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Remote Navy Software Engineer Jobs in Logan, UT (NOW HIRING)

iOS Engineer -Remote

Logan, UT · 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 ...

Remote Navy Software Engineer information

See Logan, UT salary details

$54.8K

$127.3K

$177.3K

How much do remote navy software engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for remote navy software engineer in Logan, UT is $127,253.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,500.00 and $149,200.00 per year, depending on experience, location, and employer.

How does a remote Navy software engineer typically collaborate with on-site teams and stakeholders?

As a Remote Navy Software Engineer, you’ll frequently coordinate with on-site technical teams, project managers, and military stakeholders using secure communication channels and collaboration tools. You can expect to attend regular virtual meetings, review technical documentation, and participate in secure code repositories. Effective remote communication and familiarity with Navy-specific protocols are essential to ensure that software solutions meet stringent security and operational requirements. Building strong relationships with on-site counterparts helps streamline troubleshooting and deployment processes.

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

To thrive as a Remote Navy Software Engineer, you need a strong background in computer science or engineering, proficiency in programming languages like C++, Java, or Python, and typically a security clearance. Familiarity with military software systems, version control tools (such as Git), and compliance standards like DoD cybersecurity protocols is essential. Excellent problem-solving, communication, and teamwork skills are crucial for collaborating remotely and addressing complex defense challenges. These skills ensure secure, reliable software solutions that meet stringent military requirements and support mission-critical operations.

What does a remote Navy software engineer do?

A Remote Navy Software Engineer designs, develops, tests, and maintains software systems that support various Navy operations and missions. They may work on applications for ship navigation, defense systems, data analysis, or communication tools, ensuring these systems are secure and reliable. Although the position is remote, engineers collaborate with other team members and stakeholders using digital communication tools. Security and confidentiality are crucial due to the sensitive nature of Navy projects.
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What cities near Logan, UT are hiring for Remote Navy Software Engineer jobs? Cities near Logan, UT with the most Remote Navy Software Engineer job openings:

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Logan, UT • 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.