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Embedded Software Engineer Remote Jobs in Philadelphia, PA

Software AI Engineer2 Experience: 6 - 8 yrs Location: 1 - US Bay Area 1 - US Remote Key ... Collaborate with data scientists and other engineers to integrate AI models into existing systems.

AI Trainer - Remote

Philadelphia, PA ยท Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

The AI Engineer will build AI-powered systems that automate and improve workflows for M3 USA ... software an order of magnitude more rapidly than traditional methods. You should be an expert ...

The AI Engineer will build AI-powered systems that automate and improve workflows for M3 USA ... software an order of magnitude more rapidly than traditional methods. You should be an expert ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

The AI Engineer will build AI-powered systems that automate and improve workflows for M3 USA ... software an order of magnitude more rapidly than traditional methods. You should be an expert ...

iOS Engineer -Remote

West Chester, PA ยท Remote

$61.63 - $88.47/hr

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 ...

iOS Engineer -Remote

Trenton, NJ ยท Remote

$61.63 - $88.47/hr

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 ...

Showing results 41-60

Embedded Software Engineer Remote information

See Philadelphia, PA salary details

$70.6K

$154.8K

$175.6K

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

As of Sep 9, 2026, the average yearly pay for embedded software engineer remote 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 an embedded software engineer remote?

An Embedded Software Engineer Remote job involves designing, developing, and testing software that runs on embedded systems, such as microcontrollers or IoT devices, while working remotely. These engineers write low-level code, optimize performance, and ensure seamless hardware-software integration. They use programming languages like C, C++, or Python and collaborate with teams through virtual communication tools. Remote roles require strong self-discipline, effective communication, and the ability to troubleshoot issues independently.

What are the key skills and qualifications needed to thrive as an embedded software engineer remote?

To thrive as an Embedded Software Engineer Remote, you need strong programming skills in C/C++, a solid understanding of embedded systems architecture, and often a degree in computer engineering, electrical engineering, or a related field. Familiarity with real-time operating systems (RTOS), version control tools like Git, and hardware debugging tools is commonly required, and certifications like Certified Embedded Systems Engineer (CESE) are a plus. Excellent problem-solving, self-motivation, and clear communication are important soft skills for effective remote collaboration. These capabilities enable you to deliver reliable, efficient solutions in a distributed work environment while supporting cross-functional teams and project objectives.

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

Remote Embedded Software Engineers often encounter challenges such as limited direct access to physical hardware, coordinating across different time zones with team members, and maintaining effective communication for troubleshooting and integration tasks. These challenges can be mitigated by utilizing remote hardware labs, well-established code repositories, and clear documentation practices. Regular video meetings, collaborative development tools, and proactive status updates also help keep projects on track and align team efforts. By staying organized and responsive, remote engineers can overcome these obstacles and deliver high-quality embedded solutions.

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

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

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

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

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

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

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

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

Infographic showing various Embedded Software Engineer Remote job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $154,777 per year, or $74.4 per hour.

Software AI Engineer

North Wales, PA โ€ข Remote

Jade Global
IT Servicesย โ€ขย 51 - 200 employees

Full-time

Re-posted 23 days ago


Job description

Software AI Engineer2

Experience: 6 - 8 yrs

Location:

1 - US Bay Area

1 - US Remote

Key Responsibilities:
Design, develop, and implement AI/ML models and algorithms using Python.
Deploy and manage AI solutions on cloud platforms (e.g., AWS, Azure, GCP).
Collaborate with data scientists and other engineers to integrate AI models into existing systems.
Optimize AI models for performance, scalability, and cost-efficiency.
Stay up-to-date with the latest advancements in AI/ML technologies and cloud services.
Participate in the full software development lifecycle, including testing, deployment, and monitoring.