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Embedded Software Engineer Remote Jobs in Arkansas

Quora

iOS Engineer -Remote

Fort Smith, AR · Remote

$61.63 - $88.47/hr

Own the entire software development process from timeline estimation to coding, testing and release ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

$166K - $191K/yr

Own the entire software development process from timeline estimation to coding, testing and release ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

$166K - $191K/yr

Own the entire software development process from timeline estimation to coding, testing and release ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

iOS Engineer -Remote

Fayetteville, AR · Remote

$61.63 - $88.47/hr

Own the entire software development process from timeline estimation to coding, testing and release ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Cisco

Senior Software Engineer, Backend

Bentonville, AR · On-site +1

$165K - $241K/yr

Experienceutilizingautomated testing frameworks and LLM-based coding assistants within the software development lifecycle. Preferred Qualifications * Programming experience in Rust, Scala, Python.

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Embedded Software Engineer Remote information

What are some common challenges faced by remote embedded software engineers, and how can they be addressed?

Remote Embedded Software Engineers often encounter challenges such as limited direct access to physical hardware, coordinating across different time zones with team members, and maintaining effective communication for troubleshooting and integration tasks. These challenges can be mitigated by utilizing remote hardware labs, well-established code repositories, and clear documentation practices. Regular video meetings, collaborative development tools, and proactive status updates also help keep projects on track and align team efforts. By staying organized and responsive, remote engineers can overcome these obstacles and deliver high-quality embedded solutions.

What is an embedded software engineer remote?

An Embedded Software Engineer Remote job involves designing, developing, and testing software that runs on embedded systems, such as microcontrollers or IoT devices, while working remotely. These engineers write low-level code, optimize performance, and ensure seamless hardware-software integration. They use programming languages like C, C++, or Python and collaborate with teams through virtual communication tools. Remote roles require strong self-discipline, effective communication, and the ability to troubleshoot issues independently.

What are the key skills and qualifications needed to thrive as an embedded software engineer remote?

To thrive as an Embedded Software Engineer Remote, you need strong programming skills in C/C++, a solid understanding of embedded systems architecture, and often a degree in computer engineering, electrical engineering, or a related field. Familiarity with real-time operating systems (RTOS), version control tools like Git, and hardware debugging tools is commonly required, and certifications like Certified Embedded Systems Engineer (CESE) are a plus. Excellent problem-solving, self-motivation, and clear communication are important soft skills for effective remote collaboration. These capabilities enable you to deliver reliable, efficient solutions in a distributed work environment while supporting cross-functional teams and project objectives.

What are the most commonly searched types of Embedded Software Engineer jobs in Arkansas? The most popular types of Embedded Software Engineer jobs in Arkansas are:
What are popular job titles related to Embedded Software Engineer Remote jobs in Arkansas? For Embedded Software Engineer Remote jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Embedded Software Engineer Remote jobs in Arkansas look for? The top searched job categories for Embedded Software Engineer Remote jobs in Arkansas are:
What cities in Arkansas are hiring for Embedded Software Engineer Remote jobs? Cities in Arkansas with the most Embedded Software Engineer Remote job openings:
Embedded Software Engineer Remote jobs near you
Infographic showing various Embedded Software Engineer Remote job openings in Arkansas as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Little Rock, AR • Remote

Full-time

Re-posted 16 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply