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Remote Systems Requirements Engineer Jobs in Detroit, MI

Application Engineer

Detroit, MI ยท On-site +1

$85K - $130K/yr

Remote in the Detroit, Michigan area On-Target Compensation: $85,000 - $130,000 ( Compensation is ... The Application Engineer provides technical expertise in motion control, drive systems, and ...

Showing results 21-40

Remote Systems Requirements Engineer information

See Detroit, MI salary details

$53K

$125.9K

$165.3K

How much do remote systems requirements engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote systems requirements engineer in Detroit, MI is $125,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $155,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote systems requirements engineer?

To thrive as a Remote Systems Requirements Engineer, you need a solid background in systems engineering, requirements analysis, and a relevant engineering or computer science degree. Familiarity with requirements management tools like IBM DOORS or Jama Connect, as well as certifications such as INCOSE CSEP, are commonly expected. Exceptional communication, analytical thinking, and collaboration skills help bridge gaps between stakeholders and technical teams. These competencies ensure precise requirements gathering, effective remote teamwork, and successful project outcomes.

What does a remote systems requirements engineer do?

A Remote Systems Requirements Engineer is responsible for gathering, analyzing, documenting, and managing the requirements for complex systems, often in fields like software, aerospace, or automotive engineering. They work closely with stakeholders, developers, and other engineers to ensure that the system meets both customer needs and technical constraints. Working remotely, these engineers use digital collaboration tools to communicate, track requirements, and validate that the final product aligns with initial specifications. Their work is crucial in preventing costly errors and ensuring project success.

What is the difference between Remote Systems Requirements Engineer vs Remote Network Engineer?

AspectRemote Systems Requirements EngineerRemote Network Engineer
CertificationsCCNA, CCNP, CompTIA Security+CCNA, CCNP, CompTIA Network+
Work EnvironmentFocus on system requirements, specifications, and integrationFocus on network infrastructure, configuration, and troubleshooting
Industry UsageIT, software development, systems integrationTelecommunications, IT, enterprise networks
Common Search/ComparisonYesYes

The Remote Systems Requirements Engineer primarily focuses on defining and managing system specifications and ensuring integration across various platforms. In contrast, the Remote Network Engineer specializes in designing, implementing, and maintaining network infrastructure. Both roles require similar certifications and often work within the same industries, but their core responsibilities differ significantly.

Which remote systems requirements engineer jobs can be done remotely?

Remote systems requirements engineer jobs are commonly available and can be performed entirely online, often requiring skills in systems analysis, requirements gathering, and familiarity with tools like JIRA or Confluence. These roles typically involve collaborating with teams via video conferencing and project management platforms, making remote work feasible across various industries and organizations.

How does a remote systems requirements engineer typically collaborate with cross-functional teams while working offsite?

As a Remote Systems Requirements Engineer, you'll regularly interact with stakeholders such as software developers, project managers, and quality assurance teams through virtual meetings and collaborative platforms. Clear and proactive communication is essential, as you'll be responsible for translating business needs into detailed technical requirements, often across different time zones. Utilizing tools like Jira, Confluence, and video conferencing, you ensure alignment and resolve ambiguities quickly. Building strong relationships and maintaining transparency are key to overcoming the challenges of remote collaboration.
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Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rochester Hills, MI โ€ข Remote

Full-time

Re-posted 18 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

โ€‹

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:

  • Bachelorโ€™s or Masterโ€™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.