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Remote Memory Design Engineer Jobs in Winder, GA

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... You will design reproducible environments, deterministic verification, and reference solutions for ...

DevOps Engineer - Remote

Atlanta, GA ยท Remote

$50 - $150/hr

Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production ... Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident ...

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

AI/ML Engineer - Remote

Atlanta, GA ยท Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering . * Develop ...

Backend Java Developer Job Type: Contractor Location: Remote Job Overview We are seeking ... Design, develop, and maintain scalable backend applications using Java and Spring Boot . * Build ...

Senior Software Engineer (Remote)

Atlanta, GA ยท Remote

$117K - $155K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... We partner closely with Design, Product Management, and other teams to create solutions for our ...

Backend Developer - Remote

Atlanta, GA ยท Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... You will design reproducible environments, deterministic verification, and reference solutions for ...

Frontend Developer - Remote

Atlanta, GA ยท Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... You will design reproducible environments, deterministic verification, and reference solutions for ...

Showing results 41-60

Remote Memory Design Engineer information

See Winder, GA salary details

$71K

$124.7K

$256.3K

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

As of Sep 8, 2026, the average yearly pay for remote memory design engineer in Winder, GA is $124,699.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,800.00 and $139,400.00 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.

Infographic showing various Remote Memory Design Engineer job openings in Winder, GA 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 $124,699 per year, or $60 per hour.

AI/ML Software Engineer - Remote

YO AI Labs

Atlanta, GA โ€ข Remote

$80 - $120/hr

Full-time

Posted 12 days ago


Job description

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 reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.