ZipRecruiter

Log In

2

Remote Memory Design Engineer Jobs in Grafton, MA

YO AI Labs

Autodesk Fusion 360 Expert - Remote

Boston, MA · On-site +1

$40 - $120/hr

Remote Job Overview We are seeking experienced Autodesk Fusion 360 Specialists to contribute their ... No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ...

YO AI Labs

Autodesk Fusion 360 Expert - Remote

Boston, MA · On-site +1

$40 - $120/hr

Remote Job Overview We are seeking experienced Autodesk Fusion 360 Specialists to contribute their ... No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ...

YO AI Labs

Autodesk Inventor Expert - Remote

Boston, MA · On-site +1

$30 - $120/hr

Remote Job Overview We are seeking experienced Autodesk Inventor Specialists to contribute their ... No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ...

YO AI Labs

Autodesk Inventor Expert - Remote

Boston, MA · On-site +1

$30 - $120/hr

Remote Job Overview We are seeking experienced Autodesk Inventor Specialists to contribute their ... No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ...

eNett

Senior Backend Engineer - AI Platform

Boston, MA · On-site +1

$133K - $175K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Design solutions for context management, memory, and retrieval-augmented generation (RAG) to ...

WEX

Senior Backend Engineer - AI Platform

Boston, MA · On-site +1

$133K - $175K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Design solutions for context management, memory, and retrieval-augmented generation (RAG) to ...

Nasuni

Senior Software Engineer - File System

Boston, MA · On-site +1

$133K - $175K/yr

Strong C or C++ expertise, including memory management, concurrency, debugging, profiling, and ... Strong written communication skills for design docs, reviews, remote collaboration, and operational ...

next page

Showing results 1-20

All JobsMemory Design Engineer JobsRemote Memory Design Engineer JobsRemote Memory Design Engineer Jobs in Grafton, MA

Remote Memory Design Engineer information

See Grafton, MA salary details

$81.5K

$143.1K

$294.2K

How much do remote memory design engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote memory design engineer in Grafton, MA is $143,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $160,000.00 per year, depending on experience, location, and employer.

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.

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 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 popular job titles related to Remote Memory Design Engineer jobs in Grafton, MA?

For Remote Memory Design Engineer jobs in Grafton, MA, the most frequently searched job titles are:

Remote Memory Design Engineer jobs near you
Infographic showing various Remote Memory Design Engineer job openings in Grafton, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 30% In-person, and 70% Remote job distribution, with an average salary of $143,141 per year, or $68.8 per hour.

Computational Design Research Engineer

Foundation EGI

Boston, MA • Remote

$100K - $140K/yr

Full-time

Re-posted 16 days ago

Job description

REQUIRED: MUST have experience with Code Development + Computational Design and/or Geometry Processing. Applicants will not be considered without this experience.
 
About Us:
 
We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.
 
 

On this Role:

This role is a mix of a few worlds coming together. You’ll be working with machine learning but not in a vacuum it’s applied to real engineering problems, working with 2D and 3D data from CAD, CAE, and CAM systems. A big part of the work is taking complex geometry, design workflows, and simulation data and figuring out how to turn that into something an AI system can actually understand and use.

We’re looking for someone who’s strong technically, especially in Python and ML, but also has the curiosity to dig into how things are designed and built in the real world. You might come from a research background or industry but either way you’re comfortable moving between theory and practical application. If you’ve spent time around mechanical systems or engineering design, that’s a big plus, because a lot of this role is about bridging that gap between advanced models and how engineers actually work day to day.

 
Responsibilities
  • Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
  • Build services for reading, processing, and writing 2D/3D engineering data.
  • Develop rendering modules for generating 2D/3D visual assets.
  • Curate and manage large-scale datasets for learning-based systems.
  • Implement and optimize post-training workflows for machine learning models.
  • Contribute to the development of domain-specific languages for engineering tasks.
What we are looking for
  • 5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages.
  • Proficient in writing clean, modular, and maintainable Python code.
  • Experience with dataset creation and data pipeline development.
  • PhD or MS with a focus in Computational Design, Simulation, or AI.
  • Experience developing CAD/CAM/CAE software tools.
  • Experience developing or fine-tuning large language models (LLMs), including post-training methods such as quantization, pruning, distillation, or reinforcement learning.
  • Experience designing or implementing DSLs or compilers.

This range represents base compensation only and is intended to provide flexibility for candidates with varying levels of experience, expertise and demonstrated impact. Final compensation will be determined based on factors including skills, experience, location,and overall alignment with the role.

In addition to base salary, eligible employees may receive:

• Equity participation in the company's long-term success
• Comprehensive benefits package including medical, dental and vision coverage
• Retirement savings benefits
• Generous paid time off and company holidays
• Remote-first work environment
• Fully funded company offsites and team gatherings
• Professional development and learning opportunities
• Home office support and remote work resources

We believe compensation should grow alongside impact. Our salary ranges are intentionally designed to provide room for career progression, increased scope of responsibility and continued growth within Foundation EGI.

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.