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Remote Aerospace Software Engineer Jobs in Springfield, MA

The Hartford

Principal AI Engineer

Hartford, CT · On-site +1

Principal Software Engineer - IE06GE We're determined to make a difference and are proud to be an ... This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ...

The Hartford

Principal AI Engineer

Hartford, CT · On-site +1

$168K - $252K/yr

Principal Software Engineer - IE06GE We're determined to make a difference and are proud to be an ... This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ...

CVS Health

Staff Software Development Engineer

Hartford, CT · On-site +1

$147K - $260K/yr

Staff Software Development Engineer to Design and deliver efficient technical software solutions in ... Remote work permitted but must live within commuting distance of designated office location and ...

CS GROUP

Project Lead

East Hartford, CT · On-site +1

... systems in the aerospace industry in the United States. Joining CS Group USA is a unique ... engineering programs involving either Software (SW) or FPGA development. This is an excellent ...

Sopra Steria

Project Lead

East Hartford, CT · On-site +1

... systems in the aerospace industry in the United States. Joining CS Group USA is a unique ... engineering programs involving either Software (SW) or FPGA development. This is an excellent ...

Sopra Steria

Project Lead

East Hartford, CT · On-site +1

... systems in the aerospace industry in the United States. Joining CS Group USA is a unique ... engineering programs involving either Software (SW) or FPGA development. This is an excellent ...

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All JobsAerospace Software Engineer JobsRemote Aerospace Software Engineer JobsRemote Aerospace Software Engineer Jobs in Springfield, MA

Remote Aerospace Software Engineer information

See Springfield, MA salary details

$63.3K

$147K

$204.8K

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

As of Sep 4, 2026, the average yearly pay for remote aerospace software engineer in Springfield, MA is $147,007.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $172,400.00 per year, depending on experience, location, and employer.

What is a remote aerospace software engineer?

A Remote Aerospace Software Engineer is a professional who designs, develops, tests, and maintains software used in aerospace systems, such as aircraft, spacecraft, satellites, and related technologies, while working from a location outside of a traditional office setting. These engineers collaborate with multidisciplinary teams to ensure software meets the rigorous safety and performance standards required in the aerospace industry. They often use specialized programming languages and tools to create embedded systems, simulation software, or control systems, contributing to the advancement of aerospace technology from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote aerospace software engineer?

To thrive as a Remote Aerospace Software Engineer, you need a strong background in computer science, aerospace engineering principles, and proficiency in programming languages like C++, Python, or Ada, often supported by a relevant degree. Familiarity with aerospace industry standards, real-time operating systems, and tools such as MATLAB, Simulink, and version control systems is essential, and certifications like DO-178C may be required. Excellent problem-solving, attention to detail, self-motivation, and effective remote communication are crucial soft skills for collaborating across distributed teams. These skills and qualities ensure the development of reliable, safe, and compliant aerospace software systems while maintaining productivity in a remote work environment.

What are some common challenges faced by remote aerospace software engineers and how can they be addressed?

Remote aerospace software engineers often encounter challenges related to communication and collaboration, given the highly technical and regulated nature of aerospace projects. Coordinating with multidisciplinary teams across different time zones can require extra effort in scheduling meetings and ensuring everyone stays aligned on project milestones. To overcome these challenges, it's important to establish clear communication channels, leverage collaborative development tools, and maintain thorough documentation. Regular virtual check-ins and proactive status updates also help ensure smooth progress, compliance, and integration with hardware teams.

What is the difference between Remote Aerospace Software Engineer vs Remote Aerospace Systems Engineer?

AspectRemote Aerospace Software EngineerRemote Aerospace Systems Engineer
Required CredentialsBachelor's in Software Engineering, Computer Science, or related field; experience in aerospace software developmentBachelor's in Aerospace Engineering, Systems Engineering, or related; knowledge of aerospace systems and integration
Work EnvironmentPrimarily software development, coding, testing in remote settingsSystems integration, requirements analysis, and coordination across hardware and software components remotely
Employer & Industry UsageUsed by aerospace companies developing flight software, satellite systems, UAVsUsed in aerospace firms managing complex systems, spacecraft, and satellite projects

The main difference is that Remote Aerospace Software Engineers focus on developing and testing aerospace software remotely, while Remote Aerospace Systems Engineers handle system integration and requirements across hardware and software components. Both roles require aerospace knowledge but emphasize different technical skills and responsibilities.

What are popular job titles related to Remote Aerospace Software Engineer jobs in Springfield, MA?

For Remote Aerospace Software Engineer jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Remote Aerospace Software Engineer jobs in Springfield, MA look for?

The top searched job categories for Remote Aerospace Software Engineer jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Remote Aerospace Software Engineer jobs?

Cities near Springfield, MA with the most Remote Aerospace Software Engineer job openings:

Remote Aerospace Software Engineer jobs near you
Infographic showing various Remote Aerospace Software Engineer job openings in Springfield, MA as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 23% In-person, and 77% Remote job distribution, with an average salary of $147,007 per year, or $70.7 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Springfield, MA • 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.

Apply