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Aviation Software Engineer Remote Jobs (NOW HIRING)

Staff Software Engineer

San Francisco, CA · Remote

$172K - $227K/yr

Remote, United States (West Coast preferred); $172,500 -$227,500 base (flexible) About Our client ... The Staff Software Engineer is responsible for extending their in-house blockchain systems ...

Senior Software Engineer Full-Time Position | Portland, Oregon About Us Rapta is revolutionizing ... While we will consider remote applicants on a case-by-case basis, local presence is strongly valued ...

Senior Software Engineer

Summerville, SC · Remote

$125K - $165K/yr

Senior Software Engineer Senior Software Engineer (Remote - C#/.NET/Azure) Company Overview We are a fully remote team located across the US. We have a revolutionary Education Technology platform ...

Senior Software Engineer [REMOTE]

San Francisco, CA · Remote

$144K - $190K/yr

Learn more at upbound.io Upbound is hiring a Senior Software Engineer to help us build and operate ... LI-REMOTE Why Upbound? At Upbound, you'll help shape the systems and strategies that drive ...

Senior Software Engineer [REMOTE]

$125K - $165K/yr

Learn more at upbound.io Upbound is hiring a Senior Software Engineer to help us build and operate ... LI-REMOTE Why Upbound? At Upbound, you'll help shape the systems and strategies that drive ...

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Showing results 1-20

Aviation Software Engineer Remote information

See salary details

$63.5K

$147.5K

$205.5K

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

As of Jul 14, 2026, the average yearly pay for aviation software engineer remote in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Aviation Software Engineer (Remote), and why are they important?

To thrive as an Aviation Software Engineer working remotely, you need a strong background in computer science or engineering, proficiency in programming languages like C++ or Python, and experience with aviation standards such as DO-178C. Familiarity with tools like MATLAB, Simulink, version control systems (e.g., Git), and certification in safety-critical software development are often required. Exceptional problem-solving, attention to detail, and clear remote communication skills help you excel in distributed teams. These skills ensure the delivery of reliable, compliant, and safe aviation software crucial for the industry's strict regulatory and operational demands.

What does an Aviation Software Engineer do when working remotely?

An Aviation Software Engineer working remotely is responsible for designing, developing, testing, and maintaining software solutions specifically for the aviation industry. This can include applications for flight management systems, air traffic control, aircraft navigation, and other critical aviation technologies. Remote engineers collaborate with teams using digital tools, ensuring the software meets safety standards and regulatory requirements. They also troubleshoot issues, implement updates, and may interact with hardware simulators or cloud-based systems to ensure functionality and reliability. Communication and collaboration skills are vital, as much of the coordination happens online.

What are some common challenges faced by Aviation Software Engineers working remotely, and how can they be addressed?

Aviation Software Engineers working remotely may encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring secure access to sensitive aviation data, and maintaining clear communication during complex development cycles. To address these issues, it is helpful to establish regular virtual meetings, utilize robust collaboration tools, and adhere to strict cybersecurity protocols. Proactively documenting code and processes also helps maintain project alignment and quality standards within a distributed team.
More about Aviation Software Engineer Remote jobs
What cities are hiring for Aviation Software Engineer Remote jobs? Cities with the most Aviation Software Engineer Remote job openings:
What are the most commonly searched types of Aviation Software Engineer jobs? The most popular types of Aviation Software Engineer jobs are:
What states have the most Aviation Software Engineer Remote jobs? States with the most job openings for Aviation Software Engineer Remote jobs include:
Infographic showing various Aviation Software Engineer Remote job openings in the United States as of July 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 100% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.
Senior AI Platform/Backend Software Engineer

Senior AI Platform/Backend Software Engineer

Apex Informatics

Remote

$125K - $165K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Title: Senior AI Platform/Backend Software Engineer
Remote role
Job Description:
Job Description
  • Design and deploy agentic AI workflows that connect Large Language Models (LLMs) and custom machine learning models into backend architectures, using frameworks like LangChain, LangGraph, PydanticAI or SemanticKernel.
  • Design systems for multi-agent coordination and multi-step reasoning loops/memory management.
  • Build and maintain data ingestion pipelines and vector databases (e.g., Pinecone, Weaviate) to support Retrieval-Augmented Generation for AI agents.
  • Implement tracing (e.g., LangSmith, Langfuse) and build evaluation pipelines to measure accuracy, latency, and cost.
  • Design testing strategies for non-deterministic AI outputs, including the implementation of guardrails and safety constraints.
  • Deploy and orchestrate containerized services using Docker and Kubernetes on cloud platforms like AWS, GCP, or Azure (Azure preferred)
  • Preferred: Experience with Azure Foundry/ Azure OpenAI

Qualifications
  • University degree in Computer Science or a related discipline.
  • 12+ years of professional experience in software engineering or backend systems.
  • 2-3 years relevant experience in AI technologies - building APIs, integrating LLMs, designing RAG pipelines, and deploying scalable microservices.
  • Strong applied expertise with frameworks like LangChain, FastAPI, CrewAI, and cloud platforms.