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Remote Distributed Systems Engineer Jobs in Michigan

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

The role requires deep technical expertise in ML model serving, distributed systems, and GPU ... fully remote candidates, with periodic travel expected for company retreats and key on-site ...

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

The role requires deep technical expertise in ML model serving, distributed systems, and GPU ... fully remote candidates, with periodic travel expected for company retreats and key on-site ...

Centroid Systems, Inc.

Oracle Linux Engineer

Troy, MI · On-site +1

The Senior Systems Engineer is responsible for systems management across Linux, Unix and Windows ... Remote Job Requirements * Perform intermediate- to advanced-level UNIX systems administration ...

Utilidata

Software Engineer, On Device

Ann Arbor, MI · On-site +1

$120K - $150K/yr

Demonstrated ability to design and implement distributed systems utilizing microservices in a ... remote work. Our Commitments: Utilidata values the diversity of our team. We provide equal ...

Kiongroup

Professional Software Engineer

Grand Rapids, MI · Remote

$102K - $128K/yr

Maintain flexibility to support remote collaboration and evolving business priorities as needed ... Strong experience designing enterprise-grade applications and distributed systems. * Proficiency ...

Kiongroup

Professional Software Engineer

Grand Rapids, MI · Remote

$102K - $128K/yr

Maintain flexibility to support remote collaboration and evolving business priorities as needed ... Strong experience designing enterprise-grade applications and distributed systems. * Proficiency ...

OneStream

AI Engineer

Birmingham, MI · Remote

Knowledge of distributed systems and cloud-based computing (Azure). Knowledge, Skills, and ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

Echo Global Logistics

Sr. Software Engineer

Warren, MI · On-site +1

$115K - $152K/yr

You will help drive engineering excellence across distributed onshore and offshore teams by leading technical initiatives, establishing AI/ML integration patterns, improving system reliability and ...

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 ... sewage distribution systems, water distribution systems, water tower and pump station design.

AVL DiTEST

System Design Engineer

Plymouth, MI · On-site +1

$95K - $130K/yr

AVL Test Systems Inc offers a job in the United States (US) as System Design Engineer AVL Test ... This position follows a hybrid work arrangement, allowing a combination of remote and office-based ...

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Remote Distributed Systems Engineer information

How much do distributed systems engineers make?

Distributed systems engineers typically earn between $100,000 and $160,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and large-scale architecture can command higher salaries, especially in competitive tech markets.

What engineer makes $500,000 a year?

A remote distributed systems engineer can earn $500,000 annually, especially with extensive experience, specialized skills in cloud infrastructure, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing in large tech companies or startups.

What engineers make $200,000 a year?

Senior engineers in fields such as software engineering, especially those specializing in distributed systems, cloud infrastructure, or machine learning, can earn $200,000 or more annually. Achieving this level typically requires extensive experience, advanced skills in programming, system design, and often relevant certifications or advanced degrees. Compensation varies based on industry, location, and company size, with roles in tech giants and specialized firms more likely to reach this salary level.

What engineers make $300,000 a year?

Senior distributed systems engineers, especially those with expertise in cloud infrastructure, large-scale system design, and advanced programming skills, can earn $300,000 or more annually. High compensation often requires extensive experience, specialized knowledge, and sometimes leadership roles or working in high-demand industries like technology or finance.
What are the most commonly searched types of Distributed Systems Engineer jobs in Michigan? The most popular types of Distributed Systems Engineer jobs in Michigan are:
What are popular job titles related to Remote Distributed Systems Engineer jobs in Michigan? For Remote Distributed Systems Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Distributed Systems Engineer jobs in Michigan look for? The top searched job categories for Remote Distributed Systems Engineer jobs in Michigan are:
What cities in Michigan are hiring for Remote Distributed Systems Engineer jobs? Cities in Michigan with the most Remote Distributed Systems Engineer job openings:
Remote Distributed Systems 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

Re-posted 28 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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