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Remote Junior Embedded Software Engineer Jobs in Erie, PA

iOS Engineer -Remote

Erie, PA · 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 ...

While this is a full remote position, there is preference for candidates located in the Northern ... Proficient software experience should include Easy Power, SKM Powertools, ETAP, Aspen, and EMTP.

... software and cloud-based accounting platforms * Ability to self-manage and thrive in a remote work ... Background in training or mentoring junior staff or cross-functional team members * Experience ...

C++ Tutor

Erie, PA · 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 ...

This is a remote position for candidates based in the United States. This role is contributing to ... Bachelor's degree in Engineering, Business Administration, or related field (or equivalent ...

Remote Junior Embedded Software Engineer information

See Erie, PA salary details

$45.1K

$91.6K

$137.6K

How much do remote junior embedded software engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for remote junior embedded software engineer in Erie, PA is $91,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,700.00 and $92,500.00 per year, depending on experience, location, and employer.

What does a remote junior embedded software engineer do?

A Remote Junior Embedded Software Engineer is responsible for developing, testing, and maintaining software that runs on embedded systems, such as microcontrollers or specialized hardware devices. Working remotely, they collaborate with teams to write code, debug issues, and ensure the software integrates seamlessly with hardware components. Their role typically involves assisting senior engineers, learning industry best practices, and gradually taking on more complex tasks as they gain experience.

What is the difference between Remote Junior Embedded Software Engineer vs Remote Embedded Software Engineer?

AspectRemote Junior Embedded Software EngineerRemote Embedded Software Engineer
Experience LevelEntry-level, 0-2 yearsMid-level, 2+ years
ResponsibilitiesAssisting in firmware development, testing, debuggingDesigning, developing, and maintaining embedded systems
CredentialsRelevant degree, internship experienceRelevant degree, some professional experience
Work EnvironmentRemote, collaborative teamsRemote or hybrid, project-based

The main difference between a Remote Junior Embedded Software Engineer and a Remote Embedded Software Engineer lies in experience and responsibilities. Junior roles focus on learning and assisting with tasks, while embedded engineers handle more complex development and design tasks. Both roles often work remotely within tech and manufacturing industries, sharing similar credentials and work environments.

What are the key skills and qualifications needed to thrive as a remote junior embedded software engineer, and why are they important?

To thrive as a Remote Junior Embedded Software Engineer, you need a solid grasp of embedded C/C++ programming, basic electronics, and a relevant degree in computer engineering or a similar field. Familiarity with microcontroller development environments, version control systems like Git, and debugging tools is typically expected. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you succeed in a distributed team. These skills ensure you can efficiently develop, test, and maintain reliable embedded systems while collaborating remotely with colleagues.

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

Remote Junior Embedded Software Engineers often face challenges such as limited access to hardware for testing, communication barriers with team members, and the learning curve associated with embedded systems development. To address these, many teams use simulators, remote hardware labs, and clear documentation to support remote access and collaboration. Regular check-ins, mentorship programs, and collaborative tools like version control systems help ensure junior engineers receive guidance and stay connected to their teams, promoting effective learning and project progress.
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What cities near Erie, PA are hiring for Remote Junior Embedded Software Engineer jobs? Cities near Erie, PA with the most Remote Junior Embedded Software Engineer job openings:

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Erie, PA • Remote

Full-time

Re-posted 15 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.