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Embedded Software Engineer Remote Jobs in Philadelphia, PA

Quora

iOS Engineer -Remote

Philadelphia, PA · Remote

$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 ...

Quora

iOS Engineer -Remote

West Chester, PA · Remote

$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 ...

Quora

iOS Engineer -Remote

Wilmington, DE · Remote

$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 ...

Quora

iOS Engineer -Remote

Trenton, NJ · Remote

$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 ...

HHAeXchange

Sr. Software Engineer

Philadelphia, PA · Remote

$140K - $160K/yr

Mentor fellow software engineers, fostering a culture of collaboration, accountability, and technical excellence. Conduct code reviews, providing feedback to improve team efficiency and maintain ...

HHAeXchange

Sr. Software Engineer

Philadelphia, PA · On-site +1

$140K - $160K/yr

Mentor fellow software engineers, fostering a culture of collaboration, accountability, and technical excellence. Conduct code reviews, providing feedback to improve team efficiency and maintain ...

M&T Bank

Lead Software Engineer - mainframe

Wilmington, DE · On-site +1

$128K - $213K/yr

... Software Development Lifecycle (SDLC) while also coaching others. Supports and enhances core ... Experience working in small, remote engineering teams with deep system ownership * Expert ...

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All JobsEmbedded Software Engineer JobsEmbedded Software Engineer Remote JobsEmbedded Software Engineer Remote Jobs in Philadelphia, PA

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 Jun 12, 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 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 is an Embedded Software Engineer Remote job?

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 in the Embedded Software Engineer Remote position, and why are they important?

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 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:
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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:
Embedded Software Engineer Remote jobs near you

AI / ML Software Engineer

Hallmark Global Solutions Ltd

Malvern, PA • On-site, Remote

Other

Posted 4 days ago

Job description

5 Open roles mentioned in the email below you can submit contractors or FTE, and these are 100% Remote.
  • We have 5 new positions added, Need only FTE (FTC only if candidate is PHD and has any issue joining FTE like visa constraint etc) and candidate should be working from Malvern PA location
  • Sr Lead to Architect Level (hands on lead/ architect)
  • Job Title: AI / ML Software Engineer
  • Exp: 8 - 15 years of exp
  • No of Position: 5
  • Location - 100% Remote
  • Client Vanguard

Job Description
You will operate as a hands-on engineering leader responsible for designing, building, and running production-grade ML and Generative AI services, while setting technical direction that scales across multiple workstreams. You will remain close to the code and architecture decisions, establish delivery and engineering standards, and ensure solutions meet enterprise expectations for security, stability, and operational rigor.
A core requirement is stakeholder partnership: you will routinely explain what is being built, why it matters, and how it will perform in production to both technical and non-technical audiences, enabling informed decisions and clear delivery alignment.
Job responsibilities
  • Provide hands-on technical leadership by designing, developing, and deploying ML/LLM/GenAI solutions from concept through production, maintaining ownership for reliability and operability once deployed
  • Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases.
  • Mentor and uplift junior engineers through design reviews, code reviews, pairing, and coaching, raising engineering quality and delivery discipline across the team. You will build and institutionalize MLOps capabilities, including automated pipelines for deployment, monitoring, and model lifecycle management, with emphasis on scalability and reliability
  • Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation.
  • Conduct thorough evaluations of generative models (e.g., GPT-4.1), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications.
  • Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
  • Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences.
  • Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.
Required qualifications, capabilities, and skills
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • 10+ years of engineering experience, including 3-5+ years building, deploying, and operating applied AI/ML systems in production (model lifecycle, MLOps, monitoring, and governance).
  • Demonstrate hands-on engineering leadership: setting technical direction, making architecture decisions, conducting design and code reviews, mentoring junior engineers, and guiding implementation quality across multiple workstreams
  • Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.
  • Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.
  • Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.
  • Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs.
  • Ability to identify and address AI/ML/LLM/GenAI challenges, implement optimizations and fine-tune models for optimal performance in NLP applications.
  • Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.
  • A portfolio showcasing successful applications of generative models in NLP projects, including examples of utilizing OpenAI APIs for prompt engineering.
Preferred qualifications, capabilities, and skills
  • Familiarity with the financial services industries.
  • Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG).
  • Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.

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