ZipRecruiter

Log In

2

Remote Rf Design Engineer Jobs in Monroe, NC (NOW HIRING)

Quora

iOS Engineer -Remote

Rock Hill, SC · Remote

$166.68K - $191.40K/yr

We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ... You will work at the cutting edge of technology to design, develop, and maintain the Poe iOS app.

Quora

iOS Engineer -Remote

Charlotte, NC · Remote

$166.68K - $191.40K/yr

We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ... You will work at the cutting edge of technology to design, develop, and maintain the Poe iOS app.

BGE, Inc.

Project Engineer - Civil Engineering

Charlotte, NC · On-site +1

$82.90K - $110.70K/yr

... remote work options, dependent care, and flexible Fridays. * Work on engineering and design elements on multiple projects for private or public clients (depending on the position) * Act as an ...

BGE

Project Engineer - Civil Engineering

Charlotte, NC · On-site +1

$83K - $110.90K/yr

... remote work options, dependent care, and flexible Fridays. * Work on engineering and design elements on multiple projects for private or public clients (depending on the position) * Act as an ...

US Bank

Nexthink Systems Engineer

Charlotte, NC · Remote

The Nexthink Systems Engineer directs or recommends enhancements for system performance ... Design, develop, test, and maintain Nexthink Remote Actions for proactive and reactive remediation ...

next page

Showing results 1-20

People also search for

All JobsRemote Rf Design Engineer JobsRemote Rf Design Engineer Jobs in Monroe, NC

Remote Rf Design Engineer information

See Monroe, NC salary details

$34.3K

$109.1K

$169.7K

How much do remote rf design engineer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for remote rf design engineer in Monroe, NC is $109,103.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,400.00 and $128,900.00 per year, depending on experience, location, and employer.

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

To excel as a Remote RF Design Engineer, you need a strong background in electrical engineering, RF circuit theory, and practical experience in wireless communication systems, often supported by a relevant degree. Familiarity with design tools such as HFSS, ADS, CST, and experience with simulation and measurement equipment are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills are crucial for collaborating remotely and addressing complex design challenges. These skills ensure the development of reliable, high-performance RF solutions and facilitate effective teamwork in distributed engineering environments.

What are some common challenges faced by Remote RF Design Engineers, and how can they be addressed?

Remote RF Design Engineers often encounter challenges such as limited access to on-site testing facilities, reliance on virtual collaboration tools, and managing communication across distributed teams. To address these, it's important to establish clear communication protocols, leverage simulation software for remote testing, and schedule regular check-ins with other engineering team members. Additionally, proactively sharing design updates and documentation helps ensure alignment and smooth project progression.

What is a Remote RF Design Engineer?

A Remote RF Design Engineer is a professional who specializes in designing and optimizing radio frequency (RF) systems and components, such as antennas, transmitters, and receivers, while working remotely from a location outside of a traditional office or lab. These engineers use specialized software and tools to model, simulate, and test RF circuits and systems for applications like wireless communications, broadcasting, and radar. Their responsibilities often include collaborating with multidisciplinary teams, troubleshooting RF issues, and ensuring compliance with industry standards—all while leveraging online communication platforms.

What is the difference between Remote Rf Design Engineer vs Remote Wireless Systems Engineer?

AspectRemote Rf Design EngineerRemote Wireless Systems Engineer
CredentialsBachelor's in Electrical Engineering, RF certificationsBachelor's in Electrical/Communications Engineering, RF certifications
Work EnvironmentDesign labs, remote collaboration, project-basedSystem integration, network testing, remote teams
Industry UsageTelecom, wireless device manufacturingWireless network providers, telecom infrastructure

The Remote Rf Design Engineer primarily focuses on designing RF components and circuits, while the Remote Wireless Systems Engineer works on integrating and optimizing entire wireless systems. Both roles require RF knowledge and often overlap in industry applications, but their core responsibilities differ in scope and focus.

What are popular job titles related to Remote Rf Design Engineer jobs in Monroe, NC? For Remote Rf Design Engineer jobs in Monroe, NC, the most frequently searched job titles are:
What cities near Monroe, NC are hiring for Remote Rf Design Engineer jobs? Cities near Monroe, NC with the most Remote Rf Design Engineer job openings:
Remote Rf Design Engineer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rock Hill, SC • Remote

Other

Posted 12 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