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Fpga Embedded Software Engineer Jobs in West Virginia

LTS

Senior Front-End Agentic AI Engineer

Charleston, WV · Remote

$113K - $155K/yr

We don't simply build AI-powered software--we build software with AI. This is not another chatbot ... Build and maintain conversational interfaces, embedded AI assistants, review workflows, and ...

EnerSys

Application Security Engineer (REMOTE)

Bluefield, WV · Remote

$117K - $146K/yr

This position partners with software engineers, DevOps teams, and security professionals to embed ... Experience securing embedded systems and mobile applications. Reasoning Ability Problem management ...

Shield AI

Senior Staff Technical Sourcer

Charleston, WV

$120K - $180K/yr

... Software, Embedded, AI/ML, Systems, Manufacturing, and other engineering disciplines. * Map the market: Develop comprehensive talent landscapes by company, skillset, geography, and organizational ...

GDIT

WV · On-site

$83K - $107K/yr

... software applications. RESPONSIBILITIES: * Participate in all Agile Scrum ceremonies, program ... Experience with business process re-engineering. * Experience delivering technical briefings and ...

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Fpga Embedded Software Engineer information

What does an FPGA embedded software engineer do?

An FPGA Embedded Software Engineer designs, develops, and maintains software that runs on Field Programmable Gate Arrays (FPGAs). They work closely with hardware teams to implement embedded systems, often using languages like VHDL, Verilog, and C/C++. Their responsibilities include creating firmware, optimizing system performance, and integrating hardware and software components. These engineers are crucial in industries such as telecommunications, aerospace, automotive, and consumer electronics, where real-time processing and customizable hardware are needed.

What are the typical challenges faced by an FPGA embedded software engineer when integrating hardware and software components?

FPGA Embedded Software Engineers often encounter challenges in synchronizing software algorithms with hardware logic, ensuring optimal performance and resource utilization. Debugging issues that arise from timing mismatches or interface incompatibilities between hardware and software can be complex and time-consuming. Effective communication and close collaboration with hardware engineers are essential to resolve integration bottlenecks and achieve seamless operation. This role requires a strong understanding of both digital design and embedded programming to troubleshoot and optimize system behavior.

What are the key skills and qualifications needed to thrive as an FPGA embedded software engineer, and why are they important?

To thrive as an FPGA Embedded Software Engineer, you need a strong background in digital design, hardware description languages (such as VHDL or Verilog), and embedded systems, typically supported by a degree in electrical engineering or a related field. Proficiency with FPGA development tools (like Xilinx Vivado or Intel Quartus), simulation software, and debugging instruments is crucial, along with familiarity with C/C++ for embedded programming. Strong problem-solving, attention to detail, and effective communication skills set top professionals apart in this role. These skills are vital for designing reliable, high-performance systems and collaborating efficiently with multidisciplinary teams.

What is the difference between Fpga Embedded Software Engineer vs FPGA Firmware Engineer?

AspectFpga Embedded Software EngineerFPGA Firmware Engineer
Required SkillsEmbedded C/C++, FPGA design, hardware-software integrationVHDL/Verilog, FPGA development, hardware description languages
Work EnvironmentEmbedded systems, software development teams, hardware-software integrationHardware design teams, FPGA development labs
Industry UsageConsumer electronics, aerospace, defense, telecommunicationsHigh-speed data processing, signal processing, communications

While both roles involve FPGA technology, the Fpga Embedded Software Engineer focuses on developing embedded software that runs on FPGA-based systems, integrating hardware and software. In contrast, the FPGA Firmware Engineer primarily designs and implements FPGA hardware logic using HDL languages. Both roles require knowledge of FPGA design, but their focus areas differ—software versus hardware description languages.

Are FPGA embedded software engineers in demand?

FPGA embedded software engineers are in high demand due to the increasing use of FPGAs in industries such as telecommunications, aerospace, and defense. Skills in hardware description languages like VHDL or Verilog, along with embedded systems experience, enhance job prospects as companies seek engineers to develop and optimize FPGA-based solutions.

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For Fpga Embedded Software Engineer jobs in West Virginia, the most frequently searched job titles are:

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Fpga Embedded Software Engineer jobs near you

Senior Engineer, GNC - Sensor Integration (R4601)

Shield AI

Charleston, WV • On-site

$110K - $170K/yr

Full-time

Re-posted 17 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
We are seeking a Sensor Integration Engineer to support selection, characterization, calibration, and integration of multi-modal navigation and localization sensors for aerospace applications. This role operates at the intersection of electrical, mechanical, and software engineering, requiring the ability to work across disciplines and directly contribute to cross-functional engineering efforts. 
What you'll do:
Sensor Selection, Integration & Characterization:
  • Support sensor integration activities from specification through production 
  • Develop and execute sensor characterization and calibration procedures for IMUs, GNSS receivers, cameras, and other navigation sensors 
  • Contribute to sensor trade studies and selection processes 
Cross-Functional Collaboration:
  • Work closely with electrical engineering, mechanical engineering, and software engineering teams on: 
  • Electrical interfaces, power distribution, and signal conditioning 
  • Mounting solutions, alignment, and thermal/vibration considerations 
  • Software interfaces, drivers, data acquisition, and calibration implementation 
  • Participate in design reviews across EE/ME/SW disciplines, providing interdisciplinary perspective and coordination 
  • Willingness to support occasional travel to support teammates with integration and testing
Technical Contributions:
  • Develop and execute test plans for sensor performance characterization and validation 
  • Document sensor characteristics, trade studies, and integration requirements 
  • Develop or modify calibration scripts and data processing tools 
  • Support development of calibration procedures and tooling 
  • Debug issues spanning hardware-firmware-software boundaries 
  • Review and contribute to schematics, CAD models, and code as necessary 
Required qualifications:
Education & Experience:
  • BS in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Physics, or related field 
  • 1-4 years of relevant experience (new grads with strong cross-functional internship/project experience will be considered) 
  • Demonstrated ability to work across at least two of: electrical, mechanical, software domains 
  • Ability to obtain a S//SAR level security clearance desired.
Technical Skills:
  • Understanding of sensor measurement principles and error sources 
  • Ability to read and understand electrical schematics and/or mechanical drawings 
  • Basic proficiency in scripting or programming for data analysis (Python, MATLAB, or similar) 
  • Familiarity with sensor communication protocols (SPI, I2C, UART, CAN, etc.) 
  • Hands-on experience with lab equipment and sensor testing 
Cross-Functional Aptitude:
  • Comfortable learning and working outside primary discipline 
  • Ability to communicate effectively with engineers from different backgrounds 
  • Willingness to engage with hardware, firmware, and software aspects of sensor systems 
  • Strong analytical and problem-solving skills across multiple domains 
Preferred qualifications:
  • Experience with navigation or localization sensors (IMUs, GNSS, cameras, altimeters, etc.) 
  • Exposure to sensor calibration or characterization activities 
  • Basic proficiency with engineering tools such as Altium, NX, and Teamcenter
  • Familiarity with embedded systems or real-time software 
  • Understanding of coordinate transformations or sensor fusion concepts 
  • Experience with automated testing or data acquisition systems 
  • Knowledge of aerospace environmental testing or standards
#LI-SM1
#LC

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.