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Nasa Software Engineer Remote Jobs in Wisconsin (NOW HIRING)

Quora

$166K - $191K/yr

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 ...

Konecranes

Structural Engineer - remote

New Berlin, WI · On-site +1

The Structural Engineer position is part of the Industrial Crane and product engineering team, and ... Use of RISA 3D, vendor software, KC Developed Programs and other in-house built analytical tools to ...

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Nasa Software Engineer Remote information

What are some common challenges faced by remote NASA software engineers, and how are they typically addressed?

Remote NASA Software Engineers often face challenges related to communication across different time zones, collaborating on complex projects with diverse teams, and ensuring secure access to sensitive systems. These challenges are typically addressed through regular virtual meetings, robust documentation, and the use of advanced collaboration tools. NASA also provides secure remote access protocols and encourages a culture of proactive communication to maintain productivity and alignment among remote team members.

What are the key skills and qualifications needed to thrive as a NASA software engineer working remotely?

To thrive as a NASA Software Engineer in a remote setting, you need strong programming skills (such as Python, C++, or Java), a solid understanding of computer science principles, and typically a bachelor's degree in computer science or a related field. Familiarity with specialized software development tools, version control systems like Git, and experience with NASA's or aerospace industry-specific platforms are commonly required. Excellent problem-solving, self-motivation, and effective communication are critical soft skills for collaborating across dispersed teams. These competencies ensure the delivery of high-quality, reliable software solutions essential for NASA's complex and mission-critical projects.

What does a NASA software engineer do when working remotely?

A NASA Software Engineer working remotely designs, develops, tests, and maintains software applications that support NASA missions and projects. This can include building code for spacecraft operations, data analysis, simulations, or mission control systems. Remote engineers collaborate with interdisciplinary teams using online tools to track progress, resolve issues, and ensure software reliability and security. They follow strict coding standards and documentation protocols to meet NASA's high-quality requirements. Communication and proactive problem-solving are essential skills for remote software engineers at NASA.
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Nasa Software Engineer Remote jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Milwaukee, WI • Remote

Full-time

Re-posted 16 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