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Embedded Software Manager Remote Jobs in Mississippi

Rebellion Defenses

Remote IT Project Manager

Jackson, MS · Remote

$85K - $101K/yr

Overview Join our dynamic team at Rebellion Defenses as we seek an experienced individual to manage ... Knowledge of software development processes. Salary: 40000 - 150000 USD Per annum

EnthuZiastic

Growth Hacker - Remote

Biloxi, MS · Remote

Budget Management: * Manage and allocate budgets effectively across various growth channels ... Great learning opportunities to develop new skills and understanding of cutting edge software tools ...

EnthuZiastic

Growth Hacker - Remote

Gulfport, MS · Remote

Budget Management: * Manage and allocate budgets effectively across various growth channels ... Great learning opportunities to develop new skills and understanding of cutting edge software tools ...

EnthuZiastic

Growth Hacker - Remote

Hattiesburg, MS · Remote

Budget Management: * Manage and allocate budgets effectively across various growth channels ... Great learning opportunities to develop new skills and understanding of cutting edge software tools ...

EnthuZiastic

Growth Hacker - Remote

Jackson, MS · Remote

Budget Management: * Manage and allocate budgets effectively across various growth channels ... Great learning opportunities to develop new skills and understanding of cutting edge software tools ...

EnthuZiastic

Growth Hacker - Remote

Southaven, MS · Remote

Budget Management: * Manage and allocate budgets effectively across various growth channels ... Great learning opportunities to develop new skills and understanding of cutting edge software tools ...

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Embedded Software Manager Remote information

What are the key skills and qualifications needed to thrive as an embedded software manager remote, and why are they important?

To thrive as an Embedded Software Manager (Remote), you need a strong background in embedded systems development, programming (often in C/C++), and leadership experience, typically backed by a relevant engineering degree. Familiarity with industry-standard tools such as version control systems (e.g., Git), real-time operating systems, and project management platforms is essential, along with certifications like PMP or Agile Scrum. Excellent communication, problem-solving, and team leadership skills are crucial for managing distributed teams and ensuring project alignment. These competencies are vital for delivering high-quality embedded solutions efficiently while fostering collaboration and innovation in a remote work environment.

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

AspectEmbedded Software Manager RemoteEmbedded Software Engineer
CredentialsBachelor's/Master's in Computer Science or Electrical Engineering, leadership experienceBachelor's/Master's in Computer Science or Electrical Engineering
Work EnvironmentRemote management, team coordination, project oversightRemote or on-site coding, development, testing
Industry UsageUsed in companies developing embedded systems, IoT, automotive

The Embedded Software Manager Remote oversees teams and projects remotely, focusing on leadership and coordination. In contrast, the Embedded Software Engineer primarily focuses on coding and developing embedded systems. Both roles require similar technical credentials, but their responsibilities and work focus differ significantly.

How does an embedded software manager typically balance hands-on technical work with team leadership responsibilities in a remote setting?

As an Embedded Software Manager working remotely, you’ll often split your time between technical oversight—such as reviewing code, guiding architecture decisions, and solving complex issues—and leadership tasks like mentoring engineers, facilitating communication, and aligning projects with business goals. Effective managers establish clear communication channels and leverage collaboration tools to maintain team cohesion despite the distance. While you may still participate in some hands-on development, your primary focus will shift towards enabling your team’s success, removing obstacles, and ensuring timely project delivery. This balance requires strong organizational skills and proactive engagement with both technical and managerial aspects of the role.

What does an embedded software manager do, especially in a remote setting?

An Embedded Software Manager oversees teams that design, develop, and maintain embedded software—software that is built into hardware devices such as automotive systems, medical devices, or consumer electronics. In a remote role, they coordinate distributed teams, manage project timelines, ensure software quality, and facilitate communication between engineers and other stakeholders. They are responsible for technical leadership, resource allocation, and often work closely with hardware engineers to ensure seamless integration. Effective remote management also involves using collaboration tools and agile methodologies to keep projects on track.
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Embedded Software Manager Remote jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Jackson, MS • 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