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Remote Graduate Embedded Software Engineer Jobs in Iowa

EnerSys

Application Security Engineer (REMOTE)

Ackworth, IA · 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 ...

Quora

AI Automation Engineer -Remote

Des Moines, IA · On-site +1

$202K - $234K/yr

This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ... Use AI as much as possible to automate your own process of creating this software * Collaborate ...

Quora

AI Automation Engineer -Remote

Sioux City, IA · On-site +1

$202K - $234K/yr

This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ... Use AI as much as possible to automate your own process of creating this software * Collaborate ...

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Remote Graduate Embedded Software Engineer information

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

To thrive as a Remote Graduate Embedded Software Engineer, you need a solid understanding of C/C++ programming, embedded systems concepts, and a relevant engineering or computer science degree. Familiarity with microcontroller development environments, version control systems like Git, and possibly certifications such as ARM Accredited Engineer are commonly expected. Strong problem-solving skills, self-motivation, and effective remote communication set outstanding candidates apart. These competencies ensure reliable software development, efficient collaboration, and adaptability to the unique challenges of remote embedded engineering work.

What is a Remote Graduate Embedded Software Engineer?

A Remote Graduate Embedded Software Engineer is an entry-level professional who designs, develops, and tests software that runs on embedded systems—such as microcontrollers and specialized hardware—while working remotely. They typically work on firmware, device drivers, and real-time operating systems for products like IoT devices, automotive systems, and consumer electronics. This role is well-suited for recent graduates with a background in computer engineering, electrical engineering, or computer science who are looking to start their careers in embedded systems while enjoying the flexibility of remote work.

What are some common challenges faced by Remote Graduate Embedded Software Engineers, and how can they overcome them?

Remote Graduate Embedded Software Engineers often encounter challenges such as effective communication with cross-functional teams, understanding hardware constraints without physical access to devices, and managing time independently. To overcome these, it's important to proactively seek regular check-ins with mentors, make use of remote debugging tools and simulators, and maintain well-documented code. Building strong organizational habits and leveraging collaborative platforms can greatly improve productivity and team integration.
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Remote Graduate Embedded Software Engineer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Iowa City, IA • Remote

Other

Posted 26 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