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Fpga Embedded Software Engineer Jobs in Columbia, SC

Controls Engineer

Blythewood, SC · On-site

$66K - $86K/yr

Basic ability and understanding of programming using either LabVIEW, PLC ladder logic, or other embedded control languages. * Experience with software controls and software development tools ...

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

Mainframe COBOL Developer IV

Columbia, SC · On-site

$45.25 - $58.25/hr

... embedded in the South Carolina community. We are the largest insurance company in South Carolina ... Financial experience Required Software and Other Tools: * Comprehensive knowledge of relevant ...

New

C++ Tutor

Columbia, SC · Remote

$18 - $40/hr

... programming to operating systems, embedded systems, and high-performance computing applications ... level software development. * Effective Teaching Methods: Ability to identify concepts students ...

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Fpga Embedded Software Engineer information

See Columbia, SC salary details

$70.3K

$118.4K

$174.4K

How much do fpga embedded software engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for fpga embedded software engineer in Columbia, SC is $118,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,400.00 and $141,100.00 per year, depending on experience, location, and employer.

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 programming, enhance job prospects in this field.

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 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.

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 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.
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Senior AI/ML C++ software engineer

Recruiting Engine (MLS)

Lexington, SC • On-site

$104K - $138K/yr

Full-time

Re-posted 16 days ago


Job description

Senior Embedded Controls Engineer: C++/Linux and Machine Learning exp.
As an AI Machine Learning Engineer focus will be on designing and developing scalable solutions using AI tools and machine learning models. Addressing various neural network-related challenges in transportation sector. This involves leveraging big data computation and storage tools to create prototypes and datasets, conducting model training and evaluations, integrating solutions, performing bench tests and onsite tests, tuning, and monitoring. Proficiency in languages such as C and C++ is required, along with software development for Linux platforms.
Your responsibilities
Design and develop real time AI ? Neural Network solutions for transportation industry maintenance equipment. Implementing appropriate ML algorithms.
Write clean, documented code following best practices.
Develop and implement communication protocols.
Work independently and collaboratively with a motivated team.
Generate requirements and design documentation.
Plan for, design, and deliver testing, and tested products into the QA process.
Apply communication and problem-solving skills to solve software issues related to the design, development, deployment, testing, and operation of systems.
Qualifications
Education
Master"s / Bachelor"s degree in Software Engineering or similar experience.
Experience
5+ years of experience in developing CNN, R-CNN type neural network for computer vision tasks.
5+ years of experience in Software development using C++ & Linux embedded.
Experience with Supervised and Semi-Supervised Learning, Deep Learning, Support Vector Machines, Linear and Logistic Regression.
Working knowledge of AI Framework such as TensorFlow, Caf?, PyTorch, Keras, Darknet and OpenCV.
Working knowledge of AI edge devices such as NVIDIA Jetson / Nano / Orin.
Knowledge of the Linux Operating System.
Preferred Experience
Experience using statistical computer languages (R, Python, SQL etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (semantic segmentation, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
Experience with edge computing & controlling devices (On-device deployment in C/C++ or similar) for real time application.
Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization).