ZipRecruiter

Log In

1

Embedded Software Engineer Relocation Jobs in Hopkins, SC

Flex Ltd.

Test Engineer

Columbia, SC · On-site

Troubleshoot product, system, hardware, software, and test equipment issues to determine root ... Eligible for domestic relocation only Is Sponsorship Available? No Flex is an Equal Opportunity ...

Flex

Electrical Test Engineer

Columbia, SC

Troubleshoot product, system, hardware, software, and test equipment issues to determine root ... Eligible for domestic relocation only Is Sponsorship Available? No Flex is an Equal Opportunity ...

next page

Showing results 1-20

All JobsEmbedded Software Engineer Relocation JobsEmbedded Software Engineer Relocation Jobs in Hopkins, SC

Embedded Software Engineer Relocation information

See Hopkins, SC salary details

$65K

$142.4K

$161.5K

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

As of Jul 16, 2026, the average yearly pay for embedded software engineer relocation in Hopkins, SC is $142,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,100.00 and $160,600.00 per year, depending on experience, location, and employer.

What are Embedded Software Engineers and what does relocation mean in this context?

Embedded Software Engineers design, develop, and optimize software that runs on specialized hardware or embedded systems, such as microcontrollers or IoT devices. In the context of relocation, this job may require moving to a particular city or country where the employer's development center or project site is located. Companies often support relocation by assisting with moving expenses, visa processing, and settling-in services. Relocating can offer exposure to new technologies, cultures, and professional growth opportunities. It's important to inquire about the specific relocation package and support provided by the employer.

What are the key skills and qualifications needed to thrive as an Embedded Software Engineer, and why are they important?

To thrive as an Embedded Software Engineer, you need strong proficiency in C/C++, real-time operating systems, microcontroller architecture, and a relevant engineering degree. Familiarity with tools such as debuggers, oscilloscopes, version control systems (like Git), and often certifications in embedded systems or IoT are highly valued. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for collaborating across hardware and software teams. These skills ensure robust, efficient, and reliable product development in complex embedded environments.

What is the difference between Embedded Software Engineer Relocation vs Embedded Software Developer?

AspectEmbedded Software Engineer RelocationEmbedded Software Developer
CredentialsBachelor's or higher in Computer Engineering, Electrical Engineering, or related fields; certifications like C, C++, or RTOS are commonSame as Embedded Software Engineer Relocation
Work EnvironmentTypically in manufacturing, automotive, or consumer electronics companies; involves relocation to different sites or regionsSimilar environments; focus on developing and testing embedded systems
Industry UsageUsed across automotive, aerospace, consumer electronics, and industrial automationCommonly used in the same industries for software development roles

Both roles require similar technical skills and certifications, with the main difference being that Embedded Software Engineer Relocation emphasizes geographic mobility, often involving relocation to different company sites or regions. The core responsibilities and industry applications are largely overlapping, making them closely related roles in embedded systems development.

What are the common challenges faced by Embedded Software Engineers when relocating for a new position?

Relocating as an Embedded Software Engineer often involves adapting to new company processes, development tools, and hardware platforms, which can vary significantly between organizations. Additionally, engineers may need to quickly build relationships with cross-functional teams, such as hardware engineers and quality assurance specialists, to ensure seamless product development. Familiarizing oneself with local industry standards or regulatory requirements is also crucial, especially if relocating internationally. Proactively seeking mentorship and participating in team meetings can help smooth the transition and accelerate integration into the new work environment.
What cities near Hopkins, SC are hiring for Embedded Software Engineer Relocation jobs? Cities near Hopkins, SC with the most Embedded Software Engineer Relocation job openings:
Embedded Software Engineer Relocation jobs near you
Senior AI/ML C++ software engineer

Senior AI/ML C++ software engineer

MLS Technologies

Lexington, SC • On-site

$104K - $138K/yr

Full-time

Re-posted 24 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).
Education:Bachelor LevelEmployment Type: FULL_TIME

Apply