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Remote Embedded Software Intern Jobs in Philadelphia, PA

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Remote Embedded Software Intern information

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$13

$25

$39

How much do remote embedded software intern jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote embedded software intern in Philadelphia, PA is $25.65, according to ZipRecruiter salary data. Most workers in this role earn between $20.87 and $29.09 per hour, depending on experience, location, and employer.

What is a remote embedded software intern?

A Remote Embedded Software Intern is a student or recent graduate who works remotely to assist in the development and testing of software that runs on embedded systems, such as microcontrollers or IoT devices. Their tasks often include writing code in languages like C or C++, debugging hardware-software interactions, and collaborating with engineering teams through virtual platforms. The position provides hands-on experience in embedded systems while allowing interns to work from anywhere, making it ideal for gaining industry experience without the need to relocate.

What are the key skills and qualifications needed to thrive as a remote embedded software intern?

To thrive as a Remote Embedded Software Intern, you generally need a solid understanding of computer science fundamentals, C/C++ programming, and familiarity with microcontroller architectures, often supported by ongoing or completed coursework in electrical engineering or computer engineering. Experience with development tools such as integrated development environments (IDEs), version control systems like Git, and debugging hardware or simulators is typically required. Strong problem-solving skills, self-motivation, and effective communication are crucial soft skills for remote collaboration and learning. These skills and qualities are important because they enable interns to contribute meaningfully to real-world embedded systems projects while adapting to remote teamwork and project demands.

What are some common challenges faced by remote embedded software interns, and how can they be managed effectively?

Remote Embedded Software Interns often encounter challenges such as limited access to physical hardware for testing, coordinating with geographically dispersed teams, and troubleshooting issues without in-person support. To address these challenges, interns should proactively communicate with their mentors, make use of simulation tools, and participate in regular virtual meetings to stay aligned with project goals. Establishing a strong routine for documenting progress and asking for feedback can also help interns stay engaged and overcome obstacles effectively.

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

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

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

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

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

Remote Embedded Software Intern jobs near you

Senior Product Owner/ Forward Deployed Executive - AI Delivery

Provectus

Philadelphia, PA • On-site, Remote

Full-time

Re-posted 10 days ago

Job description

Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements.

We are hiring a Senior Solution Owner to sit at the intersection of frontier AI and enterprise transformation. You will own the story and the delivery for client engagements built on our Programs, Cowork Activation, Agentic SDLC with Claude Code, and Blueprint Activation, packaging reusable IP into repeatable outcomes and getting hands on in the field when it counts. You are equally comfortable framing an ROI case for a CFO, aligning a healthcare or financial services stakeholder on a compliant rollout, and pairing with an engineer to wire an MCP integration or ship a Claude Code harness.

What You Will Do:
  • Define value proposition, positioning, and reusable artifacts for your assigned Program or Blueprint, and align sales and delivery
  • Build business cases covering market fit, ROI, and competitive positioning, and translate them into scoped statements of work
  • Run market and use case validation, workshops, and user research, and turn findings into demos and first deployments
  • Stand up Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation on live client data, driving rapid prototyping from use case to context to result
  • Build with the Provectus delivery stack, including Claude Code, AWOS, MCP servers, Skills, and plugins
  • Define solution vision and roadmap for GenAI and agentic engagements, RAG, and agentic workflows
  • Break complex work into incremental releases and balance delivery against technical debt and architecture
  • Lead Agile execution across backlog, sprint planning, and release process, following a Sprint, Enable, Realize engagement model
  • Contribute to the measurement framework behind our board level AI Maturity Index, ROI signal, and cost read
  • Define success metrics and analytics, and drive continuous improvement through root cause analysis
  • Support change management, enablement, and reusable playbooks so wins repeat across accounts
What You Will Bring:
  • Deep domain expertise in Financial Services and Insurance and/or Healthcare and Life Sciences, ideally in a client facing or consulting context
  • Proven ability to lead or materially contribute to a Provectus Program or Blueprint from zero to one and scale, landing it as real client delivery
  • Track record operating forward deployed or embedded with clients, as either a Forward Deployed Engineer or Forward Deployed Expert, including hands on prototyping
  • 5 to 7+ years in solution or product ownership or delivery leadership
  • 3 to 5+ years with AI/ML, GenAI, agentic systems, or data platforms
  • Strong Agile/Scrum experience and familiarity with outcome based, milestone priced engagements
  • Working knowledge of Claude, Claude Code, and Cowork, including building skills, workflows, and productivity tooling
  • Comfort with MCP integrations, connectors, and custom harnesses
  • Understanding of GenAI and agentic patterns, including prompt engineering, RAG, embeddings, vector databases, and agent frameworks, well enough to assess quality and translate to client stakeholders
  • Data fundamentals, including what ETL/ELT, data modeling, and governance mean in an enterprise context
  • Familiarity with AWS as a primary cloud platform, and what MLOps and AI observability involve
  • Strong design thinking, data driven decision making, and executive storytelling
  • Bias to action and comfort operating with structured problem solving in ambiguity
  • Enough engineering empathy to earn credibility with senior engineers and architects on day one
  • Fluent English
Nice To Have:
  • A second priority vertical beyond your primary FSI or HCLS focus
  • Prior experience in a Premier AWS or Anthropic partner environment
  • Claude Certified Architect, Seller, or Developer certification, or willingness to complete one early
  • Certifications such as CSPO, SAFe PO/PM, or AWS/Azure/GCP
  • Software development background
What We Offer:
  • Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
  • The chance to shape how leading enterprises adopt AI, from strategy through first deployment
  • A forward deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
  • A growing AI delivery practice where you help build the tooling and frameworks, not just use them
  • Remote friendly culture
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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