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Remote Computer Hardware Engineer Jobs in Louisiana

Harris

Salary: 40K - 55K USD 55K - 76K CAD What your impact will be: * Develop, maintain, and enhance GIS ... Demonstrated experience with at least one major programming language (e.g., C++, Python, Java, C#)

Harris

Salary: 40K - 55K USD 55K - 76K CAD What your impact will be: * Develop, maintain, and enhance GIS ... Demonstrated experience with at least one major programming language (e.g., C++, Python, Java, C#)

Motorola

Note: This is a remote position with travel (25-50%) to support projects in the T4E territory ... Software applications integration, Application Protocol Interfaces (API) concepts, computer ...

Quora

AI Automation Engineer -Remote

Kenner, LA · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... For Toronto and Vancouver based applicants, the salary range is $202,383 - $234,201 CAD + equity ...

Quora

AI Automation Engineer -Remote

Baton Rouge, LA · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... For Toronto and Vancouver based applicants, the salary range is $202,383 - $234,201 CAD + equity ...

Quora

AI Automation Engineer -Remote

Shreveport, LA · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... For Toronto and Vancouver based applicants, the salary range is $202,383 - $234,201 CAD + equity ...

Quora

AI Automation Engineer -Remote

New Orleans, LA · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... For Toronto and Vancouver based applicants, the salary range is $202,383 - $234,201 CAD + equity ...

Quora

AI Automation Engineer -Remote

Lake Charles, LA · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... For Toronto and Vancouver based applicants, the salary range is $202,383 - $234,201 CAD + equity ...

Pearce Services

OSP Engineer

Covington, LA · On-site +1

$36 - $40/hr

Maintain accurate documentation: as-builts, CAD drawings, GIS updates, and permit packages ... Remote role with required fieldwork (site surveys & construction coordination) . * Candidate must ...

Pearce Services

OSP Engineer

New Orleans, LA · On-site +1

$36 - $40/hr

Maintain accurate documentation: as-builts, CAD drawings, GIS updates, and permit packages ... Remote role with required fieldwork (site surveys & construction coordination) . * Candidate must ...

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All JobsComputer Hardware Engineer JobsRemote Computer Hardware Engineer JobsRemote Computer Hardware Engineer Jobs in Louisiana

Remote Computer Hardware Engineer information

What are the key skills and qualifications needed to thrive as a Remote Computer Hardware Engineer, and why are they important?

To thrive as a Remote Computer Hardware Engineer, you need a solid background in electrical engineering, computer architecture, and hardware design, typically supported by a relevant bachelor's degree. Familiarity with CAD tools (such as Altium Designer or AutoCAD), hardware description languages (like VHDL or Verilog), and version control systems is essential. Strong analytical thinking, self-motivation, and effective virtual communication skills set outstanding engineers apart in remote environments. These abilities ensure efficient hardware development, seamless collaboration with distributed teams, and the successful delivery of high-quality products.

What does a Remote Computer Hardware Engineer do?

A Remote Computer Hardware Engineer designs, develops, tests, and oversees the production and installation of computer hardware components such as processors, circuit boards, memory devices, and networks, all while working from a remote location. They collaborate with software developers, troubleshoot hardware issues, and ensure that devices function efficiently and reliably. Remote engineers use digital communication and collaboration tools to work with teams and clients, making it possible to contribute to projects without being onsite. Their role is critical in advancing computing technology and supporting the infrastructure behind modern digital systems.

What is the difference between Remote Computer Hardware Engineer vs Remote Network Engineer?

AspectRemote Computer Hardware EngineerRemote Network Engineer
CredentialsBachelor's in Computer Engineering or related field, certifications like CompTIA A+ or Cisco CCNABachelor's in Computer Science or Networking, certifications like Cisco CCNA or CompTIA Network+
Work EnvironmentDesign, test, and troubleshoot hardware components remotely, often collaborating with manufacturing teamsDesign, implement, and maintain network infrastructure remotely, troubleshooting connectivity issues
Industry UsageElectronics manufacturing, hardware development companiesIT service providers, telecommunications, enterprise networks
Search & Comparison IntentUnderstanding hardware design roles vs network setup rolesDistinguishing between hardware design and network management jobs

Remote Computer Hardware Engineers focus on designing and testing physical components of computers remotely, while Remote Network Engineers manage and troubleshoot network systems. Both roles require technical certifications and often work in tech or manufacturing industries, but their core responsibilities differ significantly.

How do Remote Computer Hardware Engineers effectively collaborate with cross-functional teams despite working offsite?

Remote Computer Hardware Engineers often work closely with design, software, and testing teams using collaboration tools like video conferencing, shared repositories, and project management platforms. Regular virtual meetings and clear documentation are key to maintaining alignment and ensuring that hardware specifications meet project goals. While physical prototyping may require shipping components or coordinating with on-site staff, most design and troubleshooting tasks can be handled remotely with simulation software and remote desktop access. Building strong communication habits is essential to overcome the challenges of physical distance and keep projects on schedule.
What are the most commonly searched types of Computer Hardware Engineer jobs in Louisiana? The most popular types of Computer Hardware Engineer jobs in Louisiana are:
What are popular job titles related to Remote Computer Hardware Engineer jobs in Louisiana? For Remote Computer Hardware Engineer jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Remote Computer Hardware Engineer jobs in Louisiana look for? The top searched job categories for Remote Computer Hardware Engineer jobs in Louisiana are:
What cities in Louisiana are hiring for Remote Computer Hardware Engineer jobs? Cities in Louisiana with the most Remote Computer Hardware Engineer job openings:
Remote Computer Hardware Engineer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Shreveport, LA • Remote

Other

Posted 20 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