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.

Benefits

  • Career development and growth support.
  • Mentorship, training, and leadership opportunities.
  • An inclusive and collaborative workplace.
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