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Remote Raytheon Software Engineer Jobs in Iowa (NOW HIRING)

$139K - $168K/yr

Previous software engineering experience via an internship, work experience, or coding competition ... LI-SS2 LI-REMOTE

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Remote Raytheon Software Engineer information

How does a remote Raytheon software engineer typically collaborate with cross-functional teams while working offsite?

Remote Raytheon Software Engineers work closely with multidisciplinary teams, including systems engineers, project managers, and cybersecurity specialists, primarily through virtual collaboration tools. Regular video meetings, code reviews, and shared project management platforms are used to maintain communication and alignment on project goals. Despite being remote, engineers are expected to proactively engage in team discussions, contribute to documentation, and participate in agile development sprints. Effective collaboration is key to ensuring that complex defense and aerospace software solutions are delivered on time and meet rigorous quality standards.

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

To thrive as a Remote Raytheon Software Engineer, you need a solid background in computer science or related fields, proficiency in programming languages like C++, Java, or Python, and often a security clearance. Familiarity with development tools such as Git, Jenkins, and integrated development environments (IDEs), as well as knowledge of software development methodologies like Agile, is typically required. Strong problem-solving abilities, effective communication, and the ability to collaborate virtually make candidates stand out in this remote setting. These skills and qualities are crucial for delivering high-quality, secure software solutions that meet rigorous defense and aerospace industry standards while working effectively in distributed teams.

What is the difference between Remote Raytheon Software Engineer vs Remote Lockheed Martin Software Engineer?

AspectRemote Raytheon Software EngineerRemote Lockheed Martin Software Engineer
Required CredentialsBachelor's in CS or related field, security clearance preferredBachelor's in CS or related field, security clearance preferred
Work EnvironmentPrimarily remote, defense industry projectsPrimarily remote, defense and aerospace projects
Employer & Industry UsageRaytheon Technologies, defense and aerospaceLockheed Martin, defense and aerospace

Both roles typically require similar credentials, including a bachelor's degree and security clearance. They operate in remote environments focused on defense projects within major aerospace and defense companies. The main difference lies in the employer and specific project focus, with Raytheon emphasizing missile defense and cybersecurity, while Lockheed Martin specializes in aerospace and military systems.

What is a remote Raytheon software engineer?

A Remote Raytheon Software Engineer is a software professional employed by Raytheon Technologies who works from a location outside of a traditional office, often from home. They are responsible for designing, developing, and maintaining software systems that support Raytheon's defense, aerospace, and cybersecurity projects. These engineers collaborate with teams using digital communication tools and adhere to strict security and quality standards. Remote roles may require secure network access and compliance with government regulations, especially for projects involving sensitive or classified information.
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Generative AI Automation Engineer - Remote Job

EnthuZiastic

Cedar Rapids, IA โ€ข 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

โ€‹

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:

  • Bachelorโ€™s or Masterโ€™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.