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Remote Sram Design Engineer Jobs in Rutland, VT (NOW HIRING)

Quora

iOS Engineer -Remote

Rutland, VT · On-site

$166K - $191K/yr

We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ... You will work at the cutting edge of technology to design, develop, and maintain the Poe iOS app.

Quora

AI Automation Engineer -Remote

Rutland, VT · On-site

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... For Toronto and Vancouver based applicants, the salary range is $202,383 - $234,201 CAD + equity ...

World Wide Technology

Solution Specialist

Rutland, VT · On-site

Remote - Nationwide, United States Why WWT? At World Wide Technology, we work together to make a ... What is the Solutions Consulting & Engineering (SC&E) Team and why join? Solutions Consulting ...

All JobsRemote Sram Design Engineer JobsRemote Sram Design Engineer Jobs in Rutland, VT

Remote Sram Design Engineer information

See Rutland, VT salary details

$18

$51

$75

How much do remote sram design engineer jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for remote sram design engineer in Rutland, VT is $51.92, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $63.27 per hour, depending on experience, location, and employer.

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

AspectRemote Sram Design EngineerRemote Memory Design Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, VLSI design experienceBachelor's or Master's in Electrical Engineering, VLSI or semiconductor design experience
Work EnvironmentDesign teams, semiconductor companies, remote collaborationMemory chip companies, integrated circuit design teams, remote work
Industry UsageUsed in digital circuit design, embedded systems, and hardware developmentUsed in memory chip development, hardware architecture, and semiconductor industry

Remote Sram Design Engineers focus on designing static RAM components used in digital systems, while Remote Memory Design Engineers work on broader memory architectures including DRAM, Flash, and other memory types. Both roles require similar technical skills and often operate in similar environments, but they specialize in different memory technologies and applications.

Remote Sram Design Engineer jobs near you
Infographic showing various Remote Sram Design Engineer job openings in Rutland, VT as of June 2026, with employment types broken down into 81% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $107,999 per year, or $51.9 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rutland, VT • On-site

Other

Posted 2 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply