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Remote Memory Design Engineer Jobs in Pennsylvania

The Pennsylvania State University

$201K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Identify and address performance bottlenecks, memory usage issues, and other technical challenges

HBK Engineering, LLC

Design Lead

Norristown, PA · On-site +1

About Us HBK Engineering, LLC is a fully licensed, professional engineering design firm ... Proficiency with remote communication software. * Ability to come up to speed quickly on in-process ...

HBK Engineering, LLC

Design Lead

Philadelphia, PA · On-site +1

About Us HBK Engineering, LLC is a fully licensed, professional engineering design firm ... Proficiency with remote communication software. * Ability to come up to speed quickly on in-process ...

Delphinus Engineering

Back-End Engineer

Philadelphia, PA · Remote

$75K - $125K/yr

The Back-End Engineer position supports the design, development, and maintenance of sophisticated Condition Assessment Systems and Remote Monitoring Systems that are crucial for naval operations. The ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... mid-level design engineer interested in transitioning from a traditional design and project ...

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Remote Memory Design Engineer information

What is the difference between Remote Memory Design Engineer vs Memory Architect?

AspectRemote Memory Design EngineerMemory Architect
CredentialsBachelor's or Master's in Electrical Engineering or Computer EngineeringBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields; often with specialized certifications
Work EnvironmentDesign teams, R&D labs, semiconductor companies, often collaborative and project-basedHigh-level planning, system-level design, often in R&D or architecture teams
Industry UsageUsed in semiconductor, electronics, and hardware development companiesPrimarily in chip design, hardware architecture firms, and large tech companies

The Remote Memory Design Engineer focuses on designing and optimizing memory components at the circuit level, while the Memory Architect develops overall memory system architectures and strategies. Both roles require strong technical skills, but the Design Engineer is more hands-on with hardware implementation, whereas the Architect works on high-level design and system integration.

What are the key skills and qualifications needed to thrive as a Remote Memory Design Engineer, and why are they important?

To thrive as a Remote Memory Design Engineer, you need a solid understanding of digital circuit design, semiconductor memory architecture, and a degree in electrical or computer engineering. Familiarity with EDA tools like Cadence and Synopsys, as well as experience with hardware description languages such as Verilog or VHDL, are typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills set outstanding candidates apart. These skills ensure the ability to design reliable, high-performance memory circuits while collaborating efficiently with distributed teams.

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

Remote memory design engineers often encounter challenges such as collaborating effectively with globally distributed teams, managing complex hardware-software integration remotely, and ensuring clear communication on intricate design specifications. These obstacles can be addressed by leveraging collaborative design tools, participating in regular virtual meetings, and maintaining thorough documentation to align with team members. Proactive communication and strong organizational skills are crucial for staying synchronized with project milestones and quickly resolving technical issues.

What does a Remote Memory Design Engineer do?

A Remote Memory Design Engineer is responsible for designing and developing memory components, such as DRAM, SRAM, or Flash, used in electronic devices and systems. Working remotely, they collaborate with hardware and software teams to optimize memory performance, power consumption, and reliability. Their work often includes circuit design, simulation, validation, and troubleshooting. They also stay updated on the latest memory technologies and may contribute to documentation and technical support.
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Remote Memory Design Engineer jobs near you
Applied AI Product Engineer (Remote Opportunity)

Applied AI Product Engineer (Remote Opportunity)

VetsEZ

Philadelphia, PA • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago

Job description

EZLabs, the AI innovation division of VetsEZ, is seeking multiple Applied AI Product Engineers to join our growing team in a 100% remote role focused on building intelligent healthcare technology platforms and next-generation AI-driven solutions. At EZ Labs, we are transforming healthcare delivery through technology, innovation, and compassionate design. We partner with care teams, providers, and payers to improve patient engagement, care coordination, and claims management through advanced analytics, intelligent automation, and secure digital platforms.

This role is ideal for a hands-on engineer who thrives at the intersection of AI, product development, and full-stack software engineering. The ideal candidate has practical experience building and deploying real-world AI-powered applications using modern AI development tools such as Cursor, Claude, Codex, OpenAI, and related LLM technologies.

The candidate must reside within the continental US.

Responsibilities:

  • Design, develop, and implement AI-powered features across healthcare product platforms and operational systems.
  • Build full-stack applications using modern AI engineering workflows and tools such as Cursor, Claude, Codex, OpenAI APIs, and related LLM technologies.
  • Collaborate with product managers, designers, engineers, and clinical stakeholders to deliver scalable, user-focused solutions that improve patient engagement, care coordination, and operational efficiency.
  • Develop APIs, backend services, automation pipelines, and AI workflows that support intelligent product capabilities and production-ready deployments.
  • Apply software engineering, DevOps, and MLOps best practices to testing, deployment, monitoring, and optimization of AI solutions.
  • Research emerging AI technologies, LLM implementation patterns, and modern product engineering frameworks to continuously improve platform capabilities.
  • Navigate ambiguity, solve complex technical challenges, and collaborate effectively across technical and non-technical teams in a fast-paced Agile environment.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements:

  • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical discipline.
  • 2+ years of professional experience in software engineering, product engineering, or full-stack application development.
  • Hands-on experience delivering at least 2-3 production-level AI projects using tools such as Cursor, Claude, Codex, OpenAI, Anthropic, or similar AI development platforms.
  • Strong programming skills with proficiency in Python, TypeScript, JavaScript, or related modern development languages, along with experience building and deploying production-grade full-stack applications.
  • Experience integrating large language models (LLMs), prompt engineering, AI agents, generative AI workflows, or retrieval augmented generation (RAG) architectures.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, along with containerization and deployment technologies such as Docker and Kubernetes.
  • Strong communication, collaboration, analytical, and problem-solving skills with the ability to work independently in a remote Agile environment.

Additional Qualifications:

  • Experience with AI-assisted software development workflows, vector databases, embeddings, semantic search, orchestration frameworks, or AI workflow automation.
  • Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Hugging Face, or scikit-learn.
  • Exposure to CI/CD pipelines, DevOps practices, infrastructure automation, or secure healthcare technology environments.
  • Experience supporting healthcare, payer/provider, federal government, or Department of Veterans Affairs (VA) technology initiatives is preferred.
  • Ability to obtain a government clearance is a plus.

Benefits:

  • Medical/Dental/Vision.
  • 401k with Employer Match.
  • PTO + Federal Holidays.
  • Corporate Laptop.
  • Training opportunities.
  • Remote Opportunity.

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.

VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

Sorry, we are unable to offer sponsorship at this time

Employment Type: FULL_TIME

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