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Remote Embedded Ai Jobs in Philadelphia, PA (NOW HIRING)

Comoto

Director, ERP

Philadelphia, PA · On-site +1

If remote, must be based in the United States.**** You are a seasoned ERP leader (JDE) who is ... You will own the full JDE application portfolio -- everything connected to or embedded in JDE ...

Cycle Gear

Director, ERP

Philadelphia, PA · On-site +1

If remote, must be based in the United States.**** You are a seasoned ERP leader (JDE) who is ... You will own the full JDE application portfolio - everything connected to or embedded in JDE - and ...

Comoto

Director, ERP

Philadelphia, PA · On-site +1

If remote, must be based in the United States.**** You are a seasoned ERP leader (JDE) who is ... You will own the full JDE application portfolio - everything connected to or embedded in JDE - and ...

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All JobsEmbedded Ai JobsRemote Embedded Ai JobsRemote Embedded Ai Jobs in Philadelphia, PA

Remote Embedded Ai information

See Philadelphia, PA salary details

$70.6K

$154.8K

$175.6K

How much do remote embedded ai jobs pay per year?

As of Aug 31, 2026, the average yearly pay for remote embedded ai in Philadelphia, PA is $154,777.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,700.00 and $174,600.00 per year, depending on experience, location, and employer.

What is a remote embedded AI engineer?

A Remote Embedded AI engineer is a professional who develops and integrates artificial intelligence (AI) algorithms into embedded systems, such as IoT devices, sensors, or smart appliances, while working from a remote location. Their role involves optimizing AI models to run efficiently on hardware with limited resources, ensuring reliable performance and low power consumption. These engineers typically collaborate with cross-functional teams to deliver intelligent, connected products, leveraging skills in machine learning, software development, and embedded hardware. Working remotely allows them to contribute to global projects without being tied to a specific office location.

What are the key skills and qualifications needed to thrive as a remote embedded AI engineer?

To thrive as a Remote Embedded AI Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++, Python, or TensorFlow Lite, often supported by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), edge AI development platforms, and version control tools such as Git is typically required. Strong problem-solving skills, effective remote communication, and self-motivation help you excel in collaborative yet independent work environments. These competencies are crucial for building efficient, innovative AI solutions on hardware platforms while ensuring seamless teamwork across distributed teams.

What are some common challenges faced by remote embedded AI engineers, and how can they be overcome?

Remote Embedded AI Engineers often encounter challenges such as limited access to hardware for testing, asynchronous communication with distributed teams, and integrating AI models within resource-constrained embedded systems. Overcoming these challenges involves utilizing remote debugging tools, setting up robust simulation environments, and maintaining clear, regular communication with team members. Collaboration platforms and thorough documentation help ensure smooth coordination, while staying updated on best practices in embedded AI can address technical limitations.

What is the difference between Remote Embedded Ai vs Remote Machine Learning Engineer?

AspectRemote Embedded AiRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with embedded systemsBachelor's or higher in Computer Science, Data Science, or related fields; strong programming and statistical skills
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsCloud platforms, data centers, software development environments
Industry UsageConsumer electronics, automotive, industrial IoTTech companies, finance, healthcare, research
Common Search/ComparisonYesNo

Remote Embedded Ai professionals focus on developing AI algorithms for embedded hardware and real-time systems, often working with IoT devices and specialized hardware. In contrast, Remote Machine Learning Engineers primarily develop models in cloud environments for data analysis and prediction. While both roles require strong programming skills, Embedded Ai emphasizes hardware integration, whereas Machine Learning Engineers focus on scalable model deployment.

What are the most commonly searched types of Embedded Ai jobs in Philadelphia, PA?

The most popular types of Embedded Ai jobs in Philadelphia, PA are:

What are popular job titles related to Remote Embedded Ai jobs in Philadelphia, PA?

For Remote Embedded Ai jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Remote Embedded Ai jobs in Philadelphia, PA look for?

The top searched job categories for Remote Embedded Ai jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Remote Embedded Ai jobs?

Cities near Philadelphia, PA with the most Remote Embedded Ai job openings:

Remote Embedded Ai jobs near you

Robotics/Mechatronics Expert - Remote

YO AI Labs

Philadelphia, PA • Remote

$80 - $100/hr

Full-time

Posted 5 days ago

Job description

Job Title: Robotics & Mechatronics AI Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Robotics and Mechatronics Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will apply your engineering knowledge to real-world robotics and mechatronics challenges while demonstrating how advanced AI coding agents can support complex technical workflows.

The ideal candidate combines hands-on expertise in robotics, mechatronics, system design, and engineering problem-solving with practical experience using AI coding agents such as Codex, Claude Science, Claude Code, and Claude Cowork.

No prior experience in AI training is required—your domain expertise, technical judgment, and ability to apply AI agents to sophisticated engineering problems are what matter most.

Scope of Work
  • Analyze and solve practical robotics and mechatronics problems using advanced AI coding agents.
  • Design, implement, test, and document solutions to challenging technical scenarios involving robotics and mechatronic systems.
  • Demonstrate how AI agents can be applied to complex, ambiguous, or large-scale engineering problems.
  • Use AI coding agents for tasks such as navigating large codebases, debugging complex issues, developing features, and optimizing technical workflows.
  • Document agent-driven workflows, including the technical context, decisions, prompts or instructions, generated code sequences, iterations, and outcomes.
  • Evaluate AI-generated solutions for technical correctness, reliability, maintainability, and practical engineering relevance.
  • Provide structured written and verbal feedback on AI agent performance, usability, limitations, and effectiveness.
  • Contribute real-world examples involving end-to-end feature development, system design, architectural changes, debugging, and workflow automation.
  • Collaborate remotely with project stakeholders to identify opportunities for using AI agents to accelerate robotics and mechatronics development.
Required Skills
  • Robotics
  • Mechatronics
  • AI Coding Agents
  • Codex
  • Claude Science
  • Claude Code
  • Claude Cowork
  • System Design
  • Debugging Complex Codebases
  • End-to-End Feature Development
  • Technical Documentation
  • Problem-Solving
  • Written and Verbal Communication
  • Remote Collaboration
Preferred Qualifications
  • Current or recent professional experience in robotics, mechatronics, automation, controls, embedded systems, or a related STEM discipline.
  • Demonstrated hands-on experience with robotics or mechatronics projects involving software, hardware, control systems, sensors, actuators, or system integration.
  • Proven experience using Codex, Claude Science, Claude Code, and Claude Cowork to generate and execute multi-step code sequences for real-world engineering applications.
  • Experience applying AI coding agents beyond simple code generation, including debugging, system design, architecture, optimization, testing, and technical workflow automation.
  • Experience working with large or complex codebases and implementing end-to-end technical features.
  • Familiarity with major architectural changes, refactoring, system integration, and troubleshooting complex engineering software.
  • Ability to clearly document technical workflows and explain how AI agents contributed to engineering decisions and outcomes.
  • Strong written and verbal communication skills with the ability to communicate complex technical concepts clearly.
  • Experience working independently in remote, collaborative engineering environments.
  • Ability to provide concrete examples demonstrating how AI agentic workflows have improved technical problem-solving, development speed, or engineering productivity.