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Remote Software Defined Radio Engineer Jobs in Utah

MRIoA

Senior Azure Cloud Engineer (Remote)

Salt Lake City, UT · On-site +1

$54 - $72/hr

An award-winning remote work environment POSITION OVERVIEW Our Principal Cloud Engineer is a senior ... Implement cloud security controls as defined by the Information Security team; build audit logging ...

New

Packsize

Application Security Engineer

Salt Lake City, UT · On-site +1

$56.75 - $76/hr

Application Security Engineer About the Role Packsize is seeking an experienced Application ... remote device deployment and secure firmware/software delivery. * In-depth knowledge of cloud ...

eNett

Senior Backend Engineer - AI Platform

Salt Lake City, UT · On-site +1

$118K - $156K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Seattle, WA; and Portland, ME About the Team/Role We are seeking a seasoned Sr. Software Engineer ...

WEX

Senior Backend Engineer - AI Platform

Salt Lake City, UT · On-site +1

$118K - $156K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Seattle, WA; and Portland, ME About the Team/Role We are seeking a seasoned Sr. Software Engineer ...

RainFocus

Cybersecurity Engineer (Remote)

Lehi, UT · On-site +1

RainFocus, one of the most innovative software companies, is in search of an exceptional Cybersecurity Engineer . About RainFocus RainFocus cares about its employees, customers, and the world in ...

BambooHR

Principal Software Architect

Draper, UT · Remote

This is a remote position available in the state listed on this job. Additionally, employment with ... Looking for a role where you can engineer and architect a product but still have a life outside of ...

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Remote Software Defined Radio Engineer information

What does a remote software defined radio engineer do?

A Remote Software Defined Radio (SDR) Engineer designs, develops, and maintains radio communication systems that are implemented through software rather than traditional hardware circuits. Working remotely, they use programming languages and signal processing techniques to create flexible and efficient radio solutions for applications such as telecommunications, defense, and research. Their responsibilities include developing algorithms, optimizing radio performance, troubleshooting signal issues, and collaborating with cross-functional teams, all while leveraging remote communication and development tools.

What is the difference between Remote Software Defined Radio Engineer vs RF Engineer?

AspectRemote Software Defined Radio EngineerRF Engineer
CredentialsBachelor's/Master's in Electrical Engineering, Communications, or related fields; experience with SDR platformsBachelor's/Master's in Electrical Engineering, RF Engineering, or related fields; certifications like FCC or RF-specific training
Work EnvironmentRemote or on-site, focused on software development and signal processingPrimarily on-site or lab-based, focused on hardware, testing, and RF system design
Industry UsageTelecommunications, defense, aerospace, software companiesWireless communications, broadcasting, defense, telecommunications

The Remote Software Defined Radio Engineer specializes in developing and implementing SDR systems through software, often working remotely. In contrast, the RF Engineer focuses on hardware design, testing, and deployment of RF systems. Both roles require technical expertise but differ mainly in their focus on software versus hardware components.

What are some typical challenges faced by remote software defined radio engineers, and how can they be addressed?

Remote Software Defined Radio (SDR) Engineers often encounter challenges such as managing complex signal processing tasks, ensuring reliable communication across distributed teams, and staying updated with evolving SDR technologies. Working remotely may also require effective collaboration using digital tools and clear documentation to align with colleagues on system design and troubleshooting. To overcome these challenges, SDR Engineers benefit from proactive communication, regular code reviews, and ongoing professional development through webinars and technical forums.

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

To thrive as a Remote Software Defined Radio Engineer, you need a strong background in electrical engineering, digital signal processing, and RF communications, typically supported by a relevant degree. Proficiency with SDR platforms (such as GNU Radio, USRP, or MATLAB), wireless protocols, and programming languages like Python or C++ is essential. Strong problem-solving, independent work ethic, and effective remote communication skills help set candidates apart. These abilities are crucial for designing, implementing, and troubleshooting complex radio systems in distributed and collaborative environments.
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Remote Software Defined Radio Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Salt Lake City, UT • Remote

Full-time

Re-posted 17 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