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Remote Critical Infrastructure Engineer Jobs in Michigan

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

The AI Infrastructure Engineer is responsible for designing, building, and owning the end-to-end ... fully remote candidates, with periodic travel expected for company retreats and key on-site ...

OneStream Software

Senior SysOps Engineer

Rochester, MI · Remote

$120K - $149K/yr

Remote, USA Employment Type : Full-Time Compensation : $120,000.00 - $149,000.00 (Range applies to ... Vision, Medical, Life, Dental, 401K Summary The Senior SysOps Engineer plays a critical role in ...

OneStream Software

Senior SysOps Engineer

Birmingham, MI · Remote

$120K - $149K/yr

Remote, USA Employment Type : Full-Time Compensation : $120,000.00 - $149,000.00 (Range applies to ... Vision, Medical, Life, Dental, 401K Summary The Senior SysOps Engineer plays a critical role in ...

CertifID

Senior Site Reliability Engineer

Grand Rapids, MI · On-site +1

$54.75 - $72.75/hr

You'll play a critical role in building scalable infrastructure patterns, advancing observability ... Remote worker reimbursement of $300/year * Professional development reimbursement * Competitive pay

CertifID

Senior Site Reliability Engineer

Grand Rapids, MI · On-site +1

$54.75 - $72.75/hr

You'll play a critical role in building scalable infrastructure patterns, advancing observability ... Remote worker reimbursement of $300/year * Professional development reimbursement * Competitive pay

GEI Consultants

Dam Safety Engineer

Marquette, MI · On-site +1

$85K - $120K/yr

A fully remote option may be available for the right candidate. Candidate will be part of a ... to critical infrastructure and the future of our energy supply - need our brightest and diverse ...

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Remote Critical Infrastructure Engineer information

What is the difference between Remote Critical Infrastructure Engineer vs Remote Network Security Engineer?

AspectRemote Critical Infrastructure EngineerRemote Network Security Engineer
Required CredentialsBachelor's in Engineering, certifications like CISSP, CISABachelor's in IT or Cybersecurity, CISSP, CompTIA Security+
Work EnvironmentDesigning, maintaining critical infrastructure systems remotelyMonitoring, securing networks remotely
Employer & Industry UsageUtilities, transportation, energy sectorsFinancial, healthcare, tech industries
Common Search & Comparison IntentUnderstanding roles in infrastructure securityComparing cybersecurity roles in networks

The Remote Critical Infrastructure Engineer focuses on designing and maintaining essential systems like power grids and transportation networks remotely, ensuring their resilience. In contrast, the Remote Network Security Engineer specializes in protecting organizational networks from cyber threats remotely. Both roles require cybersecurity certifications and involve remote work, but they serve different industry needs and technical focuses.

What are the most commonly searched types of Critical Infrastructure Engineer jobs in Michigan? The most popular types of Critical Infrastructure Engineer jobs in Michigan are:
What are popular job titles related to Remote Critical Infrastructure Engineer jobs in Michigan? For Remote Critical Infrastructure Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Critical Infrastructure Engineer jobs in Michigan look for? The top searched job categories for Remote Critical Infrastructure Engineer jobs in Michigan are:
What cities in Michigan are hiring for Remote Critical Infrastructure Engineer jobs? Cities in Michigan with the most Remote Critical Infrastructure Engineer job openings:
Remote Critical Infrastructure Engineer 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

Posted 15 days ago

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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