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Remote Sram Circuit Design Jobs (NOW HIRING)

Senior Electrical Engineer

Huntsville, AL ยท On-site +1

$105K - $137K/yr

Secret Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Senior Electrical ... Perform calculations, simulations, and analysis for circuit design, power distribution, grounding ...

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Remote Sram Circuit Design information

What is a remote SRAM circuit design engineer?

A Remote SRAM Circuit Design engineer is a specialized electrical or electronics engineer who designs, simulates, and validates Static Random-Access Memory (SRAM) circuits while working remotely. This role involves creating circuit layouts, optimizing memory performance, ensuring low power consumption, and collaborating with teams using digital tools. Remote SRAM designers often use EDA (Electronic Design Automation) software and are responsible for delivering high-quality memory blocks for integration into larger semiconductor projects. Effective communication and strong technical expertise are essential for success in this remote position.

What are the key skills and qualifications needed to thrive as a remote SRAM circuit design engineer?

To excel as a Remote SRAM Circuit Design Engineer, you typically need a strong background in electrical engineering, CMOS technology, and digital/analog circuit design, often supported by a relevant degree. Proficiency with EDA tools like Cadence, Synopsys, and SPICE simulation software, as well as familiarity with industry standards, is essential. Attention to detail, problem-solving abilities, and effective remote communication are critical soft skills for collaborating with global teams and addressing complex design challenges. These skills are vital to ensure reliable, high-performance SRAM designs and seamless teamwork in a distributed work environment.

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

Remote SRAM circuit design engineers often face challenges such as effective communication with cross-functional teams, ensuring access to secure design tools, and collaborating on highly detailed schematics. To address these, it's important to establish regular virtual meetings, use secure and industry-standard EDA tools with remote access capabilities, and maintain clear documentation. Proactively syncing with team members and leveraging collaborative platforms can help ensure that design iterations and feedback are managed efficiently.
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Infographic showing various Remote Sram Circuit Design job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Technical Problem Author (Multi-Domain) - Remote

New York, NY โ€ข Remote

Full-time

Posted 16 days ago


Job description

Job Title: Technical Problem Author – Engineering

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Engineering Technical Problem Authors to contribute their technical expertise to a project focused on advancing next-generation AI systems in engineering. In this role, you will create and evaluate challenging, real-world technical problems and assess AI-generated engineering responses for accuracy, rigor, and practical relevance.

Your engineering knowledge will help improve how AI systems reason through complex technical problems, apply engineering principles, and communicate technically sound solutions. No prior AI experience is required—your domain expertise and technical judgment are what matter most.

Scope of Work
  • Author and evaluate advanced technical problems across areas such as Aerodynamics, Materials Science, CAD/Mechanical Design, Mechanical Engineering, Circuit Design, and related disciplines.
  • Review AI-generated technical responses for correctness, engineering accuracy, completeness, and practical relevance.
  • Apply engineering judgment to real-world design, analysis, troubleshooting, and failure scenarios as well as theoretical problem contexts.
  • Analyze complex technical issues, identify ambiguities, and recommend clarifications to problem statements, assumptions, and conditions.
  • Develop technically rigorous problems that test analytical reasoning, engineering principles, calculations, and design judgment.
  • Provide structured written feedback and clear explanations to improve AI-generated technical reasoning.
  • Collaborate remotely with technical experts and project participants to maintain high-quality deliverables.
  • Document technical insights, identified weaknesses, and recommendations to support continuous improvement of AI models and problem sets.
Required Skills
  • Mechanical Engineering
  • Aerodynamics
  • AutoCAD
  • Technical Problem Authoring
  • Engineering Analysis
  • Technical Documentation
  • Analytical Reasoning
  • Technical Review & Validation
  • Written and Verbal Communication
Preferred Qualifications
  • Advanced degree (MS or PhD) in a relevant engineering discipline, or substantial professional industry experience.
  • At least 5 years of hands-on technical experience in a relevant engineering field; deeper experience is preferred for Aerodynamics, Circuit Design, and Mechanical Engineering roles.
  • Demonstrated experience creating technically rigorous problems, such as through academic examinations, engineering competitions, licensure exams, standards committees, or technical assessment programs.
  • Experience with technical publications, patents, industry awards, competition results, committee participation, or other evidence of recognized technical expertise.
  • Professional-level English proficiency with excellent written and verbal communication skills.
  • Familiarity with industry-standard engineering tools such as AutoCAD, CAD software, CFD/FEA platforms, EDA tools, simulation software, or laboratory equipment relevant to your specialty.
  • Ability to work independently and remotely while consistently delivering high-quality technical content within project timelines.
Compensation Structure

Compensation is output-based, with experts paid per task that meets the applicable project specifications and quality standards. The time required to complete each task may vary depending on the expert's experience and workflow.

Minimum submission requirements apply, and selected experts are expected to complete a minimum number of tasks per week.

Start Timeline & Availability

Roles are typically filled within 48 hours. Selected experts should be prepared to begin their first assignments within 24–48 hours of completing onboarding.

If you are an experienced engineer with strong technical judgment and a passion for creating rigorous engineering problems, this is an opportunity to apply your expertise to the development of advanced AI systems.