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Remote Energy Modeler Jobs in Michigan (NOW HIRING)

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

... existing energy infrastructure. For over a decade, we have applied AI to the electric grid ... The role requires deep technical expertise in ML model serving, distributed systems, and GPU ...

EnerSys

Application Security Engineer (REMOTE)

Novi, MI · Remote

$117K - $146K/yr

EnerSys is a global leader in stored energy solutions for industrial applications. We have over ... Support threat modeling, risk assessments, and security architecture reviews for applications.

EnerSys

Senior Finance AI & Automation Developer

Novi, MI · On-site +1

$95K - $119K/yr

EnerSys is a global leader in stored energy solutions for industrial applications. We have over ... Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ...

Verdantas

Senior Distribution Engineer

Petoskey, MI · On-site +1

$130K/yr

Additionally, the opportunity is remote, but it would require 50% travel to client sites. At ... modeling and laser scanning. Join us to power the shift toward cleaner, smarter energy solutions.

Verdantas

Senior Distribution Engineer

Grand Rapids, MI · On-site +1

$130K/yr

Additionally, the opportunity is remote, but it would require 50% travel to client sites. At ... modeling and laser scanning. Join us to power the shift toward cleaner, smarter energy solutions.

Leidos

Transmission Line Engineer

Walled Lake, MI · On-site +1

$73K - $132K/yr

South Region (Hybrid & Remote options available) The Opportunity Join a premier team solving the ... Apply advanced modeling (PLS-TOWER, LPILE, FAD) to solve site-specific challenges, from complex ...

Utilidata

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

... existing energy infrastructure. For over a decade, we have applied AI to the electric grid ... Strong understanding of data modeling and storage strategies * Strong software engineering ...

Intertek

Global Key Account Manager

Kentwood, MI · Remote

Global Key Account Manager - Remote Intertek, a leading provider of quality and safety solutions to ... Our automotive, battery and energy storage, and related transportation industry testing and ...

Maxor National Pharmacy Services

This is a remote-based position within the Continental US. Our Company Founded in 1926, Maxor is a ... Analyze pharmacy claims, drug pricing, rebate models, and utilization trends for internal teams and ...

New

Maxor National Pharmacy Services

This is a remote-based position within the Continental US. Our Company Founded in 1926, Maxor is a ... Analyze pharmacy claims, drug pricing, rebate models, and utilization trends for internal teams and ...

New

Maxor National Pharmacy Services

This is a remote-based position within the Continental US. Our Company Founded in 1926, Maxor is a ... Analyze pharmacy claims, drug pricing, rebate models, and utilization trends for internal teams and ...

New

ABB

Senior Technical Business Developer - Grid Automation

MI · Remote

$95K - $125K/yr

This is a remote position. Candidates can be located anywhere in the US, with preference for Cary ... Experience with SaaS or subscription-based business models in the energy sector. * Familiarity with ...

Tetra Tech

Civil Engineer III

Detroit, MI · On-site +1

This opportunity is remote and/or hybrid-friendly that can be performed from a wide range of ... Today we stand as a market leader, offering cutting-edge solutions in water, environment, energy ...

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All JobsEnergy Modeler JobsRemote Energy Modeler JobsRemote Energy Modeler Jobs in Michigan

Remote Energy Modeler information

What is the highest paying job in renewable energy?

In renewable energy, senior roles such as Renewable Energy Director or Chief Sustainability Officer tend to be the highest paying, often earning six-figure salaries. These positions require extensive experience, leadership skills, and knowledge of project management, policy, and technical aspects of renewable energy systems.

What is the difference between Remote Energy Modeler vs Remote Energy Analyst?

AspectRemote Energy ModelerRemote Energy Analyst
CredentialsDegree in engineering, energy, or related field; certifications like LEED AP or Energy Management certificationsDegree in environmental science, economics, or related; similar certifications may apply
Work EnvironmentDesigning energy models, using simulation software, collaborating with engineers and architectsAnalyzing energy data, preparing reports, providing insights for energy efficiency
Industry UsageCommonly employed in renewable energy, building design, and energy consulting firmsUsed across utilities, consulting firms, and government agencies

The main difference is that Remote Energy Modelers focus on creating detailed energy simulations and models, while Remote Energy Analysts interpret data and provide insights. Both roles require similar educational backgrounds and certifications, but their daily tasks and focus areas differ within the energy industry.

What are the key skills and qualifications needed to thrive as a Remote Energy Modeler, and why are they important?

To thrive as a Remote Energy Modeler, you need a solid background in building science, energy analysis, and a relevant degree in engineering or a related field. Proficiency with energy modeling software such as eQUEST, EnergyPlus, or IESVE, along with familiarity with building codes and certification programs like LEED, is typically required. Strong analytical thinking, attention to detail, and effective communication skills are essential to interpret data accurately and collaborate with remote teams. These skills are crucial for producing reliable energy models that inform sustainable building designs and compliance with energy standards.

What are remote energy modelers?

Remote energy modelers are professionals who use specialized software to simulate and analyze the energy performance of buildings or systems, typically working from a remote location. They assess factors like energy consumption, efficiency, and environmental impact to help clients optimize designs, retrofit existing structures, and meet sustainability goals. Their work supports architects, engineers, and energy consultants in making data-driven decisions that improve energy efficiency and reduce costs.

What software is used for energy modeling?

Energy modelers typically use specialized software such as EnergyPlus, eQUEST, TRNSYS, and HOMER to simulate and analyze energy systems. Proficiency in these tools, along with skills in data analysis and modeling, is essential for accurate energy assessments and design optimization.

What does an energy modeler do?

An energy modeler develops simulations and analyses of energy systems to optimize efficiency and sustainability. They use specialized software and data to assess energy consumption, identify improvements, and support project planning for renewable energy, building design, or energy policy. Strong analytical skills and knowledge of energy systems are essential for this role.

Can Revit do energy modeling?

As a remote energy modeler, understanding Revit's capabilities is important. Revit itself does not perform detailed energy modeling but can be integrated with tools like Autodesk Insight or third-party software to analyze building energy performance. Proficiency in these integrations and knowledge of energy simulation are essential for comprehensive energy modeling tasks.

How does a Remote Energy Modeler typically collaborate with other project stakeholders while working offsite?

As a Remote Energy Modeler, effective collaboration is key to project success. You’ll regularly interact with architects, engineers, and project managers through virtual meetings, shared modeling platforms, and cloud-based documentation tools. Clear communication and timely feedback are essential, as you’ll often need to integrate updated design specifications and provide modeling results for decision-making. Being proactive in scheduling check-ins and maintaining organized, accessible files helps streamline teamwork and ensures all stakeholders stay aligned despite working remotely.
What are the most commonly searched types of Energy Modeler jobs in Michigan? The most popular types of Energy Modeler jobs in Michigan are:
What are popular job titles related to Remote Energy Modeler jobs in Michigan? For Remote Energy Modeler jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Energy Modeler jobs in Michigan look for? The top searched job categories for Remote Energy Modeler jobs in Michigan are:
Remote Energy Modeler jobs near you
AI Infrastructure Engineer

AI Infrastructure Engineer

Utilidata

Ann Arbor, MI • On-site, Remote

$170K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade, we have applied AI to the electric grid - bringing real-time visibility and power-flow control to complex energy infrastructure. Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them.
The AI Infrastructure Engineer is responsible for designing, building, and owning the end-to-end infrastructure that serves Utilidata's AI and ML models across edge deployments, cloud environments, and data center integrations. They are also responsible for designing, building, and owning the integration of power data with AI inference software. This is Utilidata's first dedicated role of this kind, and will serve as the foundational function for how the company deploys and operates AI capabilities in production. The role requires deep technical expertise in ML model serving, distributed systems, and GPU infrastructure, with a strong emphasis on reliability, performance, and scalability. This position works cross-functionally with product, engineering, and data science teams and is open to fully remote candidates, with periodic travel expected for company retreats and key on-site engagements.
Responsibilities
  • Lead the design and build of Utilidata's AI inference platform - establishing architecture patterns, deployment standards, and operational practices that will scale with the company
  • Own end-to-end model serving infrastructure for Utilidata's AI infrastructure (on-prem and datacenter)
  • Build and maintain fault-tolerant, high-performance systems for serving AI models at scale, with a focus on low latency, reliability, and cost efficiency
  • Collaborate closely with algorithms engineers to integrate AI inference data and configuration with power optimization algorithms
  • Optimize GPU utilization and inference performance across our hardware fleet, including NVIDIA accelerators central to Utilidata's edge AI platform
  • Establish MLOps best practices including CI/CD pipelines for model deployment, monitoring, and rollback across environments
  • Contribute to infrastructure roadmap decisions, including build vs. buy tradeoffs, tooling selection, and platform evolution as the team grows

Minimum Qualifications
  • 5+ years of software engineering experience with a strong focus on AI infrastructure, backend systems, or distributed systems
  • Hands-on experience with AI model serving frameworks (e.g., vLLM, SGLang, Triton, TensorRT, TorchServe, or similar)
  • Understanding of container orchestration and cluster management (Kubernetes, Docker)
  • Experience deploying and operating infrastructure across both datacenter and on-prem environments
  • Strong knowledge of GPU workloads and the tradeoffs that come with them - you understand how inference differs from training, and why it matters
  • Proficiency in Python; C++, CUDA, Go, Rust a plus
  • Excellent communication skills and comfort working cross-functionally in a lean, fast-moving environment
  • Willingness to travel up to 10% of time

Enhanced Qualifications (Nice to Have)
  • Dynamo experience a plus
  • Experience with edge AI deployments or constrained compute environments
  • Familiarity with infrastructure as code (Terraform, Helm)
  • Experience with observability platforms (Datadog, Prometheus, Grafana)
  • Background in energy, utilities, or industrial IoT
  • Contributions to open-source ML infrastructure projects

Salary Range: $170,000 to $210,000 base compensation depending on experience plus stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands.
Location: This position can be performed remotely from anywhere in the United States.
Our Commitments:
Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws.
We are committed to:
  • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful
  • Empowering employees to solve problems and work together to make a difference
  • Providing mentorship and growth opportunities as part of a collaborative team
  • A flexible work environment with flexible paid time off
  • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

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